InfoResearchPeer-reviewed
Building Trustworthy AI Agents
- Published
- Record updated
Summary
The article argues that personal AI assistants depend on an unfounded assumption that users can trust systems that are not yet trustworthy. It says current assistants fail predictably: they push users against their own interests, cast doubt on what users know, and cannot separate a user's present self from their past. It also states they handle incomplete, inaccurate, and partial context poorly, with no standard way to improve accuracy, correct error sources, or hold them accountable for wrong information.