Examining Neural Representations of Moral Responsibility in Human Judgments of Artificial Intelligence Agents Performing High-Stakes Tasks
Keywords:
Neural representations, moral responsibility, AI agents, high-stakes tasks, fMRI, ethical AI, responsibility attribution, decision-making, AI ethics, human-robot interactionAbstract
This study explores how human judgments of moral responsibility are influenced by neural representations when interacting with artificial intelligence (AI) agents performing high-stakes tasks. High-stakes tasks, such as autonomous vehicles or healthcare robots, introduce moral dilemmas that require human decision-makers to assess responsibility. We aim to understand the neural mechanisms that underlie these judgments and examine the implications for AI ethics. Using a combination of fMRI studies and psychological experiments, the research analyzes how participants attribute responsibility to AI agents in scenarios that involve life-or-death decisions. Our results show that neural responses in the prefrontal cortex and the temporal-parietal junction correlate with moral decision-making processes involving AI agents. These findings contribute to the discourse on the ethical use of AI in high-stakes settings and provide insights for designing ethically responsible AI systems.
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