A video: “AI Safety and Ethics in a Time of Generative AI”

00:04 GPT’s randomness affects its diagnostic predictions

02:26 Challenges in implementing AI ethics and safety guidelines

06:50 Design, modeling, testing, and deployment phases of AI ethics

09:17 Collecting enough data to understand system behavior

13:26 Design limitations and testing considerations for AI systems

15:38 Challenges in fairness and bias in AI systems

19:50 Designing systems with understanding of actual problems

21:49 Comparing values and making decisions can be difficult.

25:44 Amazon’s facial recognition tool led to racial bias in identification.

27:56 Concerns about the ethical use of facial recognition technology for law enforcement.

31:41 Designing AI with team consensus for balancing tensions

33:33 Importance of public dissent in shaping AI systems

38:16 Ethical considerations in AI predictions and system design

40:30 Need for transparency and regulation in AI research

44:29 AI systems are pattern matching tools without knowledge or facts.

46:37 Adapting education and skills for generative AI era.