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Trustworthy AI in Practice: Scaling Innovation with Governance & Operations

An invite-only event co-hosted by ETH AI Center and LatticeFlow AI.

Learn how industry leaders are turning AI governance into operational reality, scaling innovation with control, clarity, and trust.

Introduction

From AI Principles to Real-World Enterprise Control

AI programs stall when governance isn't actionable. Risk frameworks remain abstract. Technical teams lack clear guidance. Business leaders can't prove control.

This event brings together senior leaders from across the AI lifecycle to address these gaps head-on. Through expert talks, a real-world case study, and a high-level panel, you'll gain clear insights into how leading organizations are operationalizing AI governance to make trust measurable, risks manageable, and innovation scalable.

▶️ Event Preview

Why You Should Watch It

Learn how leading organizations are operationalizing AI governance across high-impact use cases like chatbots, decision support, and internal automation.

Designed for AI and governance, risk, and compliance (GRC) leaders, this event focuses on the real-world challenges of deploying generative and traditional AI systems in complex, regulated environments.

You'll gain practical insights on:

Translating governance frameworks into technical controls

Aligning risk, compliance, and AI teams around shared goals

Scaling AI innovation with clarity, trust, and control

Speakers

Dr. Imanol Schlag

Dr. Imanol Schlag

Technical Lead for Large Language Model Development at Swiss AI Initiative

Imanol Schlag is co-leading the Swiss AI Initiative's Large Language Model effort with Professors from EPFL. Before joining the ETH AI Center, he was a PostDoc at ETH and a PhD student at USI/IDSIA. His doctoral research focused on Artificial Intelligence via connectionist models, encompassing innovative, scalable neural network designs. Some of these were created during his time at Microsoft, Google, and Meta.

Dr. Pavol Bielik

Dr. Pavol Bielik

CTO and Co-Founder at LatticeFlow AI

Pavol earned his PhD at ETH Zurich, specializing in machine learning, symbolic AI, synthesis, and programming languages. His groundbreaking research earned him the prestigious Facebook Fellowship in 2017, representing the sole European recipient, along with the Romberg Grant in 2016. Following his doctorate, Pavol's passion for ensuring the safety and reliability of deep learning models led to the founding of LatticeFlow AI.

Dr. Petar Tsankov

Dr. Petar Tsankov

CEO and Co-Founder at LatticeFlow AI

Petar is the co-founder and CEO of LatticeFlow AI. He holds a PhD from ETH Zurich, where he developed the first scalable frameworks for verifying the safety of deep neural networks, work that earned him the John Atanasoff Prize. Previously, he co-founded ChainSecurity, a leader in smart contract security, acquired by PwC. Under his leadership, LatticeFlow AI has received multiple awards, including the Swiss AI Award and recognition on the CB Insights AI100 list.

Mauricio Moncada

Mauricio Moncada

Industry Collaborations Coordinator

Mauricio serves as the Industry Collaborations Coordinator at the ETH AI Center. He works closely with our researchers, industry partners, and affiliated startups, aiming to bridge the gap between cutting-edge AI research and real-world innovation.

He has a Master's Degree in Management and Economics from the University of Zurich, where he wrote his Master's thesis on competition policy and AI regulation. Mauricio is deeply passionate about AI policy and the transformative effect of AI on society.

Matthias Bossardt

Dr. Matthias Bossardt

Partner and Head of Cyber & Digital Risk Consulting at KPMG

With over 26 years of cybersecurity expertise, Matthias leads KPMG's Trusted AI Practice, helping organizations manage AI risks and build robust governance frameworks.

Adrian Ott

Adrian Ott

Forensic Partner, Chief Artificial Intelligence Officer | EY Switzerland

Adrian is EY Switzerland's Chief Artificial Intelligence Officer and a forensic partner with over 15 years of experience in digital innovation, solution design, and AI. He previously led EY’s Forensic and Integrity Services team, focusing on compliance and investigation-related generative AI use cases. Before joining EY in 2017, Adrian built and led the Digital Forensics department at the Swiss Federal Prosecutor's Office.

Dra. Naya Giannakopoulou

Dr. Naya Giannakopoulou

Senior Technical Architect at Microsoft Innovation Hub

Naya is a Senior Technical Architect at Microsoft Innovation Hub Switzerland, where she leads workshops for AI transformation projects of strategic Swiss enterprises. She works with customers and partners from envisioning to prototyping, bridging business needs with technical implementation. An advocate of Trustworthy AI, Naya focuses on designing, building, and deploying AI and LLM workloads in a scalable and trustworthy way. Her international career spans Big Tech, IT consulting, fintech, and academic research.

Agenda

17:00

Welcome Remarks

ETH AI Center & LatticeFlow AI

17:15

Insights from the Swiss AI Initiative.

Dr. Imanol Schlag, Co-Leader Swiss LLM at the Swiss AI Initiative

17:30

Enterprise-Scale AI Deployment

Dr. Naya Giannakopoulou, Senior Technical Architect at Microsoft Innovation Hub

17:45

The Auditor's Role in AI Risk

Adrian Ott, Chief AI Officer, EY Switzerland

18:00

Case Study: Operationalizing AI Governance at Scale

Dr. Petar Tsankov, CEO and Co-Founder at LatticeFlow AI

Angela Carpintieri, Head Analytics & Transformation

18:30

Panel: Where Trust Breaks in the AI Lifecycle

Dr. Imanol Schlag, Swiss AI Initiative

Dr. Matthias Bossardt, Head of Cyber & Digital Risk, KPMG

Dr. Pavol Bielik, CTO and Co-Founder at LatticeFlow AI

Moderated by ETH AI Center

19:15

Networking & Cocktail

20:00

End

Access the Recording

The session was a full house, with inspiring discussions on how to make AI governance truly operational across use cases and organizations.

Request access to the full event recording to get all the insights from the sessions.