The theme of the Artificiality Summit 2026 is Unknowing. We start with five speakers—David Wolpert, Caleb Scharf, Wakanyi Macharia-Hoffman, Gašper Beguš, and Nina Beguš—whose work converges on a single finding: the uncertainty surrounding AI is permanent, not a phase.
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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Dave Edwards is a Co-Founder of Artificiality. He previously co-founded Intelligentsia.ai (acquired by Atlantic Media) and worked at Apple, CRV, Macromedia, Morgan Stanley, Quartz, and ThinkEquity.
Helen Edwards is a Co-Founder of Artificiality. She previously co-founded Intelligentsia.ai (acquired by Atlantic Media) and worked at Meridian Energy, Pacific Gas & Electric, Quartz, and Transpower.
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The AI Adaptation Cube maps, in three dimensions, the roles we put AI in based on the three traits: Cognitive Permeability, Symbolic Plasticity, and Identity Coupling.
AI usage is too complex for any single research approach to capture completely. We summarize and compare three recent studies: Anthropic's Economic Index Report, OpenAI's How People Use ChatGPT, and the Artificiality Institute's Chronicle project.