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World Congress 2022 • Jun 15, 2022

Model Governance and Explainable AI as tools for legal compliance and risk management

Kilian Kluge , Isabel Bär

Meeting AI compliance isn't just a legal necessity; it is a concrete engineering problem. Learn how uniting MLOps with explainable AI protects your high-risk models from costly errors.

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Matching moments

1:59 min

Explainability requirements for AI in regulated industries

Murli Mohan Srinivas Murli Mohan Srinivas · Europe 2026 Virtual

3:03 min

Addressing liability and governance in AI models

Christian Heilmann Christian Heilmann +1 · World Congress 2026 North America

3:07 min

Enterprise challenges in compliance and generative AI operations

Daniel Tao +3 · World Congress 2024

2:55 min

Assessing the impact of new artificial intelligence regulations

Constantijn Van Oranje · World Congress 2024

1:25 min

Applying compliance frameworks and auditing logic to AI applications

Maish Saidel-Keesing Maish Saidel-Keesing · World Congress 2025

1:11 min

Enforcing human-in-the-loop governance for AI-generated models

Marcin Makowski Marcin Makowski · World Congress 2026 Europe

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Upcoming sessions on this topic

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