中间判断和对人工智能支持的决策的信任
1Department of Information Sciences, Naval Postgraduate School, Monterey, CA 93943, USA.
Entropy (Basel, Switzerland)
|June 26, 2024
概括
对人工智能 (AI) 建议的中间判断增强了信任,但可能导致人类决策中的概率违规行为. 了解这些人与人工智能的交互动态对于有效的人工智能集成至关重要.
科学领域:
- 认知科学 认知科学
- 人与计算机的交互
- 人工智能伦理学 人工智能伦理学
背景情况:
- 人工智能 (AI) 系统越来越多地被整合到各种领域的人类决策过程中.
- 人类对人工智能输出的合理化对于有益的结果至关重要.
- 之前的研究表明,中间判断可能会影响后续决策.
研究的目的:
- 调查中间判断对人工智能在人类决策中的建议的影响.
- 检查这些判断如何影响信任和决策一致性.
- 探索量子概率理论在模拟人类-人工智能交互动态中的应用.
主要方法:
- 一个在线实验与192名参与者进行.
- 参与者做出了涉及人工智能提供的建议的决定.
- 在不同的时间间隔中,中间判决被系统地变化.
主要成果:
- 对于那些做出中间判断的参与者来说,观察到对信任的持续增强效应.
- 违反总概率发生在所有时间间隔.
- 量子概率理论有效地模拟了观察到的人类-人工智能决策行为.
结论:
- 对人工智能建议的中间判断可以增强信任,但可能引入认知偏见.
- 了解这些偏见是优化人类-人工智能合作的关键.
- 量子概率为分析复杂的人类-人工智能交互动态提供了一个框架.
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