As artificial intelligence moves from experimentation into real operational and decision-making roles, many organizations are discovering that technical capability alone is not enough to ensure safe, trusted, and agile adoption at scale.

This live briefing introduces Human-Attuned AI — a governance discipline focused on how AI systems interact with human context, cognitive load, emotional state, and risk once deployed into real-world environments. By embedding governance as core infrastructure, Human-Attuned AI enables organizations to move faster after deployment while maintaining accountability, trust, and psychological safety.

What You’ll Learn

In this session, we will cover:

• Why AI enablement often fails after tools are installed — and how missing governance infrastructure slows adoption, erodes trust, and creates operational friction

• How Human-Attuned AI reframes governance beyond policy and compliance, enabling leaders to adapt systems quickly as conditions, risks, and use cases evolve

• What leaders need to understand about escalation, accountability, and psychological safety when AI enters real decision-making loops — and how these mechanisms support agility rather than constrain it

• How to think about AI governance as infrastructure, not ethics add-ons or post-incident controls, so organizations can scale AI responsibly under compressed timelines

• Practical considerations for leading AI adoption across teams, workflows, and institutions, including how to govern change, iteration, and failure without collapsing trust

• Live Q&A with participants

Who This Is For

• Senior leaders and executives

• Government and public sector decision-makers

• Enterprise leaders responsible for AI adoption or oversight

• Policy, risk, compliance, and governance professionals

• Anyone tasked with deploying AI responsibly and adapting quickly at scale