Research Update: Trust & AI

Our March update focused on our obsession with trust and AI. the premise of our interest is that in order for AI to be useful, we need to know if/when to trust it.

In our update, we covered four key topics:

• Why trust in AI is an important topic. Automation bias means we can be primed to rely on and trust in AI beyond what we should.
• Trust in AI as a technology. Trust underpins everything about real-world value of AI. We discussed trustworthiness across 8 dimensions and trust in AI across populations and perspectives.
• Trust in AI companies. Each major AI company has different strategies, innovations, and weaknesses related to trust.
• Trust in AI as a partner. Trust is multi-faceted from relying on someone or something to be capable, aligned, and predictable to trusting someone or something to be ethical, empathetic, and vulnerable.