Gumshoe: Experience Research, Strategy and Design

Field Notes · category

AI & Technology

AI-assisted work, technology and the human judgment needed to evaluate their outputs responsibly.

8 Ways to Earn Trust in AI: Beyond Promises and Disclaimers

Trust in AI requires more than ethics statements or disclaimers. This article proposes eight foundations for earning it: traceable evidence, recognizable AI involvement, constructive purpose, independent standards, professional competence, organizational credentials, shared accountability, and consumer choice. It explores how existing professional practices can inform responsible AI use, why self-reported safeguards need independent scrutiny, and where government protections and meaningful recourse matter. The central argument is practical: trust should be supported by evidence people can inspect, rather than promises they are asked to accept.

Read the field note ↗

AI Doesn't Replace Expertise. It Distributes the Frameworks Behind It.

AI can make the methods behind specialist expertise available to more people, but access to a framework is not equivalent to expert judgment. Drawing on AI-assisted design review, this article explores how specialized roles can check accessibility, responsive behavior, design-system consistency and content clarity. The opportunity is more consistent review within a shared context. The limit is equally important: simulated personas and automated findings generate questions, not proof of usability. Humans must challenge conclusions and decide what requires validation with real users.

Read the field note ↗