1. Copyright and ownership
In this video, we'll explore complex issues around intellectual property and privacy posed by progress in generative AI. Let's dive in!
2. Who won?
Recall this AI-generated painting that beat out humans in a State Fair art competition. It raises a fascinating question: who really won?
Is it the person who provided the prompt or the company that developed the AI?
Perhaps the artists whose works were used in training the model or even the AI itself?
This shows the complex relationships at play with AI-generated content.
As AI becomes increasingly creative and independent, determining rights and responsibilities for AIs and their creations will only become more important and more difficult.
3. Law vs. AI
IP law has been around for centuries, but how does it apply to AI-generated content?
As the generative AI space advances rapidly, the legal landscape is evolving to address the new challenges it poses.
We'll discuss three legal areas impacted: intellectual property determination, privacy implications, and evolving industry norms and government regulations.
4. Follow IP best practices
Copyright and IP laws were designed for human creators, not AI systems. But as AI produces more content independently, from art to music to academic research, determining ownership becomes crucial.
While no one-size-fits-all solution exists for navigating concerns, we should follow a few best practices.
We should always check the copyright status of data used to develop AI systems. For example, a code-generating AI may face legal questions if it was trained on other people's code without first gaining the rights to do so.
Legal professionals can help us navigate the evolving copyright landscape. Engaging legal guidance can mitigate or avoid many legal risks entirely.
We should keep up with the latest developments in AI and copyright law. What was legal last year may not be legal today, and what's allowed in the EU may be banned in China.
Ignorance of the law will not excuse violations or privacy breaches.
5. Privacy implications with every prompt
Privacy is also a major concern. Consider these points when using AI-generated content:
Read the terms of use before interacting with an AI. Understand how developers store and use user data.
Consider the privacy implications of what we share. We know how critical RLHF is for generative AI systems, so developers may add whatever we share to their next round of model training.
Finally, consider running models on local computers or private servers. This way, our data never leaves our hands.
6. Evolving norms
Each industry is grappling with generative AI differently.
For creative fields like media, fear around AI replacing human jobs led to protests seeking limits on AI adoption in the movie industry.
But in other fields like medical research rapid adoption is leading to major breakthroughs.
It's important to understand a specific industry's norms and adapt accordingly.
7. Evolving regulations
The legal landscape for AI is an active patchwork of new laws emerging in different countries and different regions at varying paces,
and may depend on factors such as where users are, where servers are located, and where the developer is based. For example, EU regulations enforce privacy restrictions for EU user data even if the developer company is not based in the EU.
As the legal landscape rapidly evolves, staying informed about the latest changes is crucial.
8. Let's practice!
Time to practice what we've learned. Good luck!