对道德AI的预见
Stephen L Dorton1,2, Lauren M Ministero1, Balca Alaybek1
1Social & Behavioral Sciences Department, The MITRE Corporation, Bedford, MA, United States.
Frontiers in artificial intelligence
|August 7, 2023
概括
人工智能 (AI) 开发人员可以通过使用自然决策 (NDM) 工具更好地预测和预防伤害. 这些方法有助于识别复杂的人工智能系统中的风险,确保更可靠和更有弹性的人工智能开发.
科学领域:
- 人工智能的人工智能
- 人与计算机的交互
- 社会技术系统 社会技术系统
背景情况:
- 人工智能开发人员越来越期望能够预见并减轻人工智能创作带来的危害.
- 由于复杂的社会技术系统中出现的行为,减轻损害的困难.
- 需要强大的方法来确保AI的可信度和弹性.
研究的目的:
- 提出自然主义决策 (NDM) 原则,模型和工具,作为减轻人工智能相关危害的解决方案.
- 证明NDM工具在识别和防止人工智能的意外后果方面的适用性.
- 用预测性警务算法作为一个用例来突出NDM的有效性.
主要方法:
- 自然主义决策 (NDM) 原则和工具的应用.
- 使用NDM工具,如死前检查,以发现潜在的风险.
- 对预测性警务算法的分析,以确定导致道德伤害的因素.
主要成果:
- NDM工具非常适合应对人工智能的新兴行为挑战.
- 网络管理工具可以发现一系列合理的风险,从而导致道德上的损害.
- NDM已经被用来开发更可靠和更有弹性的AI.
结论:
- 对于AI开发人员来说,NDM提供了一个可行的框架,可以主动识别和减轻潜在的危害.
- 实施NDM工具可以导致人工智能系统避免意外的负面后果.
- 使用NDM对于负责任的AI开发至关重要,特别是在高后果领域.
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