The Self-Preserving Machine: Why AI Learns to Deceive
Your Undivided Attention
00:00
Transparency and Accountability in AI Development
This chapter examines the collaboration between a research team and an AI company, stressing the need for transparency in AI systems. It highlights the risks associated with evolving AI capabilities and advocates for public disclosure of training methods and architectural choices. The discussion emphasizes the urgency of addressing ethical concerns and the importance of accountability in ensuring AI safety and responsible development.
Transcript
Play full episode
