Explore real AI use cases from across public media, from colleagues in education, marketing, technology, and content. Panelists from Georgia Public Broadcasting, Nine PBS, Arizona Public Media, WETA, KSPS PBS, and WFSU share what’s working at their stations, what they’ve deliberately chosen not to use, and the policies and tools shaping their AI adoption.
Steal this (AI)dea
November 21, 2024
Full Transcript
[David Huppert] 12:04:41
Okay, so this is the third Thursday public media innovators webinar. Yay. Thank you.
[David Huppert] 12:04:48
On behalf of my co-chairs for this PLC through NETA.
[David Huppert] 12:04:53
Amber, Samdahl in Wisconsin, Chad Davis in Nebraska. We welcome you for another exciting conversation.
[David Huppert] 12:05:01
We’re going to take a break from talking about games, which we’ve done for the past two months.
[David Huppert] 12:05:06
and go back to a fan favorite
[David Huppert] 12:05:09
Which is AI. Can’t get enough of it. And this time we are so fortunate to be joined by a bunch of colleagues from throughout
[David Huppert] 12:05:17
the PBS public media ecosystem who are going to talk about how AI is
[David Huppert] 12:05:22
playing out in very specific sectors of where they work at the station and also nationally.
[David Huppert] 12:05:27
So we’ll hear from our friends in education.
[David Huppert] 12:05:32
In cyber, in community engagement.
[David Huppert] 12:05:35
In MarComm and in content, of course.
[David Huppert] 12:05:40
And just a reminder, the chat is very active. Please feel free to drop some questions in there if you have anything for any of the speakers at any time.
[David Huppert] 12:05:47
We will try to answer those in real time.
[David Huppert] 12:05:50
And if we can’t get to them, we will send them to the presenters. They can get back in touch with you.
[David Huppert] 12:05:55
As I told the presenters, this is a starter conversation for each of these topics. This is not
[David Huppert] 12:06:02
intended to fully embrace and leave everyone satisfied with all the answers to how AI is affecting work as we know it.
[David Huppert] 12:06:09
So I fully anticipate and hope that it’s a conversation starter.
[David Huppert] 12:06:13
questions in the chat, always welcomed.
[David Huppert] 12:06:16
We are also going to have some resources on our site, our Public Media Innovators site.
[David Huppert] 12:06:22
Amber is going to pop that into the chat now. That’s where you can find links to upcoming webinars.
[David Huppert] 12:06:29
Links to resources that we’ve collected, links to
[David Huppert] 12:06:35
Chad’s newsletter, which if you’re not all subscribing to, you should right now because it’s awesome and it keeps you up to speed on
[David Huppert] 12:06:41
all innovative things that are happening across the system and in the larger media ecosystem as well.
[David Huppert] 12:06:48
So my name is David Huppert. I’m the director of the Media Innovation Lab at PBS North Carolina, and I have the pleasure of sort of
[David Huppert] 12:06:55
facilitating this and turning it over to each of our colleagues in different PLCs, NETA PLCs throughout the hour.
[David Huppert] 12:07:02
I’m just going to preface this with one quick statement that
[David Huppert] 12:07:06
The question is like, why do we keep on going to AI? Why do we keep on going to AI? And I guess the answer is just that our public media
[David Huppert] 12:07:17
status and just media status in general or media ecosystem is under threat right i mean
[David Huppert] 12:07:22
People are abandoning broadcast, they’re going to streaming, there’s influencers on social. It’s changing so rapidly. And one of the biggest disruptors is like, what is AI going to do to help us maintain a foothold
[David Huppert] 12:07:33
Or at least give us a competitive advantage or not to fall too far behind.
[David Huppert] 12:07:37
So it’s on us to sort of
[David Huppert] 12:07:40
recognize these threats. I don’t think it’s personal towards public media.
[David Huppert] 12:07:43
I think there are other threats to public media. See Chad’s newsletter from today that it speaks very directly to what’s happening in the world.
[David Huppert] 12:07:51
But as far as AI goes, we need to make sure that we’re doing smart.
[David Huppert] 12:07:57
responsible, proactive things to embrace this tech before we get consumed by it.
[David Huppert] 12:08:02
I don’t mean to blow it out of proportion, but that’s why we’re gathered today so that we can lean on smart people in the system to
[David Huppert] 12:08:07
help shed a light on what they’re doing. And then we can borrow those ideas and hopefully work together to maintain this
[David Huppert] 12:08:13
really essential service of public media so
[David Huppert] 12:08:16
Without further ado, that’s my spiel today. I’d like to turn it over to our friends in education.
[David Huppert] 12:08:23
Laura Evans from Georgia Public Broadcasting and Arionna Ralleigh from 9 PBS to talk about how
[David Huppert] 12:08:31
AI and education come together
[David Huppert] 12:08:34
And they’re going to have about 10 minutes, please populate the chat.
[David Huppert] 12:08:38
And we’ll sort of try to answer questions if time permits within this 10 minutes. If not, we’ll try to get to it towards the end.
[David Huppert] 12:08:45
So Arionna and Laura, thank you so much. Please take it away.
[Laura Evans] 12:08:49
Thank you, David. And hi, everybody. It’s good to see a lot of familiar faces. I’m Laura Evans, VP of Education at Georgia Public Broadcasting.
[Laura Evans] 12:08:59
And I’m on the Education PLC with Arionna. And I think I saw
[Laura Evans] 12:09:05
Kathy Cook’s in here. She’s our chair this year and a couple others and Lindsay Fote, who kind of heads us up on the NETA side.
[Laura Evans] 12:09:14
So it’s good to see you all. I will preface this with I am no expert in AI. I’m just looking at this through the lens of what are the implications for education.
[Laura Evans] 12:09:27
How do we support educators, a lot of whom are also mystified by AI and are trying and struggling with grappling with some of the same concerns that we all have.
[Laura Evans] 12:09:39
So I was just going to start off with kind of uh
[Laura Evans] 12:09:44
where we are in education, the implications, but also some of the pitfalls that we’re seeing with AI, and then talk through a little bit about what we’re doing at GPB on the AI side. And Arionna, jump in whenever and
[Laura Evans] 12:10:00
feel free to contribute. I’m going to share
[Laura Evans] 12:10:03
my slides. I just have three. I’ll be really quick. Can everybody see that? See my slides?
[Laura Evans] 12:10:08
Okay, cool. So I just wanted to start with kind of what are the implications and what are the possibilities in education
[Arionna Ralleigh] 12:10:09
Yes.
[Laura Evans] 12:10:19
And I think the biggest one that we’re seeing and the biggest thing that gets
[Laura Evans] 12:10:25
educators excited is the idea of more personalized learning for students.
[Laura Evans] 12:10:30
you know those of you who are in education or know educators know that most teachers have a room of 30 to 35 students at this point. And it is very challenging for educators to personalize the learning experience for that many students. And I think that’s something that excites all of us in education is this idea that
[Laura Evans] 12:10:51
AI is going to allow more differentiation and more personalized learning in that space.
[Laura Evans] 12:10:58
Which, you know, it can help analyze student data to create those personal learning study plans and tutoring or special learning experiences.
[Laura Evans] 12:11:09
Just to help improve student learning outcomes.
[Laura Evans] 12:11:12
I think it’s also exciting to think for teachers to think about a more streamlined teaching experience to help them make better decisions.
[Laura Evans] 12:11:21
AI can automate some of the more mundane administrative tasks that educators are up against, freeing them to focus on more personalized learning.
[Laura Evans] 12:11:31
I think AI also has the opportunity to really enhance the learning experience for students, creating better curriculum and enhanced engagement.
[Laura Evans] 12:11:43
We’ve seen a lot of different tools out there that provide
[Laura Evans] 12:11:48
more engaging and more customized learning experience like, you know, Magic School is one that we’re seeing teachers use more and more.
[Laura Evans] 12:11:56
that helps them create really dynamic lesson plans and curriculum.
[Laura Evans] 12:12:02
And then, you know, all of that in a perfect world would lead to better student outcomes. And that’s the hope is that all of these AI tools, as we continue to
[Laura Evans] 12:12:13
refine what is good in education with artificial intelligence and what is bad and using some of the good things
[Laura Evans] 12:12:21
hopefully will improve student learning outcomes and bridge the gap between students who are getting access to really high quality educational experience and those who are not.
[Laura Evans] 12:12:34
You know, those are some of the things that I think everybody in education, this is what we’re all thinking about. And I think this is what gets the education community excited is better assessment, more personalized learning, and hopefully better improved student outcomes.
[Laura Evans] 12:12:50
But with that, there’s a lot of, you know.
[Laura Evans] 12:12:54
concerns around AI and education
[Laura Evans] 12:12:58
bias and equity is a big concern.
[Laura Evans] 12:13:01
You know, how do we address disparities across demographics and ensure accessibility to all these wonderful magical tools?
[Laura Evans] 12:13:11
There’s privacy concerns. Of course, all of you are grappling with privacy concerns with AI. I’m sure others on this call will talk about some of those concerns.
[Laura Evans] 12:13:21
You know, is it accurate? How do we solve the inaccuracy problem with some of it and make sure that students are understanding about, you know.
[Laura Evans] 12:13:30
how it should be used and what makes accurate content.
[Laura Evans] 12:13:34
Taking away the human interaction is dangerous in the education setting because a lot of students need those social skills. So if we continue to erode that human component, what does that mean for students and social and their social well-being?
[Laura Evans] 12:13:48
And then the critical thinking component, that’s another big one. We don’t want AI to do the work for students when they should be learning and gaining skills in the classroom.
[Laura Evans] 12:14:01
I think these are, you know, the big, the big challenges with AI as we look at
[Laura Evans] 12:14:08
how it’s going to become more and more infused into our schools and in our educational institutions.
[Laura Evans] 12:14:16
Arianna, anything you want to add?
[Arionna Ralleigh] 12:14:19
Yeah, some of the things that we’re seeing positive
[Arionna Ralleigh] 12:14:25
And some concerns that we have. One of the positives is AI gives a chance for school districts that do not have
[Arionna Ralleigh] 12:14:31
have a ton of funding for professional development for teachers to be able to learn
[Arionna Ralleigh] 12:14:36
And have a thought partner
[Arionna Ralleigh] 12:14:39
on some challenges, some behaviors, some other social emotional learning.
[Arionna Ralleigh] 12:14:44
to walk through that for some classroom management.
[Arionna Ralleigh] 12:14:47
There are a lot of schools that professional development budget has been sliced.
[Arionna Ralleigh] 12:14:54
On the opposite flip side of that, the potential risk
[Arionna Ralleigh] 12:14:57
is having one view of that professional development only having
[Arionna Ralleigh] 12:15:02
that one-sided back to the biases.
[Arionna Ralleigh] 12:15:07
We also have
[Arionna Ralleigh] 12:15:09
A lot of teachers being really concerned of kids being able to do those transfer skills.
[Arionna Ralleigh] 12:15:14
If they’re using AI as the main support.
[Arionna Ralleigh] 12:15:18
And what does it look like when you’re you
[Arionna Ralleigh] 12:15:22
needing to do the real life application side of
[Arionna Ralleigh] 12:15:25
any type of skill.
[Laura Evans] 12:15:29
Okay.
[Laura Evans] 12:15:31
David, I can’t see the chat, so let me know if there’s any questions or comments or anything.
[David Huppert] 12:15:35
Yeah, you’re good. You’re good. We got about three more minutes for you all. So thanks. This is great so far.
[Laura Evans] 12:15:39
Okay, so I was just going to end on like, how is GPB addressing um
[David Huppert] 12:15:40
Thank you
[Laura Evans] 12:15:45
One thing that we are doing just across the organization is we formed a new AI committee
[Laura Evans] 12:15:50
And that’s comprised of staff from all divisions that volunteered to be a part of our new formed committee. And we just come together periodically. We’re just getting started and we’re just kind of figuring out what the committee’s role is going to be. But right now.
[Laura Evans] 12:16:09
The main thing that we’re doing is just coming together and reviewing
[Laura Evans] 12:16:13
you know talking about the latest that’s out there, evaluating tools and resources
[Laura Evans] 12:16:20
And, you know, having discourse over what’s good, what’s bad, what’s ugly, and then making recommendations to leadership on how to move the organization forward in a thoughtful way around AI. I know everybody’s grappling with it and this is just something that
[Laura Evans] 12:16:41
we felt like was important to have an internal committee that was focused on this. And then on the education side.
[Laura Evans] 12:16:47
My team, you know, what kind of how we’re addressing right now is just listening to educators, partners, and experts and
[Laura Evans] 12:16:57
It’s a dynamic, fluid, changing everyday type of situation. So just really staying up to date on what’s out there. What are educators talking about? What are our partner organizations? How are they handling
[Laura Evans] 12:17:10
and addressing AI. We are providing some professional learning to support educators, mainly as we evaluate educational tools and find that they’re solid and can really be support for educators training them on certain tools that we found to be helpful.
[Laura Evans] 12:17:30
And then on my team, you know, we’re using some of those tools and resources that streamline workflows
[Laura Evans] 12:17:36
One that we use almost every day is Opus AI to help with video editing and it helps us
[Laura Evans] 12:17:44
You know, just streamline using content for social media and finding those, you know, two or three minute clips out of a 30 minute show that really make the most impact on our social media platforms.
[Laura Evans] 12:17:57
And finding tools that don’t raise concerns around privacy and inaccuracy.
[Laura Evans] 12:18:02
One thing I do just want to note is that
[Laura Evans] 12:18:06
One of the ways that I see a really big opportunity for us in content production is on the translation services side. And that’s one thing that excites me is we’re always getting asked like we need multiple translations of all this stuff into very, especially like the top five
[Laura Evans] 12:18:23
languages in our state. And so far we have not been able to do that just because it’s cost prohibitive. But there are a lot of tools that we’re looking into right now that are going to be able to provide really solid translations on video content and audio content that will help us fill that gap that we’re missing with our content translation services.
[Laura Evans] 12:18:45
Exciting things to come. I know everybody else on this call has a lot more to share.
[David Huppert] 12:18:51
That is great.
[David Huppert] 12:18:54
right on to the second. Thank you, Laura. A couple of things came through in the chat. One, if you don’t mind putting down the name of that tool that you were mentioning that you use for the editing to pull the select clips that you said to identify those.
[David Huppert] 12:19:07
Some folks wanted to know about that. Opus AI, thank you so much.
[David Huppert] 12:19:11
Another question was about GPB’s AI policy. I know that we’re going to get to that other station. Suzanne’s going to share some other stations examples of these policies. We have a bunch of those resources.
[David Huppert] 12:19:26
If you want to weigh in on GPB’s take on that specifically, please do in the chat.
[David Huppert] 12:19:31
I forget who asked that. Stick around because we’re going to be getting to those other examples and sharing those examples later on in this webinar from other stations.
[David Huppert] 12:19:39
Which are all, by the way, derivative of other stations work in this space. So it seems like there’s like
[David Huppert] 12:19:46
one master one that’s going around that Chad helped to sort of co-author and then other stations have interpreted that based on their unique needs and what’s going on at their station.
[David Huppert] 12:19:54
the more the merrier that these things circulate.
[David Huppert] 12:19:58
And then…
[David Huppert] 12:20:00
Arionna, if you don’t mind in the chat, just articulating a little bit more about what you meant with that professional development and AI and how those two things can come together.
[David Huppert] 12:20:07
And then maybe that conversation, if it’s helpful for others, can continue there. And if it’s more appropriate to like
[David Huppert] 12:20:13
Sidebar that for another time, please.
[David Huppert] 12:20:16
Connect. This is great. This is what we’re hoping to do.
[David Huppert] 12:20:20
So cool. Thank you. Education. Yay. AI. And thank you for being honest and open about like.
[David Huppert] 12:20:25
We are all trying to learn in real time the best ways to apply these things. So thank you.
[David Huppert] 12:20:31
And now everyone’s favorite topic, cybersecurity.
[David Huppert] 12:20:35
And this is just…
[David Huppert] 12:20:38
The audience has spoken. They want to know what they should be doing, not just the threat to, you know.
[David Huppert] 12:20:45
youth and their ability to think independently, but also like what are our systems? What threats exist that we don’t even see behind firewalls or not behind firewalls or what should we be considering with AI in terms of like
[David Huppert] 12:20:59
hardware software ecosystem that will then inform the rest of the stuff that we’re talking about. So we are fortunate to have Ian MacSpadden, Chief Technology Officer from Arizona Public Media.
[David Huppert] 12:21:09
an expert and a leader in this space to share with us some of the
[David Huppert] 12:21:14
Hardware, software.
[David Huppert] 12:21:15
ethical threats about AI and things that we should be mindful of. There’s a resource that Ian has already shared with us that we’ll have in
[David Huppert] 12:21:23
a link next to the webinar on our site that you can download and reference for later use as well.
[David Huppert] 12:21:29
So Ian, if you don’t mind.
[David Huppert] 12:21:33
Lift our spirits. Tell us it’s all going to be okay. Tell us that the water is warm, nothing to be afraid of. No.
[David Huppert] 12:21:39
No, just level with us. Tell us what’s going on in your world with cybersecurity and AI.
[Ian MacSpadden] 12:21:43
Sure. I always remain optimistic. I’ve always had an interest in cybersecurity from my earliest
[Ian MacSpadden] 12:21:49
high school computer club days where one of my classmates who went off to college was one of the first to hack
[Ian MacSpadden] 12:21:54
a university system to change grades.
[Ian MacSpadden] 12:21:55
you know, it was eye opening in finding out that someone with the tools and knowledge and proclivity, what they were capable of.
[Ian MacSpadden] 12:22:03
And today, working at a university station on a physical network with thousands of engineering students who have
[Ian MacSpadden] 12:22:09
tools that they are practicing with. It definitely changes the game.
[Ian MacSpadden] 12:22:14
You know, when new technologies arrive in media, folks tend to ask themselves, what does this mean to me or for me?
[Ian MacSpadden] 12:22:20
You know, like what is next generation TV and do we need it? You know, what is a VR set and is it more productive than a hard set?
[Ian MacSpadden] 12:22:27
In the case of AI for cybersecurity, there are some huge implications. All the vectors or avenues
[Ian MacSpadden] 12:22:35
that threat actors, the bad guys, use have basically been supercharged.
[Ian MacSpadden] 12:22:41
Here are some of the threats and concerns that worry me the most and why
[Ian MacSpadden] 12:22:46
having an evolving cyber policy and training program at your organization is key to protecting your systems.
[Ian MacSpadden] 12:22:53
In an increasing adversarial internet connected environment.
[Ian MacSpadden] 12:22:58
Automated phishing attacks and social engineering.
[Ian MacSpadden] 12:23:01
So AI, in the same way as it helps create things that you weren’t
[Ian MacSpadden] 12:23:06
aware of visually or aggregate data and pull the machine learning aspect out of that.
[Ian MacSpadden] 12:23:11
These tools can be used to supercharge things that people are currently doing.
[Ian MacSpadden] 12:23:16
So AI-powered fishing, where attackers use AI to craft highly personalized phishing emails and messages
[Ian MacSpadden] 12:23:22
The Analyzing Victims Online Behavior, Their Interest, and communications increases the likelihood that users will fall for these.
[Ian MacSpadden] 12:23:29
Many of you saw the early Nigerian prints emails that came out that people looked at and or ones from
[Ian MacSpadden] 12:23:35
Overseas, it had misspellings and formatting.
[Ian MacSpadden] 12:23:38
AI will put together proper grammar, great graphics and
[Ian MacSpadden] 12:23:43
detailed information. You’re probably even seeing these
[Ian MacSpadden] 12:23:45
from salespeople nowadays where they seem to like know you, who you are and what you’ve done in your career, because they’re using AI
[Ian MacSpadden] 12:23:52
to aggregate information and target specific things for you.
[Ian MacSpadden] 12:23:57
voice cloning and deepfakes, AI generated voices and video deepfakes can impersonate individuals convincingly, you know, leading
[Ian MacSpadden] 12:24:05
the social engineering attacks such as emails or voicemails from your CEO or your CFO asking for things, things that you really need to be aware of.
[Ian MacSpadden] 12:24:15
You know, malware creation and evasion. AI is now being used
[Ian MacSpadden] 12:24:19
to not just generate code, but to generate malware code. So basically, you know, they’re using these tools, the bad actors.
[Ian MacSpadden] 12:24:27
to use machine learning to say, okay, what’s the best malware? How do we improve malware?
[Ian MacSpadden] 12:24:33
And even scarier, polymorphic malware.
[Ian MacSpadden] 12:24:36
They’re actually writing malware now that can adapt itself.
[Ian MacSpadden] 12:24:40
two AI searches for malware. It’s an arms race. It’s technology versus technology sometimes.
[Ian MacSpadden] 12:24:48
You know, AI-powered vulnerability exploitation um
[Ian MacSpadden] 12:24:52
you know this is where you get automated vulnerability discovery, where AI can be used to scan systems known for vulnerabilities at scale
[Ian MacSpadden] 12:25:00
enabling attackers to discover and exploit weaknesses much faster.
[Ian MacSpadden] 12:25:06
a zero day exploits. AI, again, because it can do the work of 100 or a thousand people at the same time.
[Ian MacSpadden] 12:25:14
it’s no longer one guy sitting behind a keyboard analyzing things. It’s a machine going out there and doing that work for them.
[Ian MacSpadden] 12:25:22
In the same way that we want to employ
[Ian MacSpadden] 12:25:25
machines and technology and software to
[Ian MacSpadden] 12:25:27
be more efficient on our end, whether it’s creating content, whether it’s distributing things, whether it’s
[Ian MacSpadden] 12:25:32
creating multiple language content.
[Ian MacSpadden] 12:25:36
bad actors are using the same skill sets and same tools to increase their ability
[Ian MacSpadden] 12:25:42
to penetrate your systems.
[Ian MacSpadden] 12:25:47
AI-powered botnets and autonomous attacks. Again, it’s one of these things where
[Ian MacSpadden] 12:25:52
A botnet is basically or had been traditionally a system of remote computers that a bad actor had access to that could
[Ian MacSpadden] 12:26:00
you know do a denial of service attack on your video stream for your live event or shut down your website by too many requests.
[Ian MacSpadden] 12:26:08
you know, nowadays, not only is it just a single person, but they can automate the process. Again, kind of automation is a big theme in this where the machines
[Ian MacSpadden] 12:26:15
can do multiple tasks at the same time versus what an individual could do.
[Ian MacSpadden] 12:26:20
You know, it can be that much more challenging to try to push back against.
[Ian MacSpadden] 12:26:26
You know, and
[Ian MacSpadden] 12:26:28
weaponizing AI specifically against your defenses. Most of you, whether you’re a university station or even a small one.
[Ian MacSpadden] 12:26:34
have a firewall, have certain things in place that are there to help protect your content.
[Ian MacSpadden] 12:26:40
your membership data, your credit card information, your donor lists, all those important things.
[Ian MacSpadden] 12:26:47
to the station, you know, and if you have an AI system and a bad actor, and I bring this up because
[Ian MacSpadden] 12:26:54
you’re seeing hospitals, utilities.
[Ian MacSpadden] 12:26:58
churches, I mean, lots of different targets, you know, public media
[Ian MacSpadden] 12:27:01
can and I think always will be a target. Even though we’re out there doing good for our community, those are those in the community that might not agree with what we’re doing for our communities and may see us as a target.
[Ian MacSpadden] 12:27:14
either for maliciousness because they don’t like what we’re doing or for profit.
[Ian MacSpadden] 12:27:18
You know, the fact that they’re holding schools and other small organizations hostage for ransomware saying, oh.
[Ian MacSpadden] 12:27:25
You’re not going to get your donor list back unless you pay me.
[Ian MacSpadden] 12:27:28
These are scary things that can happen and there are tools and procedures. Again, you know, having stations
[Ian MacSpadden] 12:27:34
Think about cybersecurity, having your IT and your leadership teams having those difficult discussions on
[Ian MacSpadden] 12:27:41
what are we going to invest, whether it’s
[Ian MacSpadden] 12:27:43
dollars, whether it’s time, whether it’s just, you know, developing policies are important
[Ian MacSpadden] 12:27:49
in today’s modern age.
[David Huppert] 12:27:51
Hey, Ian.
[Ian MacSpadden] 12:27:51
Yep.
[David Huppert] 12:27:52
I’m going to jump in for a quick second here, moderator privileges. We got like three minutes left for you, but I’m curious.
[Ian MacSpadden] 12:27:57
Sure.
[David Huppert] 12:27:59
A lot of what you’re mentioning seems like practical, sound advice, and I hope that
[David Huppert] 12:28:06
technology officers at every station is thinking about this as thoughtfully as you are.
[David Huppert] 12:28:11
Is there anything that
[David Huppert] 12:28:13
Those of us that do not spend our time worrying about protecting others on the back end should be doing to make sure that we don’t inadvertently
[David Huppert] 12:28:21
Leave the door wide open.
[Ian MacSpadden] 12:28:24
you know, it’s the simple stuff. And again, I think if most stations have a cyber policy or some kind of cyber education.
[Ian MacSpadden] 12:28:31
You may have already heard this, but it’s as simple as, oh, I found a thumb drive in the parking lot. I wonder what’s on it.
[Ian MacSpadden] 12:28:37
Don’t plug that into your work laptop. You don’t know what’s on it.
[Ian MacSpadden] 12:28:41
You know, for content creators
[Ian MacSpadden] 12:28:43
Sometimes you get content via FTP or someone sends you a hard drive. You should never just plug your hard drive directly into your editor.
[Ian MacSpadden] 12:28:51
you should have a computer somewhere where you can plug it into, scan it for viruses or malware.
[Ian MacSpadden] 12:28:56
And make sure that it’s clean before you plug it into your edit system.
[Ian MacSpadden] 12:29:00
You know, we have been used to in the past so freely accessing content for creation and distribution
[Ian MacSpadden] 12:29:06
that the idea of some of these procedures seem draconian
[Ian MacSpadden] 12:29:11
you know, when I worked at the DoD, they actually disable all USB ports on computers so you can’t
[Ian MacSpadden] 12:29:17
plug a hard drive or a thumb drive in. They don’t want an Edward Snowden taking things off the system.
[Ian MacSpadden] 12:29:22
You know, so it’s one of those things where it’s stuff that you wouldn’t think is dangerous. One of our information security officers at university on a call this morning said.
[David Huppert] 12:29:23
Hmm.
[Ian MacSpadden] 12:29:31
He got an email.
[Ian MacSpadden] 12:29:33
from internal, someone’s email account had been hacked in HR that basically was saying, here are your benefits for the year. It’s open benefits enrollment time. So he’s like, oh, great.
[David Huppert] 12:29:42
Yeah.
[Ian MacSpadden] 12:29:43
And it’s one of those things where he was like, he opened it and he saw links and he goes, they shouldn’t be links inside a PDF.
[Ian MacSpadden] 12:29:50
He scanned it, saw that they were bad, you know, and kind of let the ecosystem know but
[David Huppert] 12:29:53
Oh, wow.
[David Huppert] 12:29:54
I’m going to ask a follow-up question that I’m not sure I want to know the answer to, so I might cover my ears depending on where you go with this. But how concerned should we be with
[Ian MacSpadden] 12:29:56
you know.
[David Huppert] 12:30:05
using like chat clients like ChatGPT and doing a simple query? Are we…
[David Huppert] 12:30:11
Should we be concerned about privacy data? Is there a way that they can get into our systems that way? I mean, what are some
[David Huppert] 12:30:19
cautionary things that we should be cautious about with that. I totally hear you on the
[David Huppert] 12:30:23
plugging hardware into ports
[David Huppert] 12:30:26
I can’t say that I always follow that advice, but that’s duly noted. But what about some of the software applications that we seem to use so freely these days or easily?
[Ian MacSpadden] 12:30:35
Well, yeah, you know, and those are cloud-based systems, so they’re not coming into your system to get stuff, but it’s what you put into theirs.
[Ian MacSpadden] 12:30:42
you know you you want to do a graphic of somebody or I’ve done this before where I put my face in there to do
[Ian MacSpadden] 12:30:50
a rendering of something that I’d like to see myself in.
[Ian MacSpadden] 12:30:53
you’re giving biometric data.
[Ian MacSpadden] 12:30:55
So again, anytime you put content into a
[Ian MacSpadden] 12:31:00
AI system, they now have a copy of that and they’re using that for their learning. This has been a big thing about the internet where early AI models scrape the internet for artistic information.
[David Huppert] 12:31:08
Yeah.
[Ian MacSpadden] 12:31:10
If you put a graphic, an image, an idea, a concept in there for a render or for
[Ian MacSpadden] 12:31:17
an evaluation, that data is shared basically. So always be cautious if it’s not
[Ian MacSpadden] 12:31:22
your own internal AI system
[Ian MacSpadden] 12:31:24
And it’s a publicly accessed AI system. Anything you put in there is now public domain.
[David Huppert] 12:31:30
Great. Well…
[David Huppert] 12:31:32
On that note, thank you for those words of wisdom and cautionary
[David Huppert] 12:31:37
sort of protocols to pay attention to. For those of you on this webinar.
[David Huppert] 12:31:43
you have a chief technology officer that does not know Ian, make that intro. The more that these conversations are happening across the system, the better safeguards we’ll all have and hopefully best practices will permeate
[David Huppert] 12:31:53
So thank you, Ian, for outlining that. As we mentioned, some of these resources and things that he’s mentioned are going to be available on our resource, sorry, on the webinar page where you will access this webinar as well as some of the resources
[David Huppert] 12:32:06
that the speakers are talking about.
[David Huppert] 12:32:08
Check that out over there. Ian put his email in there. Awesome. Thank you so much for that.
[David Huppert] 12:32:16
Okay, three more topics to get through today. Community engagement.
[David Huppert] 12:32:21
MarComm and content. This has been really interesting and thank you to all the panelists so far that are contributing all these great
[David Huppert] 12:32:29
ideas and best practices, community engagement, Amy Labenski from WETA, from WIDA, is going to walk us through
[David Huppert] 12:32:39
Some of, well, as you can see on your screen, yay, it’s working. Public media stations can help local communities understand and use it responsibly, AI. So thank you, Amy, for spending some time with us and walking us through your take on community engagement.
[David Huppert] 12:32:53
Take it away.
[Amy Labenski] 12:32:54
All right. Hi, everybody.
[Amy Labenski] 12:32:57
So, um.
[Amy Labenski] 12:32:58
You might be asking why us? To me, this is a no-brainer. PBS stations are trusted for providing factual information, bringing people together through community engagement.
[Amy Labenski] 12:33:07
And providing a safe, accessible, and inclusive place for education, exploration, and entertainment.
[Amy Labenski] 12:33:12
So for our audiences and local communities, we are truly a key driver in ensuring that AI benefits society while also minimizing its potential harms from bad actors.
[Amy Labenski] 12:33:25
So I thought I’d start with just a few statistics that I found to get us going. I don’t think much of this will be a surprise to anyone.
[Amy Labenski] 12:33:34
But maybe it is. There’s plenty of data out there. But these sort of just jumped out at me that related to what we’re going to talk about a little bit today.
[Amy Labenski] 12:33:43
So according to a 2023 study from the Pew Research Center, a little over half of Americans are more concerned about AI than they are excited about it.
[Amy Labenski] 12:33:52
health misinformation tracking poll conducted earlier this year by Kaiser Family Foundation.
[Amy Labenski] 12:33:58
found that 56% of adults are not confident about the information they receive from AI chatbots. I could say that I am one of them. And 70% of respondents
[Amy Labenski] 12:34:10
do a 2023 global study led by Poynter and conducted in partnership with MediaWise, Morning Consult, and Google.
[Amy Labenski] 12:34:17
said that they were not confident in their ability to tell when an online image was authentic or generated by artificial intelligence.
[Amy Labenski] 12:34:28
So what can we do about that as public media?
[Amy Labenski] 12:34:32
We can build on our reputation of being the most trusted institution for 18 consecutive years. I know that we hear that all the time, but
[Amy Labenski] 12:34:40
people really do trust public media. They trust PBS.
[Amy Labenski] 12:34:44
The distrust and lack of confidence in AI is because most people simply don’t understand how it really works. Some people think they do. But really.
[Amy Labenski] 12:34:54
from things that I’ve been learning in preparation for this and from what I’ve been seeing, people don’t really understand how it affects their daily lives.
[Amy Labenski] 12:35:02
But the trust we have in public media
[Amy Labenski] 12:35:06
stations, but the trust we have in media public media stations means we are looked to for unbiased fact-based content.
[Amy Labenski] 12:35:12
So we have the opportunity to build upon that trust and provide clear, accurate information about the AI systems being developed and deployed for everyday life.
[Amy Labenski] 12:35:22
And we can do what we do best and educate people about this new technology. We can help them know who to trust and where to go by highlighting companies and organizations that are leading the way in ethical AI development.
[Amy Labenski] 12:35:35
And showcasing those who are committed to a few things like fairness.
[Amy Labenski] 12:35:40
Oops, thanks.
[Amy Labenski] 12:35:43
I knew I was going to do that. Fairness.
[Amy Labenski] 12:35:45
Accountability, transparency, privacy
[Amy Labenski] 12:35:50
human oversight and safety.
[Amy Labenski] 12:35:56
People get us. We are really good at talking to the little kids, lifetime learners, and older grownups. Public media makes it all make sense for every generation. So we can raise awareness and make AI more accessible by explaining what it is in basic, simple terms with clear, non-technical jargon.
[Amy Labenski] 12:36:14
We have platforms we can leverage to create easy to understand content that demystifies AI and helps break it down into digestible pieces through news coverage, public affairs programming.
[Amy Labenski] 12:36:25
explainers, interstitials, mini documentaries, podcasts, virtual conversations, and interactive games and quizzes. We all do that really well.
[Amy Labenski] 12:36:34
I get to see it every day across the system.
[Amy Labenski] 12:36:37
By making AI more accessible to people, we have the ability to empower individuals to understand the things they interact with regularly.
[Amy Labenski] 12:36:45
I think that most people
[Amy Labenski] 12:36:48
accept the recommendations that they’re presented on.
[Amy Labenski] 12:36:52
streaming services with, but they don’t really understand how it works.
[Amy Labenski] 12:36:57
And do high school seniors really understand how algorithms may
[Amy Labenski] 12:37:02
decide whether they get into the college of their choice
[Amy Labenski] 12:37:05
or if they qualify for that much needed student loan
[Amy Labenski] 12:37:09
our smartphones and Alexa really listening to everything we say so that they can help us better? And what really drives news feeds on our social media platforms.
[Amy Labenski] 12:37:25
So the thing about public media is that we don’t just stop at the how.
[Amy Labenski] 12:37:29
We also understand the why, and we are great at promoting digital literacy and critical thinking with deep dive content and high standards. It’s what we do and it’s who we are.
[Amy Labenski] 12:37:39
We can continue to put these virtues to good use by helping people in our communities to discern between the different uses of AI.
[Amy Labenski] 12:37:46
a yummy cookie recipe is an algorithm, while a recommendation on a streaming service like Netflix is machine learning.
[Amy Labenski] 12:37:53
And to help people know the difference, we can collaborate with local and national organizations
[Amy Labenski] 12:37:58
to share information and partner with colleges and universities to offer community training programs.
[Amy Labenski] 12:38:04
We can teach people how to critically evaluate AI, what makes
[Amy Labenski] 12:38:08
Sorry. What affects them directly and why it matters.
[Amy Labenski] 12:38:13
So what is algorithmic bias and how can it affect hiring practices?
[Amy Labenski] 12:38:19
What are the ethical and social ramifications of AI?
[Amy Labenski] 12:38:22
what are the ethics of AI and surveillance and how can facial recognition raise concerns about privacy?
[Amy Labenski] 12:38:27
And what is machine learning and how can it perpetuate bias in training data?
[Amy Labenski] 12:38:34
And then finally, one of my favorite things we say on my team is that when asked what public media brings to the table, we say we bring the table. And I’ll just say that Chloe Kuchas on my team and I stole that.
[Amy Labenski] 12:38:44
From Chris Trica at WNET years ago and it never gets old. So if Chris is on this call, I just want to say thank you. And if anyone else from NET is on this call, pass it along to him.
[Amy Labenski] 12:38:54
Anyway, public media can engage local communities in the process of shaping how AI is used in their lives, making them active participants in the conversation, not just passive consumers.
[Amy Labenski] 12:39:05
We can ensure that the development of AI reflects the values and priorities of the people we share space with in our local communities.
[Amy Labenski] 12:39:12
community engagement can be used to identify community specific concerns like the impact of AI on local economies.
[Amy Labenski] 12:39:19
job markets and schools.
[Amy Labenski] 12:39:21
By engaging our communities, we can nurture a sense of ownership and responsibility when it comes to AI technologies by empowering people to advocate for what they want and need.
[Amy Labenski] 12:39:31
And engagement provides a platform for people to learn, ask questions, and voice their concerns.
[Amy Labenski] 12:39:36
We can do all of this through the things we are so good at doing already, like town halls.
[Amy Labenski] 12:39:41
panel discussions, virtual forums
[Amy Labenski] 12:39:45
roundtables, resource fairs, and workshops.
[Amy Labenski] 12:39:51
So in summary, and I’ll shut up and let somebody else talk in a minute, AI is already part of our lives. We all know this. It informs what we watch. If we can afford that new car, whether we need to follow up a doctor’s appointment, and how we can train our brain to meditate for three minutes a day.
[Amy Labenski] 12:40:06
But it’s not just about the technology, it’s about people.
[Amy Labenski] 12:40:10
We as public media have a responsibility to ensure that the people in our communities are informed about the potential benefits and harms of AI and not absent from decisions about how these technologies are created and used.
[Amy Labenski] 12:40:23
But real quick, and I am finished, but before I go, I’m not going to go through these slides, but I put together a really quick glossary of what is AI.
[Amy Labenski] 12:40:33
Just a couple of the top level things here. And then these all be in the recording and the archive afterwards, but some organizations that
[Amy Labenski] 12:40:43
are great to learn a little bit more about AI, specifically in the community engagement and civic engagement space.
[Amy Labenski] 12:40:50
And then other further reading, if anyone’s interested. These are all pretty short articles.
[Amy Labenski] 12:40:57
or short pieces online that
[Amy Labenski] 12:40:59
sort of give different insights into how
[Amy Labenski] 12:41:02
both community engagement can help support ai
[Amy Labenski] 12:41:06
And how it can be used in civic and community engagement, but also how we can use
[Amy Labenski] 12:41:11
community of civic engagement to educate the population.
[Amy Labenski] 12:41:15
And that is all I got.
[David Huppert] 12:41:18
That is great, Amy. Thank you. Oh my gosh.
[Amy Labenski] 12:41:20
Thank you.
[David Huppert] 12:41:23
So those resources are great and for everyone, don’t worry, we’ll have that posted with this webinar.
[David Huppert] 12:41:30
And, you know, I was just struck as you were talking about how much of
[David Huppert] 12:41:35
what you were addressing was really could be considered, you know, I guess, media literacy. I guess you can call AI media literacy or not.
[Amy Labenski] 12:41:41
Exactly.
[David Huppert] 12:41:43
And I was reminded of Maryland public television and they just launched the Center for Media Literacy, which is really cool. And I’m not sure, I haven’t done a deep dive on that yet. If anyone else has, I’m not sure if they’re covering AI in as much depth as you were referencing, but
[David Huppert] 12:41:58
To me, it’s similar, you know, and that is our role for all the reasons you mentioned. We’re trusted and don’t stop at the
[David Huppert] 12:42:06
at the Y, and I love your we are the table. Who said that? Who was the originator of that?
[Amy Labenski] 12:42:12
Chris Shika from WNET, and he i gosh i forget it was at a NETA conference i think the one that
[Amy Labenski] 12:42:19
that was in Crystal City a few years ago, but we were talking to him and he said that and Chloe and I right away both at the same time is like a jinx by you a coke.
[David Huppert] 12:42:21
Yeah.
[Amy Labenski] 12:42:27
We both said we’re going to use that. And we say it all the time. And it’s so perfect. It is what we do. We are conveners. We connect the dots.
[David Huppert] 12:42:30
I know.
[Amy Labenski] 12:42:37
It’s everything we do in community engagement. And it’s not just the community engagement people at stations, it’s everyone. It’s the station community, everyone internally, externally.
[David Huppert] 12:42:42
Sure.
[Amy Labenski] 12:42:46
We all have that job of bringing people together.
[David Huppert] 12:42:46
Yeah.
[David Huppert] 12:42:48
That should be like the PBS logo or something. I mean, it’s really good. Really good. Oh my gosh. I get like chills thinking about that. Okay. Awesome. So thank you for that.
[Amy Labenski] 12:42:51
Right?
[David Huppert] 12:42:58
And yeah, definitely check out the Maryland Center for Media Literacy and Education. Okay, yeah, great.
[David Huppert] 12:43:05
That was live streamed this week and some coworkers watched it at my station and were like, you got to check it out. It’s so awesome. So kudos to Marilyn for doing that. Kudos to Amy for sort of
[David Huppert] 12:43:15
surfacing some of these important issues and how
[David Huppert] 12:43:17
we owe it to our viewers and constituents and members to sort of help them navigate this as we have done forever. And so here we are on a new frontier.
[David Huppert] 12:43:28
Thank you. All right.
[David Huppert] 12:43:30
Now we turn to our friends in MarComm. We’re joined by Jonna Kelley from KSPS in Spokane, Washington, and Morgan Walter.
[David Huppert] 12:43:44
to talk about some ways that MarComm case studies
[David Huppert] 12:43:49
I’ve been utilizing and leveraging AI and their work. There’s plenty of other examples throughout the system of people that have been doing cool things too. So if you want a shout out to stuff that
[David Huppert] 12:43:59
you at your station are doing or things that you’ve seen elsewhere, please throw that in the chat. We’re always looking for good examples to get inspired by.
[David Huppert] 12:44:07
as well. So thank you for joining us. And yeah, let’s hear from MarComm. Thank you.
[Jonna Kelley] 12:44:12
Thanks, David. We’re excited to be here. I’m Jonna. I’m Morgan.
[Jonna Kelley] 12:44:17
And I’m part of the MarComm committee. And so that’s how we’re participating here today.
[Jonna Kelley] 12:44:23
Thanks to the other panelists, we’ve
[Jonna Kelley] 12:44:25
been taking furious notes here in Spokane. So we’re just going to share a little bit about how we use AI in our work here in Spokane at KSPS.
[Jonna Kelley] 12:44:37
So I’ll start by talking about an AI system that we have as a station. It’s a closed system.
[Jonna Kelley] 12:44:46
It’s a type of chat GPT, but we’ve opted in for
[Jonna Kelley] 12:44:52
a multi-user account. So it’s 25 bucks a month. We were able to turn off the setting that controls if we are willing to share this information
[Jonna Kelley] 12:45:02
with everyone. So we toggle that off. So any information that we give to this
[Jonna Kelley] 12:45:09
ChatGPT remains closed and within
[Jonna Kelley] 12:45:13
our station walls. We also upload data frequently.
[Jonna Kelley] 12:45:19
And then update the memory of this chat GPT so that it can help us
[Jonna Kelley] 12:45:25
evaluate strategic ideas. So
[Jonna Kelley] 12:45:29
One example I wanted to share with this group today.
[Jonna Kelley] 12:45:34
So at our station, I don’t know if this is happening with anybody else, but we are…
[Jonna Kelley] 12:45:40
creating a lot of events and we have very limited resources. And so we really have to evaluate if the events that we’re creating or proposing
[Jonna Kelley] 12:45:52
are worthwhile for our station.
[Jonna Kelley] 12:45:55
So a recent
[Jonna Kelley] 12:45:59
event proposal that I wrote is for an upcoming program that we’re going to be airing starting in March
[Jonna Kelley] 12:46:06
And it’s a local production, which is
[Jonna Kelley] 12:46:10
rare for us in Spokane. So I wanted to have a big kickoff
[Jonna Kelley] 12:46:14
kickoff event, but really worried about
[Jonna Kelley] 12:46:18
bandwidth for our station.
[Jonna Kelley] 12:46:19
So I wrote a proposal
[Jonna Kelley] 12:46:21
fed it to our chat GPT and asked specific questions
[Jonna Kelley] 12:46:26
about how this may affect
[Jonna Kelley] 12:46:31
our station and if it was a good idea.
[Jonna Kelley] 12:46:35
So this idea is really leveraging AI as a neutral third party to evaluate
[Jonna Kelley] 12:46:40
ideas.
[Jonna Kelley] 12:46:44
So I knew of two specific um
[Jonna Kelley] 12:46:50
initiatives that development has that I really wanted to help propel with this event. One is a climate initiative
[Jonna Kelley] 12:46:59
And one is growing mid-level membership here at the station so um
[Jonna Kelley] 12:47:04
I fed my event proposal
[Jonna Kelley] 12:47:07
to AI, like I mentioned, and ask those two specific questions. And then AI gave me an answer.
[Jonna Kelley] 12:47:14
It assessed how this event could support these two station initiatives. And then it highlighted opportunities
[Jonna Kelley] 12:47:23
to further integrate programming, fundraising, and community engagement.
[Jonna Kelley] 12:47:32
My key takeaways after…
[Jonna Kelley] 12:47:35
you know, I got this, it was instant, by the way, too. It was like immediately I had the answer. Um.
[Jonna Kelley] 12:47:43
I was able to refine my proposal after I got
[Jonna Kelley] 12:47:48
the feedback from AI to make the event make more sense for our station.
[Jonna Kelley] 12:47:54
And aligned more closely with our goals across programming, fundraising, and community engagement.
[Jonna Kelley] 12:48:04
So any questions about how we use this AI system within our station before we move on to how Morgan uses AI for her work?
[David Huppert] 12:48:15
There are people interested in like, I think that you’ve raised a lot of really cool eyebrows here. People are like, whoa, how can I do that? I think maybe…
[David Huppert] 12:48:24
We don’t have time for it right now, but I think if people want a walkthrough of this, is it possible that maybe you can schedule something like open office hour or something like that where people can drop in and you can just
[David Huppert] 12:48:36
demo this for people because I know I have a lot of questions, but I want to also, by the way, we have like four more minutes for you all before we get to Suzanne.
[Jonna Kelley] 12:48:42
Okay, we’ll burn through it. Yep. Yep.
[David Huppert] 12:48:44
But please put your email in there and then maybe we can follow up with the group because an open office hour about this seems like
[David Huppert] 12:48:52
an excellent sort of thing that I definitely would want to come to.
[Jonna Kelley] 12:48:53
Mm-hmm.
[Jonna Kelley] 12:48:55
I would love that too. Okay, great. We will do that. So…
[David Huppert] 12:48:57
Cool. Awesome. Four minutes. Thanks.
[Jonna Kelley] 12:49:00
Before I move on to my slide, so I just want to piggyback off what Jonna said, but first give a little bit of an introduction into what I do at KSPS.
[Jonna Kelley] 12:49:10
So we have a high school internship program here called Media Makers. And so I run that program and manage that program, build out curriculum and help the students learning.
[Jonna Kelley] 12:49:21
by giving them real world
[Jonna Kelley] 12:49:24
station projects that they can actually work on and build their resumes and continue their learning in this field in a way that they’re actually working.
[Jonna Kelley] 12:49:33
But part of that program is we also have a hybrid kind of remote program out in rural communities for students who can’t come into the station. And so we provide them with
[Jonna Kelley] 12:49:44
work they can do. This is all paid by, by the way.
[Jonna Kelley] 12:49:46
So it’s a paid internship and so
[Jonna Kelley] 12:49:49
Part of my job is to
[Jonna Kelley] 12:49:52
reach out to educators at other schools that might that have video production programs and might want to offer this internship to other students.
[Jonna Kelley] 12:50:02
And so the way that I work on this expansion is by doing just what Jonna said with using our chat GPT
[Jonna Kelley] 12:50:10
to basically give it all the information about our program and ask it to create documents for me, like pitch documents and
[Jonna Kelley] 12:50:20
In introductory emails to educators, and it can even
[Jonna Kelley] 12:50:24
come up with an outreach plan for me so
[Jonna Kelley] 12:50:28
I really like to use it for idea generation. And this goes into
[Jonna Kelley] 12:50:33
what I wanted to talk about, which is just using AI for ideation. So we recently had a project for our students where we asked them to write a script.
[Jonna Kelley] 12:50:42
And we found that most of them were really stuck on, well, I don’t know what to write the script about. And we gave them a lot of
[Jonna Kelley] 12:50:49
okay, it has to take place here at the station, only use two characters.
[Jonna Kelley] 12:50:54
try to focus more on action instead of dialogue, but they were still really stuck on what the plot would be. And so at this point, I was like, okay.
[Jonna Kelley] 12:51:03
You guys are allowed to use ChatGPT to come up with an idea, but you cannot use it to write your script. And the reason I did this was because I wanted them to get past
[Jonna Kelley] 12:51:13
the writer’s block of coming up with the idea in the first place. So that way they could really focus on
[Jonna Kelley] 12:51:20
developing their dialogue, structuring the imagery, and really starting to learn how to write a script because
[Jonna Kelley] 12:51:28
That was the goal of the assignment. So I think that it can be
[Jonna Kelley] 12:51:32
We can all be really scared about you know
[Jonna Kelley] 12:51:35
letting students especially use AI because we want them to learn. But in this case, I was able to use it to
[Jonna Kelley] 12:51:41
remove a barrier to their learning and allow them to get into what the lesson was really about, which is learning the anatomy of a script and how you use it to tell a story.
[Jonna Kelley] 12:51:52
So it actually worked really well. They all came up with ideas and then they were chatting amongst themselves and
[Jonna Kelley] 12:51:59
refining their ideas from there and everyone wrote their own script. So I think it was a good way to remove
[Jonna Kelley] 12:52:04
creative blocks and it’s what I do in my work. So, you know, why not teach them how to use it responsibly as well?
[David Huppert] 12:52:12
That’s awesome.
[David Huppert] 12:52:14
Oh my gosh. Between both of these use cases that you’ve identified, I think we have a whole separate webinar or office hour or as Amber mentioned, maybe a screen recording or something.
[Jonna Kelley] 12:52:25
Wait.
[David Huppert] 12:52:26
Thank you, Morgan. Thank you, Donna, for…
[Jonna Kelley] 12:52:27
Okay.
[David Huppert] 12:52:30
I know that we just barely got to everything, but were you going to add something?
[Jonna Kelley] 12:52:33
Sure. Yes. I just wanted to mention that the screens that you saw today during our presentation were generated by AI.
[David Huppert] 12:52:41
Ah, there it goes.
[David Huppert] 12:52:43
Very cool.
[Jonna Kelley] 12:52:44
Thanks, everybody.
[David Huppert] 12:52:45
Thank you. And…
[David Huppert] 12:52:48
To be discontinued, for sure, along both those fronts. So thank you for all the great work you’re doing in Washington.
[David Huppert] 12:52:53
We’re going to turn it over to Suzanne Smith from WFSU in one second. But before we do, because we’re coming up
[David Huppert] 12:52:59
Towards the end of the hour, and I know some people have to jump off. Suzanne, you’re going to close us out.
[David Huppert] 12:53:04
just want to…
[David Huppert] 12:53:06
Let everyone know that the next webinar, December 12th, will feature
[David Huppert] 12:53:13
Talia from PBS Standards and Practices, Talia Rosen. And so a lot of you are asking like, that’s cool at the station level, but what’s PBS doing about this? And what are like
[David Huppert] 12:53:22
the big overarching sort of guidelines and things that we have to adhere to. So Talia will be here to help answer and address some of those. So feel free to register for that. The link is in the chat.
[David Huppert] 12:53:34
That’s the December 12th.
[David Huppert] 12:53:36
I just wanted to plug that before we wrapped. And Suzanne, I am sorry we have seven minutes for you, not 10. This is my fault. I took too long blabbering between each.
[David Huppert] 12:53:46
panelists because I was just so inspired. But please…
[Suzanne Smith] 12:53:50
It is fine. We will get what we can get done. All right. Hold on.
[David Huppert] 12:53:52
Okay, cool. Thank you.
[Suzanne Smith] 12:53:56
Right. Can y’all see my screen?
[David Huppert] 12:54:01
Yeah, we see you if you wanted to go into presenter mode. Perfect.
[Suzanne Smith] 12:54:03
Okay, so this is a condensed version of what um
[Suzanne Smith] 12:54:06
talking about one of the things I wanted to go over is some best practices for AI policies.
[Suzanne Smith] 12:54:12
Some of these key highlights came from a session that was done at the NIDA conference.
[Suzanne Smith] 12:54:18
at the 2024 one and the full presentation is on the Public Media Learns. Jessica is online right now. Chad’s online. Amber’s online.
[Suzanne Smith] 12:54:28
here with this conversation so you can have some more things and they have provided examples.
[Suzanne Smith] 12:54:36
of their AI policies.
[Suzanne Smith] 12:54:38
One of the things that they kept coming back to, and I think Chad’s the one who said this, was people first, people last.
[Suzanne Smith] 12:54:45
And when you’re working on your
[Suzanne Smith] 12:54:50
keep that mind beginning, middle, end, people first, people last.
[Suzanne Smith] 12:54:54
And the core principles, now this is way summarized down, but
[Suzanne Smith] 12:55:00
You should require human oversight and review of all AI generated content.
[Suzanne Smith] 12:55:05
You should maintain transparency.
[Suzanne Smith] 12:55:07
transparency about ai use
[Suzanne Smith] 12:55:10
Not just in how you’re using it within your station, but how you present that
[Suzanne Smith] 12:55:15
to the public.
[Suzanne Smith] 12:55:17
Use your own station’s ethics and values as guiding principles. Most stations have ethics policies or follow an ethics policy, whether from NPR, PBS.
[Suzanne Smith] 12:55:29
or Society of Professional Journalists, etc.
[Suzanne Smith] 12:55:32
Also, and many people have mentioned this today regarding the AI inputted information that you put into ChatGPT, you almost have to treat it as public data.
[Suzanne Smith] 12:55:43
Now, these are just some four things. And if we had a little more time, I had some more stuff, but I’m going to skip to
[Suzanne Smith] 12:55:49
The documents, if you can put that into the chat, the link so that you guys can all have access to this.
[Suzanne Smith] 12:55:55
In addition to the documents.
[Suzanne Smith] 12:55:57
One of the things that you, a lot of the first steps for finding AI policies that stations have been doing is they’re looking at what other stations are doing and we have some
[Suzanne Smith] 12:56:06
We have a list of links that not only can show you with some
[Suzanne Smith] 12:56:12
guidelines that are being considered with some blog posts, but actual AI policies that can be found online and you can use those in your processes at your station
[Suzanne Smith] 12:56:20
to determine what kind of AI policies you want to have.
[Suzanne Smith] 12:56:25
Getting into some uses of generative AI in content.
[Suzanne Smith] 12:56:32
These are some things I’ve heard about. And if you guys are using AI at your station, I highly encourage you putting that into the chat.
[Suzanne Smith] 12:56:39
One is creating scratch audio narration to help with timing and editing. If you’re editing at home or you’re editing and the person you need to voice is not around.
[Suzanne Smith] 12:56:49
or you don’t have time to set up the microphone in your closet if you’re at home, you can just use a system to
[Suzanne Smith] 12:56:57
help you with that as a scratch narration that you can use later. I know somebody who was using, worked with a lot of new students
[Suzanne Smith] 12:57:06
writers and journalists who they’d have different tenses in their script. And so she would use it to
[Suzanne Smith] 12:57:11
change out the tenses of the script so it’s all matching. It’s already been written.
[Suzanne Smith] 12:57:18
by the intern, but she converts it and then reviews it afterwards.
[Suzanne Smith] 12:57:24
Some people are using it to write short and long descriptions or first draft descriptions for YouTube or social media.
[Suzanne Smith] 12:57:32
There’s also using it to summarize documents or key points.
[Suzanne Smith] 12:57:36
In transcripts.
[Suzanne Smith] 12:57:38
And we also have just at my station just just started, I think we’ve had it for like a week using Opus to help create clips for social media.
[Suzanne Smith] 12:57:46
One of those things that I wanted to show for this creating the scratch audio narration
[Suzanne Smith] 12:57:52
And Amber is the one who turned me on to this. 11labs.io.
[Suzanne Smith] 12:57:57
they have a they have
[Suzanne Smith] 12:57:58
Paid ones as well as free. And this is a free one where you get like 10,000 characters or words a month.
[Suzanne Smith] 12:58:05
that you can use and you type in something
[Suzanne Smith] 12:58:08
And then you can play it. And so this is what
[Suzanne Smith] 12:58:11
In the creation of the 1924 and 1974 cabin replicas.
[Suzanne Smith] 12:58:12
one of the voices that you can choose.
[Suzanne Smith] 12:58:15
Local organizations like the Boy Scouts took care of the construction. In the creation of the construction.
[Suzanne Smith] 12:58:17
I’m not going to play the whole thing there.
[Suzanne Smith] 12:58:21
And then, but if you don’t like the female voice, go with the male voice.
[Suzanne Smith] 12:58:24
In the creation of the 1924 and 1974 cabin replicas.
[Suzanne Smith] 12:58:29
And you download
[Suzanne Smith] 12:58:30
In the creation of…
[Suzanne Smith] 12:58:31
you download that and you get right into, you can put it into your
[Suzanne Smith] 12:58:35
Premiere Pro files, cut it up like you would any other audio
[Suzanne Smith] 12:58:40
You know, make it longer pauses, shorter pauses, but it can help, like I said, if you’re trying to
[Suzanne Smith] 12:58:45
You know, if you don’t want to play it or you just want to change a word, it’s a great way of using it. And you’re not using that as your final
[Suzanne Smith] 12:58:53
project.
[Suzanne Smith] 12:58:55
I wanted to play this video. This was available this summer
[Suzanne Smith] 12:59:00
On the stuff that’s coming to Premiere Pro, and actually a lot of it already is. So I wanted to share this with you. It’s about three minutes long.
[David Huppert] 12:59:07
I don’t know, Suzanne, hold on before you play that. Yeah.
[Suzanne Smith] 12:59:08
We don’t have time. We don’t have time.
[David Huppert] 12:59:10
I don’t think we’re going to have time because we’re right at the top of the hour, but I will put the
[Suzanne Smith] 12:59:13
Okay. Okay. All right. So then…
[David Huppert] 12:59:17
Link.
[Suzanne Smith] 12:59:17
I will share the next thing real quick.
[David Huppert] 12:59:20
Yeah.
[Suzanne Smith] 12:59:20
There is a link that if Amber could share of the things that are available right now.
[Suzanne Smith] 12:59:27
In Premiere Pro 2025 version, if you have that already on your computer, there are things probably you don’t even realize yet. You might have noticed that your transcript
[Suzanne Smith] 12:59:37
And captions are working a lot better than they used to and a lot faster.
[Suzanne Smith] 12:59:40
That’s just part of it. There’s a lot more things like text to
[Suzanne Smith] 12:59:47
text-based editing is in there now.
[Suzanne Smith] 12:59:49
If you need to learn how to use it, there are now videos that will take you through. Their Premier Pro has in-app tutorials.
[Suzanne Smith] 12:59:56
You can search through that. You just go to the help tab.
[Suzanne Smith] 13:00:01
choose Premiere Pro and app tutorial tutorials, select tab search.
[Suzanne Smith] 13:00:05
Type the search topic and then click on the video that you want to learn more about.
[Suzanne Smith] 13:00:09
And that was it.
[David Huppert] 13:00:10
Yeah, that is…
[David Huppert] 13:00:12
Suzanne shared with me that link to the Premier AI tools, the three minute link, which is
[David Huppert] 13:00:20
Thank you, Amber, for posting it. And it’s just going to be a game changer. Oh my gosh. I mean, it used to be such a heavy lift to try to
[David Huppert] 13:00:26
Think about doing that in the video space. Photos was one thing. And then it’s like now everything that you can do in photos is pretty much going to be able to happen in the video space as well.
[David Huppert] 13:00:37
Which is just so cool and so amazing. And I think that the order and the sequence that we did this in terms of
[David Huppert] 13:00:45
being trustworthy, thinking about the audience, all of that rolls into how we use these tools. So we’ll just keep all of that in mind. I know that that’s front and center in your mind, Suzanne, as you’re thinking about how to leverage these tools in our workflows.
[David Huppert] 13:00:56
So thank you for taking such a thoughtful approach to
[Suzanne Smith] 13:00:57
Yeah.
[David Huppert] 13:01:01
exposing us to some of these tools and how to use them.
[David Huppert] 13:01:04
Everyone, that is it. It is two o’clock. Thank you for those of you that joined us. Thank you to the panelists. I know it feels like we barely scratched the surface on all of these topics.
[David Huppert] 13:01:14
And that’s because we did. There’s so much more to talk about.
[David Huppert] 13:01:18
please reach out to the panelists directly if you don’t have access to them or know how to reach them.
[David Huppert] 13:01:23
You can reach out to me or Amber or Chad. We will connect you. That is what we are trying to do is to
[David Huppert] 13:01:29
bring folks together to explore ways that we can partner on all of these cool ideas and make our stations
[David Huppert] 13:01:35
individually and collectively stronger. So appreciate all of you so much for taking time out of your day.
[David Huppert] 13:01:41
Join us next month to hear from Talia from PBS about how this all rolls up into the PBS universe.
[David Huppert] 13:01:48
And go out there, be creative, have fun, break some stuff, disrupt things, report back, let us know.
[David Huppert] 13:01:54
Appreciate you all. Have a great day. Thank you.