Designing Fiduciary Artificial Intelligence

Designing Fiduciary Artificial Intelligence
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DOI:
10.1145/3617694.3623230
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发表时间:
2023-07
期刊:
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization
影响因子:
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通讯作者:
Sebastian Benthall;David Shekman
Sebastian Benthall;David Shekman
中科院分区:
其他
文献类型:
--
作者:
Sebastian Benthall;David Shekman

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受托人是一个受信任的代理人,有法律的义务对雇用他们的委托人保持忠诚和谨慎。当信托组织通过数字界面与用户互动时,或者通过人工智能自动化操作时,他们需要设计这些人工智能系统以符合其职责。本文综合了计算机科学和法律领域的最新工作,开发了一个设计和审计信托人工智能的程序。信托AI的设计者应该了解系统的背景,确定其主体,并评估这些主体的最佳利益。然后,设计师必须忠于这些利益,并以适当的方式谨慎行事。我们将此过程中的步骤与值得信赖的AI的维度联系起来,例如隐私和对齐。Fiduciary AI是解决与复杂技术系统交互时数据主体同意的不完整性的一种有前途的手段。
A fiduciary is a trusted agent that has the legal duty to act with loyalty and care towards a principal that employs them. When fiduciary organizations interact with users through a digital interface, or otherwise automate their operations with artificial intelligence, they will need to design these AI systems to be compliant with their duties. This article synthesizes recent work in computer science and law to develop a procedure for designing and auditing Fiduciary AI. The designer of a Fiduciary AI should understand the context of the system, identify its principals, and assess the best interests of those principals. Then the designer must be loyal with respect to those interests, and careful in an contextually appropriate way. We connect the steps in this procedure to dimensions of Trustworthy AI, such as privacy and alignment. Fiduciary AI is a promising means to address the incompleteness of data subject’s consent when interacting with complex technical systems.