Lightning Lessons

Humanity-First AI: Lead with Purpose

Hosted by Daphné Pierre, Esq.

Mon, Sep 29, 2025

4:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

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What you'll learn

Embed Human Values in AI

Learn how to integrate ethics, fairness, and societal impact into AI projects.

Evaluate AI Projects for Impact

Assess AI initiatives to ensure they serve society, not just profit motives.

Decision Frameworks for Leaders

Apply practical tools to guide responsible, humanity-focused AI decision-making.

Why this topic matters

AI shapes industries, economies, and lives. Leaders must ensure technology prioritizes human well-being, fairness, and societal benefit. Understanding humanity-first AI helps executives make ethical, impactful choices, avoid unintended harm, and guide teams to create solutions that serve people, not just profit.

You'll learn from

Daphné Pierre, Esq.

Co-Founder, StartNoo | I help people build Good Tech for Good | Wall Street alum

Daphné Pierre, Esq. is a SocialTech and EdTech founder, startup attorney, former Wall Street compliance leader, and AI product leader building tech that actually helps people. She's the co-founder of StartNoo, a platform tackling college affordability and student debt through service learning, while helping universities recruit, retain, and engage more students. Naturally, she's also a champion for humanity-first innovation.


After nearly a decade advising financial institutions on regulation and risk, she went all in on building future-forward tools with heart, infused with justice, accessibility, and soul. She’s led legal and product teams across industries and now teaches leaders how to scale tech responsibly without losing their minds (or their morals).


Her Responsible AI work fuses real-world law, platform governance, and product development into practical frameworks you can use today to design tech that does good on purpose.

Whether testifying before regulators or mentoring startup founders, Daphné is obsessed with one thing: building a better world where tech works for everyone—not just the loudest voices in the room.


Because sometimes fairness means making sure to stand up so the marginalized don't get left behind.

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