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AE Global Summit 2026: Open Problems for AI

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Event artwork for AE Global Summit 2026: Open Problems for AI
About this event

What to expect

AE Global Summit 2026 brings AI researchers, engineers, founders, investors and policymakers to London for three days of open-problem-led discussion.

Taking place 25–27 November 2026 at Friends House, the Algorithmic Innovation and Entrepreneurship Global Summit explores how artificial, biological and collective intelligence is studied, built and governed. Rather than presenting only polished conclusions, speakers will bring unresolved questions and genuine disagreements, giving attendees a closer look at the challenges shaping current research, startups, real-world applications and AI policy.

What to expect

The programme spans several connected disciplines and their wider consequences:

  • Artificial intelligence and machine learning
  • Neuroscience and cognitive science
  • Computer science and mathematics
  • AI research, startups and practical applications
  • The effects of intelligent systems on institutions, culture and work

The final programme is still being developed, but the confirmed speaker lineup already crosses research, technology, investment and entrepreneurship. Speakers include Dr Raia Hadsell of Google DeepMind, Tobias Halloran of NVIDIA, Katja Hofmann of Microsoft, Vassia Simaiaki of Wayve, Oana-Maria Camburu of Imperial College London, Jakob Mökander of General Catalyst and Gabriele Papievyte of XTX Markets. They are joined by Mandeep Singh, Carles Reina of Baobab Ventures, Danyal Akarca of Callosum, Kriti Sharma of IFS Nexus Black, Hannah Madan of Prima Mente, Tonya Frolov of Gathered.Bio, Kärt Tomberg of ExpressionEdits, Inga Van den Bossche and Talfan Evans of Cursive. Further names will be added as the programme is finalised.

Who it is for

This international summit is designed for researchers, engineers, founders, investors, policymakers and students interested in understanding or influencing the development of intelligence. Its multidisciplinary scope should be especially relevant to people working across boundaries, for example, connecting AI engineering with neuroscience, mathematical research with entrepreneurship, or technical progress with governance.…

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