Essay.08-DuJiang-2201111784
Keywords: leveraging preferences, observational inference
Abstract: This essay examines prominent methods for understanding human utility. Each method offers unique insights, from leveraging preferences to learning from human feedback and observing behaviors. Challenges in generalization, data intensity, and interpretational complexities are identified. Balancing these considerations is crucial in constructing robust computational frameworks for human utility estimation, fostering AI systems aligned with human values and preferences.
Submission Number: 172
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