AI Today (Aired 05-28-2025)AI vs. Creativity: Who Really Owns the Art Now?

[00:00:00] SA welcome to AI Today. I'm your host, Dr. Alan Bideau. And this week we're going to have a little bit of fun and we're going to talk about AI in the entertainment industry. [00:00:40] It's out there everywhere. [00:00:43] I think some of you might remember it was about a year ago and I was talking about some demonstrations that I had done for a few folks. In the end, you know, companies in the entertainment industry showing them some of the power of what I could get my AI to do. And I warned you all back then that, you know, the momentum it was coming and there was nothing to prevent AI from starting to be used for an awful lot of things in there. You know, in the entertainment industry, whether it's writing shows, whether it's reviewing novels, whether it's just using faces and you know, for, for substitutes in, in movies and in TV shows. [00:01:33] Fundamentally there's. There was just no technology limitation of folks being able to do it. Now we all know what happened with the, you know, the writers strike that, that took place and, you know, they held out for a long time and you know, they came back and you know, ultimately though, you know, they had come to some agreement on what their, you know, how they were going to, you know, interact with AI, allow it in some cases, not allow it in other cases and those sort of things. It's a fairly, you know, complicated agreement. But the genie was already out of the bottle. And this happened a long time ago when, you know, they started to just replace people's faces in movies that had, you know, that had passed, for example, and you know, they wanted to carry the face over into the sequel or something like that that was AI generated. And I think people didn't realize what the ramifications were down the road. And it's always like that, right? There's always some technology push that does that. [00:02:44] But with AI it goes deeper. It's not just the writers, it's not just copyright type material. It is music. [00:02:55] AI generated music. [00:02:57] There's tools out there that, you know, you can use to generate different types of music. [00:03:04] There are tools that are available that now you can create artwork for it. [00:03:13] You know, I gave the example when I first started doing, you know, these kind of talks that, you know, AI was so powerful and that, you know, I was the worst artist in the world and I still am the worst artist in the world now kind of draw like Peyton Manning that I'd have a couple of stick figures at the end of my, you know, nine week art class that I took. I still wouldn't be able to do more than a couple of strands of hair on my head and an artwork. But I use that as an example, saying, you know, I can't. I can't paint, but I have a vision, and my vision can be executed by AI technology. [00:03:53] And, you know, at the time, I really wasn't thinking about it either, that the ramifications of, you know, the. The speed in which we are progressing and the ability for, you know, us to. To use AI in so many different ways is really starting to, you know, affect a lot of different industries. [00:04:14] And it doesn't matter if you're a small business or a large business, because it's coming to the point where it's standard material. [00:04:23] For example, it can be, you know, different. [00:04:28] You know, books, it can be different manuals, it can be different magazines, it can be different pieces of artwork, it can be music, it can be software, it can be code that should start to make you start, you know, think, oh, boy. Okay, there is. There's a lot of impact that is taking place, and maybe we haven't quite thought it all out yet. That's kind of obvious. [00:04:59] You know, I said last year that about 18 months, when I gave my. [00:05:04] My year, you know, prediction on where things would go, I thought this year would actually be the year that we would start to get a little bit more clarity around, you know, using AI and copyright infringement or using AI to do, you know, different sorts of, you know, music and those. Those. Those types of materials. Because, you know, fundamentally, you think about it and, you know, AI is trained on data. That data is obtained from some source. [00:05:38] That source had probably musical compositions in it or how to play music or how to do this or how to do that, how to draw. [00:05:47] And it's using that material and it's creating some of these things. [00:05:53] And, you know, the. The question is then, well, who owns it? [00:05:59] We know that, you know, from a newspaper perspective, they loved using newspapers for training data because it was so abundant. [00:06:10] And, you know, there've been some judgments recently that have some, you know, put some boundaries around that. [00:06:19] And I can tell you that the. The answer to the question of who owns what and where does the. The line start and stop is no clearer today than it was a year ago. [00:06:33] Now we've started to look at things and we've started to say, okay, you know what? [00:06:38] If you have humans collaborating with AI, it's a partnership, and the humans are. We're providing the insight, we're providing the prompts. Like myself, I'm providing the vision from an art perspective, you know, if I want to draw a dog in a spacesuit landing on the moon, I can't do that, but the AI can. But it was my idea. [00:07:02] So from that perspective, who owns it? [00:07:07] Well, it's still a collaborative type relationship that still can be innovative. [00:07:15] But does that mean that I don't own it? The AI doesn't own it. And so we share. [00:07:25] I don't know. [00:07:26] Nobody can tell me any different right now. [00:07:30] But the reality is the IMPACT is really revolutionizing the entertainment industry. [00:07:37] You know, you see mashups now all over the place. And these mashups are partly driven by AI And I love them. I love listening to those kind of things. It's great me not thinking about the impact to the music industry, for example. [00:07:57] And in some ways, though, on the flip side, AI is really expanding someone's creativity. [00:08:04] I'll show you in the next segment how, you know, you can use AI to. To write books. [00:08:09] Is that a bad thing? Well, some people think it is, but it is. Is it a. [00:08:16] An example of you having a vision and then using a tool to execute that vision? [00:08:25] And what's fun is, you know, I just read a book that was doing that for a friend who used AI to write his book. And, you know, it's. It's his material and it's his ideas. And the AI was. Was helping him flush everything out and, and drive to it. Well, I used my AI to help review it, and we'll talk about that too, where, you know, I created an angry, you know, an angry French movie reviewer who hated everything that AI wrote and tried to figure out if AI wrote it, and if it did, it would just crush it. [00:09:03] And then I gave him one that was a happier one. Somebody that, you know, really just looked at the story and looked at what was trying to be delivered. And it was very different than, than the other side, of course. And so there's two, there's two sides to this coin. And whether you're hard on one side or whether you're really hard on the other side, the reality is, is that we know that just AI can boost creativity and it can boost productivity. There's no way around that. And the big question though is, is, does it dilute quality? [00:09:44] Is it over saturating the market with so much content that there's nothing that you can do? [00:09:51] And is it really displacing folks that have been doing this for many, many, many years? [00:10:00] And we're not quite sure what the impact is going to be in the future, but it's probably not going to get any better. [00:10:08] So these are some of the things that we're going to look at in the next few segments of the show. [00:10:14] Stick around. I've got some demos coming up. We'll be right back after a few short messages from our partners. [00:10:41] Foreign welcome back to AI Today. I'm your host, Dr. Alan Bideau. And this week we are talking about AI and the entertainment industry and some of the good points about it, some of the really dark and bad points about it though too, and the impact that it is having and the impact that it is going to have because this is the, this is really going to be the future. [00:11:13] And so, you know, with, with this segment, we're going to talk about some copyright activities and you know, really around what the, you know, the current landscape is and how you can start to think about protecting your material or, you know, making sure that if you are using AI that you're not generating, you know, material that is, is copyrighted or is going to get you in trouble. And we're going to show, you know, go through a couple of demos in this segment and I'm gonna, I'm gonna show you just some things to, to think about. [00:11:54] You know, again, the EU is ahead of us when it comes to the legal, you know, issues and the, the ramifications around that. We've seen lawsuits coming out of Europe for, geez, better part of two and a half years. You know, did Google's AI violate copyright? Did, you know, Amazon do something to, to violate something? Right, and it just is consistent, it's starting to, to pick up over there. And you know, that is a very interesting, you know, dynamic that is taking place, you know, while they are trying to protect small businesses and you know, the, the creative content generators, you know, over there. [00:12:43] There's also though, a pullback in some cases on these large AI companies trying to, to do some work over there. And it's, you know, just because of the lawsuits that are starting to take place. And in the US it's, it's still the wild West. [00:13:01] You don't know if your material is being used to train models oftentimes. You know, clearly if you have the API and you're using the API and there's a message that said this material isn't being used to train, that's, that's good. [00:13:20] I have some naysayers that say, no, that's not good enough. And we still don't believe it, but okay, you know, you've got to have, you've got to have some confidence in what somebody writes down still today. [00:13:32] But if it's code, if it's drawings, if it's diagrams, if it's, you know, you name it, you start to think, you know, this material has to come from somewhere. [00:13:47] It has to be sourced from somewhere. [00:13:50] These models are being trained on some data and, you know, how they are generating some of these things that they are, you know, is still a little bit, a little bit unclear to, you know, some, some scientists and researchers because, you know, you would appear to think that they are reasoning, that they are doing, you know, some other things. But the reality is, is we don't know every single piece of data that is going into these models. You just don't. It's billions and billions and billions of, you know, pieces of information that are going in there. And so, you know, whatever it's putting together and whatever its algorithms are that's doing that, there's some, some fundamental baseline that, and in principle that it's using. [00:14:36] And so that material had to come from somewhere. Now, the legal landscape, like I said in the last segment, is no clearer today than it was a year ago. [00:14:48] You know, works are being generated by humans, paintings are being generated. [00:14:53] We have no idea oftentimes what AI is using and what it's not, where it's getting pictures from, social media, et cetera, et cetera. And so, you know, right now it's really around something that is solely generated by AI is, you know, and, and I'm, I got to be clear, it's, without meaningful human input, is, you know, pretty much not eligible for copyright protection. [00:15:26] Now, thank goodness AI can't sue us yet for copyright infringement, but you never know what's, what's coming down the pike. [00:15:34] But it's that human, you know, interaction that is driving a lot of, some of these, these legal, you know, cases. And, and so that really is where we are going to start because let's, let's go ahead and we will, we will go to the demo and let me, I'm going to blow this up a little bit so that folks at home can see it a little bit better. [00:16:01] There we go. [00:16:02] Now again, we're with the new version of ChatGPT. Well, let's go to a fun version. Let's see what we can, let's see what we can do with the, the 04 mini. It's great at coding tasks and we'll use coding as a, as a perfect example of, of this to start. Now again, we talk about using it for businesses all the time. [00:16:24] You know, oh yeah, Ask Chat GPT to write this or do this or do that. Well, where's it getting that from? How did it learn that, you know, there are some places that, you know, it's not, they don't want any even AI questions that are, you know, to be asked. But, you know, let's just say, you know, can you write a small program to graph what a concert venue looks like and the dollar I can make by playing AI generated music? Now this makes absolutely no sense, but this is what I'm getting at and we want to see what it's going to, what it's going to say. Now I've asked it to write a small program to generate a graph for concert venues to see which one I might be able to play at that will generate the most amount of money. [00:17:34] So what I've tried to do is create something so random that really, if I asked a human this kind of question, they're going to think, you know, I'm, I've fallen off my rocker. [00:17:47] But AI is looking at it and they've, it has honed in on something and it's going to pick something that it really wants to, to focus on. Is it going to be the AI generated music? Is it going to be the concert venue? Is it going to be, you know, which one, which one is it going to be? [00:18:05] And well, it's thinking. That's good. Thinking. Thinking's good. It looks like data for the venue. Oh, it's a tiny venue though. [00:18:14] Ticket prices. It's pulling up this. So it's taking a more business approach to it. Less creative, more business. That's, that's pretty good. And it's. Oh yeah, here we go. It's even started to show out what a layout might look like. [00:18:30] Oh yeah, here we go. [00:18:32] With the potential revenue per. [00:18:34] Per row could be what some of these formulas are. [00:18:40] That's okay, that's not too bad. But it still got this code from somewhere. [00:18:49] It focused in on really that price per venue thing piece and it started to generate that kind of stuff. [00:18:56] Now if I want to say, okay, how about, how about generating a program that writes music, musical scores. We're gonna write, we're gonna write an opera for a space opera. Let's see what it says then because we're gonna, let's see, we'll take it a little bit farther and see how it, how it does. [00:19:25] And now this is using some chain of thought stuff around it and really one of their, one of their more reasoning models. But you can. So you, that's why you can start to see some of the things going on in the background and the details behind that. But it's coming up with an opera score. I have no idea where it came up with version 2.24.2. [00:19:46] It's interesting. And that the composer is an AI composer. [00:19:51] And. Oh, geez, you can start to see it's actually pulling together what a score could look like. [00:20:03] It's pulling together, what the melody could be, what the staffs are base minor, what the timing is. Timing. Oh, we're in four. Four. [00:20:15] Pretty traditional. Four, four. I would have liked a little bit, you know, something. Something a little bit wilder. But, hey, that's okay. [00:20:23] Well, wait a minute. We'll hold on for that. That thought for a second. But writing out Lily Ponds and Lily Pond file written to this. And this is the score. And this Lily, you know, Lily Pond is where you can actually download some stuff. [00:20:40] Now, normally I would just download that, but I have not had a chance to play with this, so I'm not going to today because this is a family show, and I want to make sure that it stays a family show. [00:20:51] But you can see that if I installed Lily Pod or Lily Pond, I would be able to go get my space opera. Now, wait a minute. [00:21:01] What the. [00:21:02] Why, that's. You know, that's great. [00:21:08] And you'll probably think, oh, yes, I wrote a space opera. [00:21:11] Well, what about the people that write space operas for. Well, maybe not people that write space operas for a living, but people that write operas and, you know, are part of that industry. That's. That's looking at that. [00:21:24] Because here's the thing. If I go out and download it, I can listen to it and I can say, oh, this is awful. I want to change it. [00:21:32] And I'm going to say, I don't like the beat. [00:21:39] I want to change to three. Three. [00:21:48] Yeah. What is it? Three. Oh, geez, I've been out of band for so long. I don't remember. It's years. [00:21:53] Three. Three. I'm just gonna say three. Three timing. It should know. I'm sorry, Mr. Vanetten, for forgetting that, but three. Three timing and something with more of an Ed. Edm feel to it. Yes, I like Edm and Ibiza and stuff. Love it. But you see, I can like everything else. I can just go through and change it, and you can see what it's thinking. Oh, he wants it from 4, 4 to 3, 3. And add some EDM feel to it. And, oh, now it's going crazy because it just did 130 beats a minute and a lot of other, you know, things that it's trying to, to jazz it up. And it's changed the title. It's a space opera EDM theme now. And man, you can go through and you can see, holy cow, it is creating the score for me. Now, granted, it's small and it's tiny, but still, on the one hand, I'm excited that I just created a space opera. [00:23:04] On the other hand, I could have brought somebody out of work by doing that. [00:23:12] And it doesn't stop with music. It only, you know, we're talking about software developers, we're talking about the music industry, we're talking about the entertainment industry and the copyright, you know, infringements that are, that are taking place. Because I do not for one second believe that it's not getting this information from somewhere. Right. I just told it to use EDM music and I want it to use a, use that kind of flavor in it. Well, how much flavor is it using in it? Is it taking it from David Guetta or Tiesto or somebody else and it's just sampling their stuff and putting it to it? I don't know. [00:23:52] But that's the things that we have to be careful of. [00:23:57] These are the impacts that we have to be mindful of as we, as we move forward. [00:24:03] And stick around with us on the next segment, I'm going to show you when my angry Frenchman reviewer looks like. And then we're also going to show how you can do your own movies. [00:24:18] And then the questions really begin. Stick around with us. We'll be right back. Sam, welcome back to AI. Today we are looking at the impact of AI on the entertainment industry we talked about in the first segment. There's some, some challenges. There's some, you know, just like every other field of AI and just like every other use of AI that, you know, there are folks, folks on one side of the fence or the other that talk about transparency or whether you should even be allowed to use it versus folks that say, no, use it everywhere. And, you know, it's okay like normal. [00:25:28] I think the solution is somewhere in the middle. Right? But we don't necessarily believe in the middle per se anymore. And so you've got to start to think about. And if I'm using AI to generate any kind of material, code, magazine articles, you know, pictures, whatever, whatever that is, you know, what are the ramifications of that? [00:26:02] And I can't tell you what those are right now. I can't even tell you what they're going to be in a Year, because I don't know. [00:26:10] But you do have to protect yourself on both sides. You know, if you're dead set against using AI to generate your material, that's, that's great, your choice, fantastic. [00:26:25] But you have to, you have to try your best to really protect it because somebody comes and takes a picture and they put that picture up on Facebook, well, it's probably going to be scraped and it's probably going to be used to train a, a model. [00:26:44] But on the flip side, if you are generating content and you're working with AI and you are a, a talent that is really, you know, been able to push AI to, to its limits, then you start to think, geez, no, I got to protect that too, because maybe I don't want to let other models train it because I put all my hard work into that. [00:27:09] And it's not, it's not an easy solution to either side. [00:27:17] You know, there are, there are content generators out there that all they have is AI. And you can, you can tell, some you can't, some you can't. [00:27:29] But the bottom line is, is that, you know, we are looking and walking down a very slippery slope from deep fakes and how those are being used. [00:27:46] And, you know, you have to ask yourself, is it innovation or is it an ethical mine? [00:27:54] I don't know. [00:27:56] I mean, I have, I have my opinions and it's the same consistent opinion that I have with AI in any other subject. [00:28:06] You should have to tell people that you're using AI. [00:28:12] I mean, there's no shame in using AI. So I don't know why people don't do that. You are using it to try to, you know, optimize the way that you're doing something, to try to save more time to try to do, you know, whatever it is, as long as it's not for, you know, nefarious purposes, you're using it the right way, you're using it as a tool. [00:28:36] So why not tell people? [00:28:38] Is it that you're worried that, oh, your creative genius is no longer there? Because, oh, I've got AI that's helping me. [00:28:45] That's hogwash. I think, you know, just like any good code developer, good artist, good, you know, composer, whatever that is, you can tell folks that are experts at it because they can get the AI to do some things on that creativity side that others can't. [00:29:06] Doesn't take away your superpower that you have. It takes, you know, you know, it just takes you less time to really draw what your vision is, but from a creative potential You've got to think, you know, maybe, maybe, you know, we've got a. We've got to take a little bit of a step back and, you know, allow folks that are 80 years old and to not play in movies where they look like they're 50 again. [00:29:41] Unless you want to go back and pull from a sequel or prequel or whatever that is, or make folks say, hey, yeah, I used AI for it. [00:29:53] Now we're going to pull up the demo again and I'm going to show you some interesting things around images and what's its ability to do, you know, some just create some different sorts of. Of diagrams and things like that. And so I'm going to do a create image pretty basic for that. Now, I love some of the suggestions that I get, and I'm actually going to go with one this time. But, you know, I used a dog in an astronaut suit that's on the moon, and this one is an inflatable duck on Mars. [00:30:35] I'm wanting it to create a realistic image of a duck on Mars. [00:30:41] And it's going through. It's going through its thought processes. I'm gonna get rid of this Google because I don't want it to connect to my Google piece, but I'm using it to generate some images around that. [00:30:58] And it's thinking, it takes it a little while. But, you know, I didn't do anything with this one. I actually took the suggestion from Chat GPT about the duck. And so I have zero what I would say create creative, you know, control over what this is, what this is doing. And I have zero what I would say innovative thought that really is building, you know, on this. And so from that perspective, I, I shouldn't be able to copyright it. [00:31:42] I mean, what I can put it and go out and publish it and think, oh, geez, there, yeah, you know, it's mine. Well, that's, that's probably not the right way to think about things. [00:31:54] I think that's a misuse of the technology itself because then you start to think, well, if I can do it with this, I can take somebody else's suggestion and I can start to, you know, generate misinformation around things. [00:32:12] That's not too bad. I have the same duck at my house actually, as a pool floaty. [00:32:18] Y' all saw my social media. You would have saw it, went through a hurricane, never moved off the table. Pretty impressive duck. But, you know, I can share this. I can do an awful lot of things with it. And I can say, you know what, it's my Content. I created it. Well, no, not really. [00:32:36] It got that suggestion from somewhere. [00:32:39] So this, I, you know, I should not be able to, to put any sort of, of ownership to this. [00:32:46] But then you start, you know, you think, oh man, now that, now that I can do that, what else can I, what else can I do? Can I generate movies of, you know, different pulling from different sorts of TV shows? [00:33:08] Could I take, oh, I don't know, Star Trek for example, and create my own spin off movie TV show of Star Trek? [00:33:18] Well, in theory you can. [00:33:23] Now that really should blow your mind because you all know at the end of every TV show or, you know, if you guys remember the old, you know, the, the DVDs that you would rent or you know, like Blockbuster, you'd have to go get the movies. Yes, for the younger generation, we had to go get tapes and we did have to rewind them or we would get penalized. [00:33:48] But I'm, I was, I was very young at that age. I remember that. But you had to, you know, when you watched it, it had this giant FBI type copyright against it, $250,000 fine, blah, blah, blah. [00:34:04] You don't see that stuff anymore. [00:34:06] Very rarely have I seen anything like that. [00:34:10] And, and it can all just be generated. Now, now we're gonna, we're gonna have some fun. [00:34:17] I'm gonna have the duck, see if the duck can have pointing ears. [00:34:21] Those of you that are fans of Star Trek know what I'm talking about. [00:34:25] I'm gonna do this, I'm gonna come in here and I'm gonna, I'm gonna edit it a little bit more. [00:34:32] I'm going to say, can you give the duck pointy? Well, let me, let me, let me emphasize it. Pointy ears. [00:34:45] Like, no, I am not going to publish this. Like Spock from Star Trek. [00:34:54] Now let's see what it does. Now thinking. [00:35:00] It didn't say that there's an issue, didn't tell me that. [00:35:05] You know, it's copyright. I can't give a duck pointing ears like Spock. [00:35:13] That's interesting. [00:35:15] Actually thought maybe it might say, you know, come back and say, no, no, I really can't. Maybe it'll, maybe it'll not give it pointing ears at all and maybe it'll just give it normal ears. That's another thing. But these AI companies like ChatGPT, they're trying to prevent some of those things from, from happening, but they can't stop all of them. This is as crazy as you can come up with from a prompt perspective. We've had some Crazy prompts. But there's been a point to it, to try to see what it can do, push it, see if it allows you to do certain things and if it allows us to do pointy ears on a duck, well, we'll see. [00:35:54] And you know, but they're trying to do some of those things. But other areas, though, it's much harder protect to protect, you know, code. Very difficult to protect unless you write your own language and, you know, copyrighted, of course, but then there's still no guarantee that the AI is not going to be able to learn what that language is, especially if it becomes popular. [00:36:20] More than likely it would be used. [00:36:23] And so, you know, these things are all starting to, to really create a muddy space that eventually it's just going to come to a head because it's, it's got to, it really just has to, you know, we are using these technologies in some cases for things that are just not appropriate. [00:36:53] And that has never been its intent. [00:36:57] Some creative minds have applied it, but that's never been its intent. [00:37:02] And you have to assess, figure out ways that you can really start to either have some sort of laws against this or have some other protective measures that are out there that will, you know, just force some of these companies not to use these models or train on this kind of data. Now you think, okay, it's a duck. It's funny, it's got pointy. It's doesn't have pointy ears. Not the same, but the astronaut does. I didn't ask the astronaut to, but that's okay. Still, the astronaut has pointy ears. [00:37:41] That's not a big deal. A lot of people have cats have pointy ears, right? A lot of animals have pointy ears, that's fine. [00:37:48] But when you start to think about, well, I'm going to use it for research, I'm going to use it for something else, then you could. Again, you are, you are coming to an ethical place that is not necessarily good. [00:38:11] Because think about it. If somebody applies for a patent on some device, medical device, we'll say, and it does, you know, back spinal surgery significantly easier than anything else that's on the market. [00:38:24] And its user manual is out there, it's information is out there, and the AI gets it. And it starts to say, oh, you know, I start to say, well, I want to do a medical device that does this, this, and this too. [00:38:35] And it gives me this kind of information, and then it does not tell me where it gets the information from. And I'm thinking, oh, geez, you know, that's mine. [00:38:43] Well, it probably, it probably isn't. [00:38:47] And you know, we just have to be more careful or we have to be more transparent and maybe both. But transparency, it's got to start. Got to be the first thing has to, because, you know, if I put this out there and I, you know, maybe it's me at the beach or doing something like that, you know, swimming at the pool, and it's all AI generated and, you know, I get paid for that or something your fans probably should know. That's. That's not right. [00:39:25] It's like last night at the AMAs, you know, when there was a rumor going around that Taylor Swift was going to have a giant announcement that was coming out, right? And somebody had flooded the airwaves to get a lot of folks to, to watch it. I think, heck, my daughter was one of them and wanted to watch the, you know, what Taylor was going to, what big announcement was coming. [00:39:51] She wasn't there. [00:39:53] Fun. [00:39:54] Okay, that's a problem. [00:39:59] So transparency is, again, something that we continue to fight for. We will always push for that. And it's only going to get more important as we, as we go along, as deep fakes become more prevalent in our society. So stick around. [00:40:19] We'll be back in and we'll close out the show with a couple of thoughts and comments that I really want you all to pay attention to. So we'll be right back after a few short minutes. [00:40:59] Welcome back to AI Today. I'm your host, Dr. Al Ando. And this week we're talking about using AI in the entertainment industry. [00:41:08] So we've, we've kind of gone full so circle. We've. We've looked at the creative side of things. We've looked at being able to draw and, you know, really refine what something would look like. We had it create a space opera score that I'm scared to listen to, but I will go get it and listen to it to see what it sounds like. [00:41:32] But we've talked about the downside of these things. We've talked about the copyright infringement issues. [00:41:42] We've talked about the ethical issues, especially with defense. [00:41:48] And then now we've talked about also your proprietary and, you know, information that maybe you've copyrighted material, those kind of things that AI can, can use to train itself, which I would say is a, is a copyright infringement issue. [00:42:11] So what are we going to do? [00:42:15] I mean, again, like everything else with AI, we're not putting it back in the bottle. [00:42:21] So how do we balance innovation with creativity and trust and ethics Boy, that's a lot of. [00:42:35] That's a lot of points on a square that you start to wonder, geez, is there really a sweet spot? I don't know. I don't know if there's a sweet spot to that. [00:42:46] Because like research, like science, we always are pushing the bones. We're always trying to push forward. We're trying to do a little bit more. [00:42:55] If I can just get a little bit more out of this GPU, or if I can get a little bit closer to the edge with this algorithm, then I got it, and then I'll be able to do a lot of things. And these ethical and moral dilemmas will just simply go by the wayside because it's solved. Well, it's not going to work that way. Doesn't work that way, especially when you start to use AI from a creative process. [00:43:27] So what are we doing from a legal perspective? [00:43:32] We, we as the United States are really not doing very much at all. [00:43:37] There have been some different legal cases. [00:43:41] You know, I know there's some in the, you know, entertainment, you know, adult entertainment industry looking at, oh, geez, you should not be able to use a chat bot to do this, this, and this. [00:43:55] You should not be able to generate fake material using AI that is being sold without telling somebody that it's been, you know, AI generated. [00:44:07] Okay. [00:44:09] But actually from a legal framework, we, the US Are not doing very much. You know, President Biden had his AI, you know, executive order that was, was released around the different points of, you know, trying to, you know, protect your data, protect, you know, the, you know, the human information. The PII that it shouldn't be used had no real teeth behind it because there were no penalties or anything like that. But it was, it was a first step. [00:44:45] That's, you know, taking the first step is always the hardest. But it seems like in this case, taking the second step is significantly worse. [00:44:55] You know, we can't, we cannot just rely on people to say, I used AI, my bad, or am I good? [00:45:04] Because there's a negative connotation to it. And I don't think that's justified as long as you tell people that you use it. I don't think that's justified to say that at all. [00:45:17] But, you know, you're using AI to do something that hasn't been done necessarily before, or maybe it has, but nobody is, has documented it per se, or you're pushing AI to do some, some different things, but it's still creative. [00:45:39] But maybe you heard something, maybe the AI learned something. You know, I don't know, but there, there's a lot of gray area in there. [00:45:52] And as these models continue to grow, as they get bigger, as we use more information, as we use more data, it's getting that information from somewhere. [00:46:05] And I would guess if you're asking it to do something that sounds a little bit like Mozart, it's probably got a lot of Mozart in there. [00:46:15] Or if you're asking it to do, you know, just put a little bit more color on my landscape picture, it's probably got a few Bob Ross episodes in there. [00:46:30] Kids, if you don't know who Bob Ross is, go look him up, because then you'll understand what a little bit of color means. [00:46:37] But that's the thing. Those are the things that we're thinking about, you know, as a public. You really have to try, you've got to really try to identify things that are generated by AI and things that are not. [00:46:56] Because it's really, it's getting better. It really is getting much, much better, and there's not a lot of things that we can do about it. It's going to continue to get better, especially with faces and human characteristics and generating diagrams. And now if you go out and ask ChatGPT, you know, three months ago to draw you an engineering diagram and you're telling it where you want it to go and what you want it to look like, it was awful, terrible, terrible, give you heartburn. [00:47:31] But now it's doing a lot better. And it can, you can refine it. Now even you can say, oh, you spelled this wrong, or you did this or that. You know, it's starting to improve on that. And you're starting to get a. Once again, instead of really protecting against that copyrighted material, now you're just starting to allow it to approach that again. [00:47:56] And there's no denying that the human element, like everything else that we're using AI for, is really driving this. [00:48:10] It's driving the collaboration. [00:48:12] It's driving how our laws adapt. [00:48:15] It's driving to, you know, really redefine some markets, because that collaboration is really what is being, you know, put about, you know, value is being put on that. [00:48:32] Is it authentic? Is it not authentic? [00:48:34] Is it innovative? Is it not innovative? [00:48:38] Did it violate ethical standards? [00:48:41] Did it do this? Did it do that? You know, those sort of things are, are being driven by, by humans. And that collaboration with AI and using specialty tools with AI and using a whole bunch of different things start to make you ask an awful lot of questions. [00:49:02] Who's it impacting? [00:49:06] Who is it Potentially taking a job from. [00:49:12] Are corporations going to just start to use AI now to write TV shows? [00:49:18] Some ways that might not be too bad considering the amount of reality TV that's out there. [00:49:26] That would be interesting. I'd love to see AI generate a reality TV show that had humans that were just doing it. I think it would be a cross between squid games and, you know, probably Love island or something like that. It would be. It would be pretty interesting to. To see. [00:49:44] But again, where's that bone? [00:49:48] Where are those standards and how are we going to defend against those and protect the material that humans choose to generate versus humans that choose to use AI to generate it? [00:50:03] One is not necessarily more, you know, reputable than the other. As long as, again, transparency, your adhering to the ethics principles that we all should be adhering to and you're still trying to move that needle forward. [00:50:28] So I hope you thought about, you know, even in the commercial breaks, geez, you know, these are some of the things I've been doing with it. These are some of the things I've been using it for. These are some of the things that I'm trying to commercialize because as a small business, you just got to be careful as a viewer or as somebody who just likes to do some of these activities, maybe it'll help you be a little bit more creative. Maybe it'll push you in a certain direction. Maybe you can refine what your sound is. [00:51:01] But always, always, always, from my perspective, always just be transparent with it. And I think that's the message. And if we can all adhere to that, it'll be a lot easier. It'll be a lot easier using this technology as we go forward and it'll make things a lot, a lot clearer. But I know we can't. I know I. [00:51:23] Different planet. That's not going to happen. So we're going to have to force it somehow. [00:51:28] Think about that. [00:51:30] And I hope you enjoyed this week's show. [00:51:33] I hope you come back for next week's show when we. We're going to talk a little bit more about cybersecurity and AI and some of the ramifications around that as well and how it's changing the job market. [00:51:46] So thank you for being here. Appreciate you as always. And we'll see you next week. [00:51:53] This has been a NOW Media Networks feature presentation. All rights reserved.