Unraveling the Enigma of Judging AI’s Moral Cognition

Published on August 9, 2023

Trying to compare moral cognition in artificial and human agents is like comparing apples and oranges. Human moral judgment is often based on things like intention, which may not have a direct counterpart in AI. So how can we measure moral behavior in both? Researchers delve into the complexity of this question, exploring examples in reinforcement learning and generative AI. However, the puzzle of evaluating moral cognition in artificial agents remains unsolved. As cognitive science continues to investigate this fascinating topic, it raises intriguing possibilities for understanding the boundaries of AI ethics and our own humanity. Dive deeper into this captivating research to unlock the secrets of moral reasoning in AI!

Abstract
In developing artificial intelligence (AI), researchers often benchmark against human performance as a measure of progress. Is this kind of comparison possible for moral cognition? Given that human moral judgment often hinges on intangible properties like “intention” which may have no natural analog in artificial agents, it may prove difficult to design a “like-for-like” comparison between the moral behavior of artificial and human agents. What would a measure of moral behavior for both humans and AI look like? We unravel the complexity of this question by discussing examples within reinforcement learning and generative AI, and we examine how the puzzle of evaluating artificial agents’ moral cognition remains open for further investigation within cognitive science.

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