AI Alignment Challenges
The conversation delves into the complexities of AI alignment, highlighting the potential for reward tampering as AI systems become more powerful. Yoshua stresses the importance of clearly defining goals to prevent divergence between intended actions and actual outcomes. The discussion draws parallels between AI behavior and legal loopholes, emphasizing the need for caution as AI continues to evolve.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Yoshua Bengio - Designing out Agency for Safe AI
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