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Managing AI Risks and Governance: Deepfakes, Brand Trust and Responsible AI

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0:00 / 35 minutes
35 minutes July 22, 2026

AI isn't just changing how content is created. It's also raising new risks that communicators are now expected to manage—from deepfakes and synthetic media to unchecked AI outputs, regulatory uncertainty and governance gridlock. Explore what these risks look like in practice, how responsible AI principles can guide better decisions and what comms should do when issues arise. We'll cover: Risk Reality: What deepfakes, hallucinations, misinformation,…

AI isn't just changing how content is created. It's also raising new risks that communicators are now expected to manage—from deepfakes and synthetic media to unchecked AI outputs, regulatory uncertainty and governance gridlock. Explore what these risks look like in practice, how responsible AI principles can guide better decisions and what comms should do when issues arise. We'll cover:

  • Risk Reality: What deepfakes, hallucinations, misinformation, synthetic media and AI brand risks actually look like inside real organizations.
  • Governance in Action: How to build AI policies, disclosure standards, approval workflows and responsible-use guardrails—plus the top governance blind spots and how to handle them.
  • Crisis Response: How to respond when deepfakes, misinformation, governance gridlock or regulatory uncertainty create reputational, legal or internal risk.
  • Comms as Stewards: The communicator's role in protecting brand trust, guiding responsible AI use and applying an "outcome architecture" mindset so AI adoption stays tied to clear goals, measurable progress and enterprise-wide impact.
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Speakers

  • Diya Wynn Principal, Responsible AI, Public Policy, Amazon Web Services
  • Tejas Totade Chief Technology Officer and Head of AI, Ruder Finn

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