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
  • Data scientists face contradictory goals of fairness and privacy in AI, with increased interest in balancing both in 2024.
  • HIPAA privacy and the increasing use of machine learning and AI in healthcare.
  • Special thanks to the team at Shifting Privacy Left for a more in-depth discussion about privacy and synthetic data.
• 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
  • Thanks to special guests who joined us in 2023
  • Josh Pyle and his insights on bias and actuarial bias, and how they've applied to their work. See episode 10.
  • Christoph Molnar for explaining the differences in mindset between scientists and AI scientists when modeling reality.  See episode 4.
• 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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