拥有决策:人工智能决策支持和归因差距
1Leibniz Universität Hannover, Institut für Philosophie, Im Moore 21, 30167, Hannover, Germany. jannik.zeiser@philos.uni-hannover.de.
Science and engineering ethics
|June 18, 2024
概括
人工智能 (AI) 决策支持工具通过掩盖"决策所有权"来挑战责任. 这使得在人工智能辅助的选择中反映的价值判断难以归因,重点是归因性而不是问责制.
科学领域:
- 技术的哲学技术的哲学
- 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:
- 传统的AI责任讨论集中在像机器人这样的自主系统上.
- 大多数当前的人工智能功能作为决策支持工具,为人类用户分析数据.
- 现有的框架很难为人工智能驱动的行动赋予责任.
研究的目的:
- 探索人工智能 (AI) 决策支持工具对责任构成的独特挑战.
- 在AI的背景下引入"决策所有权"的概念.
- 在人工智能辅助决策中,将归因性与问责的问题区分开来.
主要方法:
- 对有关责任及其各个方面的哲学文学进行分析.
- 检查人工智能作为决策支持工具,而不是自主代理.
- 区分人工智能提供建议与描述性信息.
主要成果:
- 人工智能决策支持工具创造了一个与"决策所有权"相关的新挑战.
- 在使用人工智能工具时,很难将价值判断归因于人类代理人.
- 主要的问题是归因性 (谁做出了价值判断),而不是问责 (谁是罪祸首).
结论:
- 人工智能决策支持工具使责任赋予复杂化,超出了传统的问责问题.
- 了解AI对决策所有权的影响对于道德AI开发至关重要.
- 挑战扩展到人工智能提供建议和简单的描述性信息.
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