Shaping how AI is built, trusted, and used globally. This is your chance to work alongside the greatest minds in AI engineering and policy.
New York - AI Trust Forum
The AI Trust Forum is special.
It brings together brilliant thinkers, innovators, policymakers, and practitioners to learn, build relationships, and work together personally solving AI engineering, business, legal and ethical challenges at retreats held in cities around the world. That’s why we call it a “Forum”, not a “Conference”.
What happens at the Forum?
Keynotes
Visionary sessions from global leaders framing the most pressing engineering, business, legal, and ethic issues in AI to spark strategic insight and set the agenda.
Open Working Sessions
Small group collaboration tackling specific challenges in AI alongside leaders in the space. Participants ideate, whiteboard, and contribute to publicly shareable work.
Town Halls
Expert-led open discussion where attendees interrogate pressing topics, exchange diverse perspectives, and brainstorm possible courses of action.
Symposium Sessions
Presentation showcasing original research, innovative practice, or notable case studies that attendees can use in their work building Trustworthy AI back home.
See our website for more information about this event: AITrustForum
Click to register your interest, and secure your place at this unmissable forum.
Agenda is subject to change
Speakers
Dona Sarkar - Keynote
Avishan Bodjnoud - Keynote
Chris Huntingford, Center for Trustworthy AI
Chief AI Officer, Keynote Speaker, Published Author, Fast Track Recognised Solution Architect
Andrew Welch, Center for Trustworthy AI
Trustworthy AI , Cloud Strategist, Author
Ana Welch, Center for Trustworthy AI
Partner and CTO at Cloud Lighthouse, CTO for Center for Trustworthy AI
Arnav Gupta, Damco Solutions
Vice President, Technology at Damco
Good to know
Highlights
- 8 hours
- In-person
- Doors at 8:15 AM
Location
Microsoft
11 Times Square
New York, NY 10036
How do you want to get there?
Agenda
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Opening Keynote
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AI Diligence in Transactions and Steady State
AI diligence frameworks are now published and in active use. What will be asked is knowable in advance. Whether your organization can answer is not. This session covers what serious questioners demand across proprietary AI, third-party AI, deployment, training data, and generative outputs. In a transaction, those answers move valuation, deal structure, and risk allocation. But the deal is only the most concentrated form of a pressure that never stops: procurement questionnaires, insurer underwriting, board fiduciary exposure, and the diligence every organization performs when it buys AI. Two findings transfer everywhere. Absence of evidence is itself a finding. Interviews reveal more than documents. Everything a serious questioner asks for is either an artifact a well-run AI program produces, or evidence that no such program exists. Leave with the questions you'll be asked, an honest read on what you can answer with evidence, and a structure for questioning your own vendors.
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AI Strategy Trends from Real Orgs in 15+ Countries
Neither a market forecast nor a vendor's view of the world. This is what has actually been observed leading this work with organizations across more than fifteen countries and six sectors: where the money is going, where it is being wasted, which capabilities reliably separate the organizations pulling ahead, and how the picture differs by region and by sector. It draws on maturity assessments run against five pillars and twenty-five dimensions, so the patterns are measured rather than anecdotal. Expect some uncomfortable findings, among them the averaged-score trap, where visible strength in a few dimensions conceals weakness in the ones carrying real weight. And expect the aggregate answer, which is that nearly every organization in the world still sits somewhere between reactive and proactive, whatever its press releases say. What attendees leave with: a candid benchmark against peer organizations, and a sharper sense of which current investments are load-bearing.