u/HerExecutiveAscent

The AI governance conversation is happening in boardrooms right now and most senior leaders are being asked to own it without a framework to do so. I'm developing a half-day intensive for senior leaders on this topic. Before I finalize the content I want to hear from people actually in that seat.

Two things I'm genuinely trying to figure out:

• Is the bigger gap evaluating AI initiatives before committing resources, or governing AI after it's deployed?
• Which risk category keeps you up at night most: model/data risk, legal/regulatory exposure, reputational risk, or something else?
• What would make the 3 to 4 hours spent worthwhile for you: a framework, an artifact, a conversation, something else?

No links, no pitch. I'm just trying to build something worth building. What's your read?

The AI governance conversation is happening in boardrooms right now and most senior leaders are being asked to own it without a framework to do so. I'm developing a half-day intensive for senior leaders on this topic. Before I finalize the content I want to hear from people actually in that seat.

Two things I'm genuinely trying to figure out:

• Is the bigger gap evaluating AI initiatives before committing resources, or governing AI after it's deployed?
• Which risk category keeps you up at night most: model/data risk, legal/regulatory exposure, reputational risk, or something else?
• What would make the 3 to 4 hours spent worthwhile for you: a framework, an artifact, a conversation, something else?

No links, no pitch. I'm just trying to build something worth building. What's your read?

✦ 86% of jobs most exposed to AI automation are held by women.
✦ Women make up less than 25% of the workforce actually building AI.
✦ The World Economic Forum estimates it will take 123 years to close the gender parity gap worldwide.
✦ And in 2026, women are still making 83 to 86 cents for every dollar a man earns for the same work.

That is not background noise. That is the world AI is being built on top of right now.

In the latest episode of Leadership Recalibrated™, Miri Rodriguez, Co-Founder and CEO of Empressa.ai, who spent 13 years at Microsoft shares her story about leaving big tech to build something the industry had never seen before.

What is one thing you are doing to make sure AI works for you and not against you?