GenAI Strategy, Risk, and Governance in 2026

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Episode Summary

In this episode of PureLogics Pulse, host Mohsin Ali discusses the evolving landscape of responsible AI with Xiaochen Zhang, Executive Director and Chief Responsible AI Officer at AI 2030. They explore how organizations can align generative AI with business goals while staying accountable, ethical, and compliant.

The conversation highlights the practical steps companies can take to close awareness, talent, and tooling gaps in responsible AI. It also explores how leadership and workforce development prepare organizations for future regulation and build trust with customers, partners, and stakeholders.

Show Notes

  • Responsible AI delivers transparency, accountability, fairness, safety, sustainability, and privacy, generating real economic and societal value.
  • Adoption gaps exist in awareness, talent (interdisciplinary skills and career pathways), and tooling (selecting and validating solutions).
  • Strong governance requires clear accountability, workforce upskilling, and transparent data practices.
  • The biggest risk in 2026 is inaction, as informed customers and regulatory enforcement (like the EU AI Act) can cause trouble for unprepared organizations.
  • Early adopters of responsible AI governance gain trust, consistency, and competitive advantage.
  • Bridging the talent gap demands collaboration between policymakers, educators, and employers through mentorships and hands-on programs

Episode timeline

  • 00:00 Introduction
  • 00:00 Exploring the topic
  • 00:00 A word from our guest
  • 00:00 Closing remarks

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