Framework for Responsible Enterprise AI Governance

In this insightful talk, David Roldán Martínez, Global CTO of IB4AI, presents a pragmatic and research-driven approach to building responsible AI governance inside enterprise organizations. Drawing from his PhD work, David introduces the Ethos Framework — a layered, holistic model designed to help companies implement AI ethically, transparently, and sustainably.

He begins by outlining why AI governance is lagging behind adoption — complexity, lack of regulation, and organizational silos have slowed progress. He then distinguishes AI governance from traditional IT governance, explaining that AI’s dependence on distributed data, automation, and human oversight requires a fundamentally different structure.

Through his concept of layering, inspired by models like TCP/IP, David shows how organizations can simplify complex ethical and operational challenges without oversimplifying the governance problem. The result is a proactive, integrated framework that unites technical, regulatory, and moral dimensions — moving beyond compliance toward responsible intelligence.

🔹 Key Topics:

Why AI governance differs from IT governance

Ethical and regulatory gaps in current frameworks

The “layering” model for simplifying AI complexity

Human accountability and moral responsibility in AI systems

The Ethos Framework for responsible enterprise adoption