
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.
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Interested in talking more about how we might help your organization navigate the new worlds of AI and complex change? Set up time for a chat with us here.
































