Where Are the Conversations About Governance, Ethics, and Authenticity?

After spending the past two days participating in the AI Advantage Summit, I noticed something that mirrors a growing gap across industries and organizations: we are talking about speed, productivity, and potential, but not responsibility.

Artificial intelligence isn’t just a tool; it’s a system of influence. How we design, deploy, and oversee that system determines whether it elevates human potential or quietly erodes it. Yet, discussions about AI governance, ethical accountability, and authenticity in application remain largely absent from mainstream dialogue.

As someone who has researched the organizational integration of generative AI, I view this as the critical next phase of the conversation. Governance isn’t about slowing innovation; it’s about creating the guardrails that allow innovation to be sustainable, transparent, and trusted. Without that foundation, even the most powerful AI tools risk becoming fragmented, biased, or misaligned with human values.

If AI truly represents an advantage, shouldn’t that advantage also include integrity? I’d love to hear how others are addressing governance, ethical use, and authenticity in their AI journeys because the future of AI leadership depends on more than what we can automate. It depends on what we choose to be accountable for.

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