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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. One key aspect of adapting to human preferences is the incorporation of uncertainty into the decision-making process. Humans are inherently uncertain and subjective in their preferences, and AI systems must be able to navigate this uncertainty in order to make decisions that are truly aligned with human desires. Furthermore, adapting to human preferences requires AI systems to be transparent and interpretable. Humans must be able to understand how and why AI systems are making decisions in order to provide meaningful feedback and ensure that the system is behaving in a manner that is consistent with their preferences.- The concept of AI systems adapting to human preferences underscores the importance of designing AI systems that are aligned with human values and capable of learning and evolving in response to human feedback. By embracing this concept, we can ensure that AI systems are beneficial and aligned with what humans truly desire.
