AI systems should adapt to human preferences from "summary" of Human Compatible by Stuart Russell
The central idea behind ensuring the beneficial alignment of AI systems with human preferences lies in the recognition that humans are the ultimate arbiters of what is good or bad. By adapting to human preferences, AI systems can navigate the complex landscape of values and make decisions that are aligned with what humans desire.
In order to achieve this alignment, AI systems must be designed in a way that allows them to understand and learn from human feedback. This feedback serves as a crucial signal for the AI system to adjust its behavior and decision-making processes in a manner that reflects human preferences.
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