AI Rebel Agents

Author:

Coman Alexandra,Aha David W.

Abstract

The ability to say "no" in a variety of ways and contexts is an essential part of being socio-cognitively human. Through a variety of examples, we show that, despite ominous portrayals in science fiction, AI agents with human-inspired noncompliance abilities have many potential benefits. Rebel agents are intelligent agents that can oppose goals or plans assigned to them, or the general attitudes or behavior of other agents. They can serve purposes such as ethics, safety, and task execution correctness, and provide or support diverse points of view. We present a framework to help categorize and design rebel agents, discuss their social and ethical implications, and assess their potential benefits and the risks they may pose. In recognition of the fact that, in human psychology, non-compliance has profound socio-cognitive implications, we also explore socio-cognitive dimensions of AI rebellion: social awareness and counternarrative intelligence. This latter term refers to an agent's ability to produce and use alternative narratives that support, express, or justify rebellion, either sincerely or deceptively. We encourage further conversation about AI rebellion within the AI community and beyond, given the inherent interdisciplinarity of the topic.

Publisher

Association for the Advancement of Artificial Intelligence (AAAI)

Subject

Artificial Intelligence

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Intelligent Disobedience;Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction;2023-03-13

2. Only Those Who Can Obey Can Disobey: The Intentional Implications of Artificial Agent Disobedience;Autonomous Agents and Multiagent Systems. Best and Visionary Papers;2022

3. Purposeful Failures as a Form of Culturally-Appropriate Intelligent Disobedience During Human-Robot Social Interaction;Autonomous Agents and Multiagent Systems. Best and Visionary Papers;2022

4. An AI Ethics Course Highlighting Explicit Ethical Agents;Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society;2021-07-21

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