Framework for Responsible Enterprise AI Governance
- Mark Miller
- 1 day ago
- 2 min read
As AI rapidly reshapes business landscapes, many organizations face a critical challenge: how to harness AI's transformative potential without compromising ethics, governance, or long-term sustainability. In this session, David Roldán Martínez presents a pragmatic, layered framework for Responsible Enterprise AI Governance, derived from his book Responsible Enterprise AI: A Quick Guide for Adoption. Grounded in real-world experience and strategic insight, this talk offers leaders a structured way to align AI initiatives with business goals while ensuring ethical standards and operational resilience.
Focusing on three interconnected layers—Strategy, Tactics, and Operations—David will explore how to build an AI governance model that scales, adapts, and delivers tangible value. Participants will walk away with a clear understanding of how to move beyond abstract principles and implement practical, enterprise-grade AI governance tailored to their organization’s maturity and ambitions.
Three Key Takeaways from Framework for Responsible Enterprise AI Governance
A scalable framework to align AI strategy with business objectives, risk appetite, and regulatory environments.
Actionable governance principles that move beyond compliance to drive trust, transparency, and performance.
Guidance for operationalizing AI in ways that are sustainable, ethical, and adaptable across teams and technologies.
David's session, "Framework for Responsible Enterprise AI Governance, will be streamed globally September 16-17, 2025 as part of The Artificial UnIntelligence Conference.
About David Roldán Martínez
David Roldán Martínez is a global thought leader in Artificial Intelligence, Digital Transformation, and the API Economy, with more than 25 years of experience helping organizations drive innovation responsibly. He is the Global CTO of IWIB4AI Think Tank and serves on the board of Women in GenAI at The Generative AI Association. David’s work focuses on scalable, ethical AI adoption, balancing innovation with governance to help enterprises unlock real value from AI.
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