Summary
In this episode of Plays Well With Others, Andrew Moore and Jess Agnew delve into the complex world of AI data ethics, discussing the implications of massive data acquisitions, the public's perception of data privacy, and the historical context of data sharing. They explore the race for AI and the challenges of fair use, intellectual property dilemmas, and the ethical use of data in AI models. The conversation culminates in a discussion about the need for a framework for fair compensation and the importance of international collaboration and accountability in the evolving landscape of technology.
Chapters
00:00 Introduction and Sponsorship Announcement
02:35 AI Data Ethics and Skynet
05:03 The Impact of Data Acquisition
07:52 Public Perception of Data Privacy
10:27 Historical Context of Data Sharing Concerns
13:24 Exploitation and AI's Role
16:03 The Fair Use Debate
18:48 Ethical Data Sourcing
21:25 Accountability in AI Training
24:00 The Future of Copyright in AI
Notes
- https://firewall.coffee/ - Check out our sponsor!
- https://investors.redfin.com/news-events/press-releases/detail/1288/rocket-companies-to-acquire-redfin-accelerating-purchase
- https://futurism.com/openai-over-copyrighted-work
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