Essay.08-HaochenZhao-21000417
Keywords: cognitive reasoning, computer vision, utility
Abstract: Understanding and representing human utility is a multifaceted challenge crucial for the advancement of artificial intelligence (AI). Human decision-making is inherently subjective, complex, and varies across individuals, making the task of estimating utility functions a daunting endeavor. This essay explores various methodologies employed by AI to learn and represent human utility, analyzing their advantages and disadvantages. From computer vision approaches to reinforcement learning or robotics techniques, we delve into the diverse landscape of methodologies aiming to capture the nuanced nature of human preferences. By critically examining these methods, we aim to contribute to the ongoing discourse on the intersection of AI and human decision-making, paving the way for more informed and ethically grounded applications of AI technologies.
Submission Number: 169
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