AI is transforming work, education, and daily life faster than most organizations can track, and the leaders being asked to navigate that transition are largely doing it without the frameworks, the language, or the people in the room who know how to protect human value under pressure.
Not If, But How is a community-facing panel that brings equity-informed AI practice out of theory and into the room. Four practitioners working across HR, mental health, education, and technology share the frameworks they're actively building and using to answer the questions most AI conversations skip:
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What are we actually protecting when we say we value people? Felisa Nobles introduces the People Value Quotient (PVQ), a framework for measuring the gap between what leaders say about people and what their AI decisions reveal.
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Who gets considered, and who gets erased? Sheila Thomas draws on real-world case studies of companies that have either stayed true to their who (their customers, communities, and workforce) or lost it, and what that clarity or its absence is costing them in the AI era.
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What does equity-informed practice look like inside a real build? Anatasia S. Kim introduces the Equity Audit Tool, a multi-domain framework for evaluating whether an AI system is advancing equity or simply scaling existing assumptions. She draws from her work building AARI Care, an AI-native operating system for the mental health ecosystem. Vaibhav Garg, AARI cofounder and CEO, grounds the discussion in what this looks like under the hood of a real product.
This is not a tech talk. There is no demo. What attendees will leave with is a set of named frameworks, real case examples, and a handful of questions they haven't asked themselves yet about the AI decisions being made in their own organizations, right now.
Designed for: builders, founders, HR and people leaders, educators, workforce strategists, and anyone whose work is being reshaped by AI, whether they're ready or not.
AI is transforming work, education, and daily life faster than most organizations can track, and the leaders being asked to navigate that transition are largely doing it without the frameworks, the language, or the people in the room who know how to protect human value under pressure.
Not If, But How is a community-facing panel that brings equity-informed AI practice out of theory and into the room. Four practitioners working across HR, mental health, education, and technology share the frameworks they're actively building and using to answer the questions most AI conversations skip:
-
What are we actually protecting when we say we value people? Felisa Nobles introduces the People Value Quotient (PVQ), a framework for measuring the gap between what leaders say about people and what their AI decisions reveal.
-
Who gets considered, and who gets erased? Sheila Thomas draws on real-world case studies of companies that have either stayed true to their who (their customers, communities, and workforce) or lost it, and what that clarity or its absence is costing them in the AI era.
-
What does equity-informed practice look like inside a real build? Anatasia S. Kim introduces the Equity Audit Tool, a multi-domain framework for evaluating whether an AI system is advancing equity or simply scaling existing assumptions. She draws from her work building AARI Care, an AI-native operating system for the mental health ecosystem. Vaibhav Garg, AARI cofounder and CEO, grounds the discussion in what this looks like under the hood of a real product.
This is not a tech talk. There is no demo. What attendees will leave with is a set of named frameworks, real case examples, and a handful of questions they haven't asked themselves yet about the AI decisions being made in their own organizations, right now.
Designed for: builders, founders, HR and people leaders, educators, workforce strategists, and anyone whose work is being reshaped by AI, whether they're ready or not.