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Bridging the Gap in the EU AI Act: From High-level AI Principles to Technical Compliance

Exclusive Insights from the AI House Davos about AI Safety and Compliance

LatticeFlow AI hosted an exclusive roundtable at the AI House during WEF 2025, bringing together a distinguished panel of thought leaders, including Prof. Yoshua Bengio, AI industry pioneers and business leaders from financial services and manufacturing. This session tackled one of the most pressing questions in AI today: “How can enterprises ensure their AI systems are not only innovative and safe but also aligned with use case-specific requirements, industry standards, and external regulations?“

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Highlights from the Session

Speakers

Prof. Andreas Krause (Moderator)

Full Professor ETH Zurich, Director ETH AI Center, Co-founder LatticeFlow AI

Prof. Dawn Song

Professor
at UC Berkeley

Prof. Yoshua Bengio

Turing Award Laureate, Founder and Scientific Director
at Mila – Quebec AI Institute

Konstantin Rubinov

Head of CRO Strategic Data and Architecture at Julius Bär

Dr. Matthias Bossardt

Partner and Head of Cyber & Digital Risk Consulting at KPMG

Dr. Peter Mattson

Founder and President
at MLCommons

Dr. Sean Kask

Chief AI Strategy Officer
at SAP

Tiphanie Bent

IT Governance Officer
at SIX

Tom David

Co-Founder & Director of Governance and Standardization
at PRISM Eval

Franziska Weindauer

Chief Executive Officer
at TÜV AI.Lab

Prof. Martin Vechev

Full Professor ETH Zurich, Founder and Scientific Director of INSAIT, Co-founder LatticeFlow AI

Dr. Petar Tsankov

CEO and Co-Founder
at LatticeFlow AI

Testimonials

Quotes

We´d like to see more transparency in AI risk management: how companies evaluate risks, and implement mitigation measures.

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Prof. Yoshua Bengio

Turing Award Laureate, Founder and Scientific Director at Mila – Quebec AI Institute

Key Takeaways

Watch the recording to learn:

  • How enterprises are proactively establishing AI governance frameworks to mitigate risks, ensure ethical AI use, and comply with regulations like the EU AI Act.

  • Best practices and strategies to align high-level AI principles with technical controls that address compliance challenges, mitigate risks, and build trustworthy AI systems.

  • The critical role of safety benchmarks in ensuring AI systems are reliable, compliant, and aligned with emerging frameworks amidst rapid technological advancements.

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