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The Hidden Impact of Responsible AI

The loudest voices in AI are not always the ones doing the most meaningful work. While headlines focus on scale and speed, a growing community of leaders is applying AI with intention, clarity, and purpose.

Join Merav Yuravlivker, Chief Learning Officer at Data Society Group, for a fireside chat with Carey Anne Nadeau, Co-Founder and Co-CEO of Loop and founder of Open Data Nation. This conversation will spotlight what it means to build AI systems that serve real people, solve real problems, and reflect the values of those closest to the work.

We will explore how data and AI are quietly reshaping public safety, financial equity, and policy outcomes. We will also examine the tradeoffs of venture-backed AI, the risks of unchecked scale, and the power of applied AI to shift systems, not just headlines.

This is not a conversation about the future of AI. It is a conversation about what responsible leaders are building right now.

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Meet Our Speakers

Merav Yuravlivker

Chief Learning Officer
Co-Founder, Data Society

Merav Yuravlivker is the Chief Executive Officer and co-founder of Data Society. She built her career at educational institutions that include Teach for America, Kaplan, and the International Baccalaureate Organization. Since 2014, Merav and her company have helped organizations save millions of dollars by incorporating data analytics skills and best practices that equip workforces to achieve their goals and expand their impact. Under her leadership, Data Society has been listed as one of Inc. 5000 fastest-growing private companies for 3 consecutive years and was awarded Fast Company’s 2023 Best Workplace for Innovators in Education. Merav was also named a top leader in Washington Business Journal’s 2022 40 Under 40 list, an Ernst & Young Entrepreneur Of The Year® 2021 Mid-Atlantic Award finalist, and is part of the Forbes Tech Council and National Small Business Association Leadership Council.

Carey Nadeau

Co-CEO at LOOP

Carey Nadeau is an owner and operator of LOOP, a car insurance company. She started a insurance company because after a career of studying cities and building machine learning models, the math could be improved and good, basic car insurance could be more affordable for people who need it.

In her work, Carey advocates and often uses open, public data in order to create more competition, explainability, and accountability. Her work has included: encoding the Living Wage, that provided the data and impetus for employers, including IKEA and NYC’s service-industry to raise wages; the first commercialized geospatial machine learning models to predict car crashes; and her research as an Research Affiliate at MIT and with the Brookings Institution, measuring the unaffordability of public transportation to low-wage jobs.

She was born and raised in the backwoods of Connecticut by a rock drummer and a cash accountant (which explains a lot), and earned a Master’s in City Planning from the Massachusetts Institute of Technology.