ICGI Series #03 Align AI Governance to HI Accountability

ICGI Series #03
Align AI Governance to HI Accountability

Here are 5 key points summarizing the transcript:

1. I discuss aligning AI governance with human intelligence (HI) accountability, emphasizing the need to balance quantitative AI elements with qualitative human knowledge and decision-making.
2. Four categories of AI are mentioned: reactive machines, AI with limited memory, theory of mind, and self-awareness, with concerns raised about the risks of AI with limited memory.
3. The importance of maintaining human control over AI systems is stressed, particularly in corporate settings where standards, codes of conduct, and risk management are crucial.
4. The concept of "self-governance" is introduced as a critical aspect of both human and AI systems, relating to individual responsibility and ethical decision-making.
5. I propose a governance framework (FEC report) that includes both quantitative and qualitative elements, suggesting a structure for managing large workforces and maintaining accountability in AI development and implementation.