Episode 11. It's the end of 2023 and our first season. The hosts reflect on what's happened with the fundamentals of AI regulation, data privacy, and ethics. Spoiler alert: a lot! And we're excited to share our outlook for AI in 2024.
AI regulation and its impact in 2024
- Hosts reflect on AI regulation discussions from their first 10 episodes, discussing what went well and what didn't.
- Its potential impact on innovation. 2:36
- AI innovation, regulation, and best practices. 7:05
AI, privacy, and data security in healthcare. 11:08
AI safety and ethics in NLP research. 15:40
- Does OpenAI's closed model set a bad precedent for research?
- The tension in NLP research: AI safety, and OpenAI's approach
Modeling mindset and reality between scientists and AI experts. 18:44
AI ethics and its challenges in the industry. 21:46
- Andrew Clark emphasizes the importance of understanding the basics of time-series analysis and choosing the right tools for the job, rather than relying on automated methods or blindly using existing techniques.
- Sid Mangalik: AI ethics discussion needs to level up, as people are confusing models with AGI and not addressing practical issues.
- Andrew Clark: AI ethics is at a bad crossroads, with high-level discussions divorced from reality and companies paying lip service to ethical concerns.
AI ethics and responsible development. 26:10
- Companies with ethical bodies and practices are better equipped to handle AI ethics concerns.
- Andrew expresses concern about the ethical implications of AI, particularly in the context of Google's Gemini project.
- Comparing AI safety to carbon credits and the importance of a proactive approach to ethical considerations.
AI ethics and its importance in business. 29:31
- Susan highlights the importance of ethics in AI, citing examples of challenges between board and executive teams.
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