How to Deal with AI Hallucinating, Copyright, and Fact-Checking
How can streaming pros deal with all of the copyright and fact-checking pitfalls of using AI systems trained with public datasets as error-ridden and inappropriately expropriated as the internet itself? 本·拉特纳，新闻技术总监， Boston 25 News, discusses how to navigate this minefield with Steve Vonder Haar, Senior Analyst, Intelligent Video & Enterprise, IntelliVid Research, Jeremy Toeman，创始人 AugX 拉布拉斯和科里·本克，制作人 & Co-Founder, LiveX 在这段视频中 流媒体连接2023.
Ratner begins by addressing a question from webinar viewer Beth Rosen: 你是怎么处理的 AI hallucinating 版权问题和事实核查? “所以对于那些不知道的人,” Ratner says, “AI is largely built on top of lots of information scraped from across the internet, 通常未经允许. So how do we deal with this particular issue in media and streaming in general?”
Vonder Haar says, “For me, it's a garbage in, garbage out type of situation. 如果你要从网上获取信息, God bless you, because you're not going to really have a trusted source of information from which to draw. 人工智能真正的未来将是, 至少在商业意义上是这样, in the development of limited data sets that are used to inform decision-making within a specific corporate network [and] a specific realm of individuals.” He then asks Jeremy Toeman what AugX Labs is seeing for their customer base regarding current issues with AI.
Toeman简要地解释了AugX实验室的工作. “In a nutshell, 我们要做的就是用叙述, 我们将其与库存内容或用户拥有的媒体相匹配, 我们把它和一个小的光编辑产品放在一起, 所以它对人们来说很容易使用.” He notes that awareness of digital rights management within the context of AI-generated content varies based on the type of user. “例如，我们与 Getty,” he says. “因此，当我们的营销客户制作视频时, 他们正在使用盖蒂的内容, (而且)他们明白这是拥有版权的媒体. When we find random individuals using it, they're using things like GIPHY，他们正在使用 谷歌图片搜索 诸如此类的事情. So, as we can see, there's sort of like the known universe and this whole new world. 我对世界采取一种版权友好的态度. So, at all times, our generative components are fully isolated. For example, if you don't want to use our script writing capabilities, write your own, no problem. We have talked to marketers who say, ‘I'm not allowed to use a script that AI wrote.’ So by us offering sort of a ‘whatever’ level, we get to address users as they need.”
Regarding AI hallucinations, Toeman says, “It's a real problem. The way we've approached it is [as that it is a] developer responsibility. 我们有责任, 如果你想做一个关于玉米饼的视频, 在它中间, 并不是突然之间就有了关于汉堡的讨论. That's on us. 所以我坦率地认为, 这取决于每个产品团队, 不管他们在制造什么工具, 是否生成图像, video, text scripts, whatever.”
“墨西哥卷饼只是一个你做得不够好的汉堡包, 它在烤架上就散了,” Ratner jokes.
“听起来像…… SNL 小品，但我不确定!” Toeman says.
Ratner asks the group, “Are you dealing with putting your own information into these models? 视频脚本之类的信息? 你只是在使用 ChatGPT’s 现有知识库?”
“我可以说，”LiveX的本克说. “我们有一款产品叫做 switcher.ai，我们不使用公开的数据集. 我是技术总监. I have been over the course of my life, and I know other technical directors. One of the things that I did for the language model was if I'm going to have an AI replace the technical director, 我需要输入我知道的东西. And a lot of live streaming and live broadcasts are very formulaic. Let's take a house of worship: I'm going to have the pastor, 我要去唱诗班, 那我就回去找牧师, 那我就回唱诗班去. 这是非常公式化的，以体育为例 NFL.”
Behnke emphasizes that massive outside datasets are unnecessary if you’re working within the predictable parameters of specific types of content. “So if we take the model and then we give [each] model a main formula, 我们不需要使用外部数据集,” he says. “I think right now, in this world we are living in, that will differentiate everybody else. 如果你只使用一个完整的公共数据集, 我觉得你不知道这一切从何而来. So it's really important to own your data set in a way you know exactly what's inside of it.”
Learn more about a wide range of streaming industry topics at the next 流媒体连接将于2023年11月实现.
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