Trust, Trustworthiness, and Assurance of AI and Autonomy

April, 2021
IDA document: D-22631
FFRDC: Systems and Analyses Center
Type: Documents
Division: Science and Technology Division , Science, Systems and Sustainment Division
David M. Tate See more authors
The importance of “trust” in artificial intelligence and autonomous systems (AIAS) is widely touted, but not necessarily in productive ways. This paper argues that discourse about the importance of trust can obscure more than it illuminates, misleadingly suggesting similarities (and common solutions) across fundamentally unrelated challenges. In particular, it is important to distinguish whose trust is required, and whether that trust is subjective or objective. The paper also pushes back against the idea that trust can be “built in” as a property of the AIAS.