Summary of Building Altruistic and Moral Ai Agent with Brain-inspired Affective Empathy Mechanisms, by Feifei Zhao et al.
Building Altruistic and Moral AI Agent with Brain-inspired Affective Empathy Mechanisms
by Feifei Zhao, Hui Feng, Haibo Tong, Zhengqiang Han, Enmeng Lu, Yinqian Sun, Yi Zeng
First submitted to arxiv on: 29 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper addresses the challenge of ensuring AI decision-making is safe, altruistic, and aligned with human values. Existing approaches based on principles and rules are insufficient for long-term stability and generalization. The authors propose an alternative approach that leverages human-like affective empathy mechanisms to autonomously drive intelligent agents to acquire morally behaviors. They draw inspiration from the neural mechanism of human brain’s moral intuitive decision-making, simulating the mirror neuron system to construct a brain-inspired affective empathy-driven altruistic decision-making model. The proposed model integrates intrinsic empathy and extrinsic self-task goals, enabling the agent to make consistent moral decisions prioritizing altruism over self-interest. Experimental results verify the positive correlation between empathy levels and altruistic preferences, yielding conclusions consistent with findings from psychological behavioral experiments. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about making sure AI makes good choices that align with human values. Right now, AI systems don’t have a strong sense of empathy or morals, which can lead to problems if they make decisions without considering how their actions affect others. The authors suggest using human-like emotions like empathy to help AI systems learn to make better choices. They propose an AI model that simulates how humans make moral decisions and uses this to guide the AI’s decision-making process. The results show that this approach helps the AI prioritize helping others over its own interests. |
Keywords
» Artificial intelligence » Generalization
