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探索人们接受人工智能的条件,而不是基于合理叛逃的人类判断
Hitoshi Yamamoto1, Takahisa Suzuki2
1Department of Business Administration, Rissho University, Tokyo, 141-8602, Japan. hitoshi@ris.ac.jp.
人们更愿意接受人工智能 (AI) 的决定,当人工智能在复杂的社会困境中正面判断,而人类负面判断时. 这项研究探讨了人类规范分析和AI判断的接受.
科学领域:
- 社会科学 社会科学 社会科学
- 人工智能伦理学 人工智能伦理学
- 人与计算机的交互
背景情况:
- 人工智能 (AI) 整合到社会中引发了关于公众接受AI驱动决策的问题.
- 涉及不确定性的情况,例如电车问题,强调需要理解人类对人工智能的信任与人类判断.
- 在间接互惠中,合理的叛逃呈现了一个复杂的场景,个人经常避免做出道德判断.
研究的目的:
- 调查人们是否接受人工智能或人类的判断,当他们不同于合理叛逃的场景.
- 探索影响人工智能决策在道德和社会背景中的接受因素.
- 分析人类规范感知及其与人工智能在社会决策中的作用的相互作用.
主要方法:
- 进行了两项实验,重点关注间接互惠的合理叛逃.
- 向参与者介绍了人工智能和人类判断分歧的场景.
- 收集了参与者对人工智能与人类判断的评级的数据.
主要成果:
- 参与者对人工智能判断的评价比人类判断更为有利,只有当人工智能判断为正,而人类判断为负时.
- 这表明基于对AI决策的有条件接受,基于对AI与社会规范的感知一致.
- 研究结果表明,社会规范背后的感知意图影响了对AI判断的接受.
结论:
- 人们对人工智能决策的接受受到了他们对潜在社会规范的解释的影响.
- 该研究通过比较人工智能的接受与人类判断,为人类规范分析提供了新的见解.
- 了解这些动态对于将人工智能负责任地融入社会角色至关重要.
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