在人工智能中评估道德认知的难题
Madeline G Reinecke1,2, Yiran Mao1, Markus Kunesch1
1Google DeepMind.
Cognitive science
|August 9, 2023
概括
将人工智能 (AI) 与人类的道德认知进行比较是具有挑战性的. 像意图这样的无形的人类特征缺乏直接的人工智能类型,使类似的道德行为评估复杂化.
科学领域:
- 认知科学 认知科学
- 人工智能伦理学 人工智能伦理学
- 人与人工智能的互动
背景情况:
- 将人工智能 (AI) 与人类表现进行比较是常见的.
- 评估AI的道德认知需要将其与人类的道德判断进行比较.
- 人类的道德判断依赖于像意图这样的抽象概念,这给比较带来了挑战.
研究的目的:
- 探索比较人工智能和人类道德认知的可行性.
- 研究测量人类和人工智能道德行为的复杂性.
主要方法:
- 讨论了强化学习和生成AI的例子.
- 检查了设计道德认知相似比较的挑战.
主要成果:
- 人类和人工智能道德行为之间的直接,相似的比较是困难的.
- 人类无形的道德属性在人工制剂中缺乏明确的类比.
结论:
- 评估人工智能代理人的道德认知提出了重大挑战.
- 需要在认知科学中进行进一步的研究,以解决AI的道德评估.
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