I guess it just means you can probably be the first one but I see my brain like see, I like to turn it on my boy like very well
to hear you there's a lot of people It's a weird thing to contribute, and it's no because it's always awkward and somehow they see you Oh, have you been that Yeah
Where are you from Are
you In most cases, when you ask it the same question over and over, you're gonna get different responses. And this is the nature of the technology. You also can't control for error at the moment. The So, for if you're thinking about using generative AI in your newsroom process to this high risk and to write fresh stories, I would recommend you think extremely carefully to see if it fits your risk. Tolerance. We know these systems make errors. So when they do make those errors, it risks our core value, which is credibility. And if you read the opening session, you heard you heard about that as well. It's called credibility is the currency of journalism. And so using technologies as high risk AI, it is very much use at your own risk. And so for most newsrooms, I would recommend that you don't use that for complete production. purposes, but rather, certainly for experimentation, you can do that. That's go over just AI use by large news organizations. Oh, A predictable form of AI we know when we put something in we know generally what is going to come out. I will point out something very, very important is that at the end of the stories, these automated stories we include that disclosure. AP is very upfront about disclosing exactly which vendor we're using to accomplish this and and how the data was provided in these in this product is available to AP members and customers. And a different use of AI also dating to 2014. Is comment moderation on digital platforms. So this is a screenshot from the coral project.
And that's it you know and something I've been telling people is you know it's okay to take risks you know and something that I've been really helping newsrooms with has to figure out how do we take low risks you know to start so that we're not doing something that will undermine their credibility and
have to adapt ourselves to making a business argument in the business argument here is about The lawyers have a very important job to protect the organization
look like something like Google showcase does I don't know I'm we're really interested in experimenting. What's nice is they didn't say you're gonna do this. You know, it is really an open an open invitation to collaborate on that front. And it has I don't know if it's, it's certainly is a line in the sand for it for the news industry. I hope it helps other newsrooms to get what they're entitled to get and set a standard in that way, but I think it's too soon to tell. I know some people are like that was a dumb deal or a good deal. It's too soon to say but I'm glad we did something to protect our IP.
And I will add that just to be clear that neither AVR were involved in that deal. And so just for example, on our local AI projects, I still I still have to pay open AI out of my corporate credit card for you for our usages for local projects.
High Ross Miguel See, I met the Philadelphia Inquirer. One of the slides earlier if I read it and then heard you guys correctly, it contrasted the buyer build argument as it comes to AI and I think the recommendation was build or the implication was that building it ourselves would be preferable or, or better. I'm wondering if you could expand upon that. And then specific to the AP, how is if you could elaborate on how the AP is viewing, you know, its role in AI. In local news specifically, you guys obviously have a huge impact on local news across the country, including clients. Are you viewing AI as a tool that Cool newsrooms
are actually beyond baby steps in AI already. How do you see your role evolving? Will? Will you like gravitate more to showcase best practice cases? Or do some more deep research and help local newsrooms dive deeper or how do you see your role?
I've got hopes and dreams. So my particular hope is that we can help lift all local newsrooms to at least a higher level of AI use. Just industry wide. There are so many newsrooms that as you said, are far ahead already in their journey that is wonderful. I don't see them as necessarily needing our help the most urgently it is the newsrooms that are struggling, the people that we've met along the way in the local news AI initiative. Or people said they work they are working 10 to 12 hour days. They don't have time to learn something new. They know AI can probably help them, but they literally told us they don't have time to learn something new. And so those are the people we need to lift up because we know AI can help them reduce their workloads. We know it can do that. And so it's just being able to reach them. That is probably one of the toughest things that I personally would like to address
and the teaching component to like that that was part of our Knight Foundation grant over two years was to understand and readiness to teach to those deficits once we added and curiosities once we did understand that and then develop my project. So you know, I see us that's a it's a really nice way to build a course and to build tools that newsrooms actually need by asking them what do you need? So I think we'll continue to do that model.
Hi, I'm Nikita I host, the newsroom robots podcasts where I asked newsrooms how they're using AI and journalism. And Amy, when I had you on the podcast a couple days later, open AI signed the deal with AP. And so I'm gonna follow up on that question more. It was talking about open AI giving expertise to AP, can you is there more information in terms of like how open AI is putting open AI is talking about sharing expertise with AP in poorest part of the deal along with the $5 million? So my one question is, what does what is that partnership really looking like? And the second question is in terms of licensing that he has done and taking the first step. So how is licensing probably going to fit into the business model of journalism is that a new revenue stream for us? And for local newsrooms, who probably don't have the connections and to go and ask tech companies and these giants to pay them? What does that look for, like for the local news ecosystem?
For their licensing? Yeah, yeah. So AP, its primary revenue stream has always been licensing. So the New York Times licenses us my hometown paper in Fort Wayne, Indiana licenses us that that's just how AP functions. I think it's about about half of our more more, okay, so we, so that is a traditional model. I don't know how much that deal was, but I don't know how much the New York Times pays to APA either. So like, and it's, it's meant in that kind of silence because it's not everybody pays something different based on size and range and all of that stuff. So and in terms of the collaboration, we still are working that out. We haven't again, what I like is they haven't said you must do this and you must deliver something. It's very open ended. And and a space to create with I you know, I really appreciate them having, you know, strong technical chops and lots and lots of people there who could help us and inform us so what will that project be? I don't know it'll to be determined. I hope it doesn't happen two days after I'm on your podcast again.
Hi, my name is Aditya Rani, and we started at some NLP startup two years ago. Basically with the hope of bringing AI to local journalism and we created a proof of concept that basically summarizes NPR articles into Axios style articles so if local news you need anything, let us know we already created so we can provide it for free. My question was like, I mean, the reason that we started this was it based basically what your me said I mean, kind of legacy media is just too slow. They know what the right direction is, but they can never do it right. So what what what is what is like, even I mean people at the cross section of technology and journalism can do to make sure that journalism does not take this turn of technology wrong, because it seems we can not really HOPE for New York Times if the world's to change that but other things needs to happen. So that's, that was good.
Yeah, that's a great question. I mean, I think all of you being here is a really great first step in that. I mean, I think as many evangelists of this weekend have I think, the better. I think that you know, a lot of the projects that you all worked on, and just a lot of the work that you know folks in the industry have done around AI is a really great step. I think it's really refreshing to see how many people are really pushing this thinking about, you know, the guidebooks that have been created the conversations that OMA has facilitated both at this conference and you know, during zooms and things. So I think just seeing that collective interest has been really inspiring and I really like that a lot of the work that's been done has been on the local level, which I think is really a great way to ensure that this happens. And I think it's gonna be one of those things where when a lot of people start doing it, everyone else is gonna to
code for the ethics guide again
where is it? Jabbar me?
Yeah, of course. How are you?
I'm Amy. Thanks so much. My question wasn't able to talk to me very much yet, but that is that to me is the promise of Elijah. Yeah, I think why.
Okay, let's do it.
Yeah, so I do tomorrow but yep. And stay in touch. So that we can keep talking but I'm, I'm deeply worried about local newsrooms archives, because they think the archive is the content management system. And we've had three content management systems last 10 years, right. So anyway, so I hope that some of this is something we have run into.
is that like, I was like, no, no, it's just part of my life.
You know what I mean? like it's one of those things that if I say it loud enough,
know, but I think like that is the process that was a big, large language level that is fine too, and I was specific,
