In episode 882 of CXOTalk, Michael Krigsman sits down with Kevin De Liban, founder of TechTonic Justice and former legal aid attorney, who reveals the shocking truth about AI's impact on vulnerable communities.

De Liban shares how 92 million low-income Americans now have critical life decisions, such as healthcare, housing, employment, and government benefits, that are determined by algorithms that often fail catastrophically.

Drawing from his groundbreaking 2016 legal victory in Arkansas, where he successfully challenged an algorithm that devastated the lives of disabled Medicaid recipients, De Liban exposes the myth of AI neutrality and demonstrates how these systems reflect the biases and incentives of their creators. He explains why self-regulation and "ethical AI" initiatives often fail when they conflict with business interests, and why effective regulation is crucial.

What you'll learn:

The real scale of AI harm affecting 92 million Americans
Why AI systems aren't neutral decision-making tools
How algorithms denied healthcare to disabled people in Arkansas
Why ethical AI initiatives fail without enforceable accountability
Practical steps technology leaders can take to prevent harm
The expansion of AI monitoring into middle-class professions
Why regulation benefits ethical companies
How to determine if AI is appropriate for high-stakes decisions

This conversation challenges conventional wisdom about AI adoption and offers essential guidance for executives, developers, and policymakers navigating the intersection of technological innovation and social responsibility.

Whether you're a C-suite executive, technology professional, policymaker, or concerned citizen, this discussion provides crucial insights into one of the most pressing issues of our time: ensuring AI serves humanity rather than harming those who need protection most.

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Read the episode summary and transcript: www.cxotalk.com/episode/ai-failure-injustice-inequality-and-algorithms

Learn more about TechTonic Justice: www.techtonicjustice.org

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