人工智能 (AI) 信任框架和成熟度模型:应用透镜来改善安全,隐私和道德AI
Michael Mylrea1, Nikki Robinson2
1Department of Computer Science & Engineering, Institute of Data Science and Computing, University of Miami, Coral Gables, FL 33146, USA.
Entropy (Basel, Switzerland)
|October 28, 2023
概括
本研究介绍了一个AI信任框架和成熟度模型,使用"透镜"来提高对人工智能系统的透明度和信任,特别是"黑子"模型. 它旨在改善道德的人工智能管理和人机协作.
科学领域:
- 计算机科学 计算机科学
- 信息理论 信息理论
- 人工智能伦理学 人工智能伦理学
背景情况:
- 人工智能的快速发展需要强有力的伦理,道德和法律保障.
- 目前对人工智能安全和隐私的指标对于道德的人工智能管理是不够的.
- 缺乏透明度 缺乏透明度
- 黑盒子是一个黑盒子.
- 人工智能系统阻碍了信任和道德监督.
研究的目的:
- 提出人工智能信任框架和成熟度模型,以增强对人工智能系统设计和管理的信任.
- 开发用于评估AI安全,隐私和道德表现的指标.
- 提高对人工智能的透明度和信任,特别是在复杂的人机系统中.
主要方法:
- 使用了一个使用了一个.
- 透镜的透镜是什么?
- 根植于信息理论,以分析人工智能系统.
- 开发了一个成熟度模型来评估AI信任.
- 将框架应用于两个用于验证的用例.
主要成果:
- 拟议的框架提高了对人工智能系统的透明度和信任.
- 这是一个很棒的节目,这是一个很棒的节目.
- 透镜的透镜是什么?
- 为人工智能信任提供了可量化的衡量标准.
- 通过框架,在人机团队中表现出更好的信任和表现.
结论:
- 人工智能信任框架和成熟度模型提供了一种新的方法,以道德管理人工智能.
- 通过来量化人工智能信任可以优化自主系统和团队的性能.
- 该框架通过实际使用案例进行验证,显示其在AI设计和管理中的实用性.
关键词:
一般的人工智能 (AGI)自主的人机团队和系统 (A-HMT-S)网络安全 网络安全进入的过程中,伦理的人工智能可解释的人工智能 (XAI)信息理论信息理论隐私 隐私 隐私 隐私 隐私 隐私恢复力 恢复力值得信赖的AI 值得信赖的AI更多相关视频
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