
Sign up to save your podcasts
Or


In this episode of AI Deep Dive, we explore the growing ethical and legal challenges of using copyrighted data to train AI systems. We begin with the story of a former OpenAI researcher who left the company, raising concerns over its use of copyrighted content and sparking debate on the "fair use" doctrine. We also discuss Apple’s integration of ChatGPT and other generative AI features into its operating systems, and how this move has raised questions about data privacy and user consent. Google DeepMind’s SynthID watermarking tool comes into focus as an innovative step toward transparency in identifying AI-generated content. Lastly, we highlight the rising protests from creative professionals who are speaking out against the unlicensed use of their work in AI training. Join us as we delve into the intersection of ethics, law, and AI innovation.
By Daily Deep Dives2.8
2020 ratings
In this episode of AI Deep Dive, we explore the growing ethical and legal challenges of using copyrighted data to train AI systems. We begin with the story of a former OpenAI researcher who left the company, raising concerns over its use of copyrighted content and sparking debate on the "fair use" doctrine. We also discuss Apple’s integration of ChatGPT and other generative AI features into its operating systems, and how this move has raised questions about data privacy and user consent. Google DeepMind’s SynthID watermarking tool comes into focus as an innovative step toward transparency in identifying AI-generated content. Lastly, we highlight the rising protests from creative professionals who are speaking out against the unlicensed use of their work in AI training. Join us as we delve into the intersection of ethics, law, and AI innovation.

1,639 Listeners

1,090 Listeners

170 Listeners

334 Listeners

42 Listeners

62 Listeners

131 Listeners

93 Listeners

154 Listeners

227 Listeners

611 Listeners

107 Listeners

173 Listeners

55 Listeners

146 Listeners