[CXOTALK #882] AI FAILURE: Injustice, Inequality, and Algorithms

As organizations rapidly deploy AI across critical functions, we're witnessing unprecedented failures that challenge our assumptions about algorithmic decision-making.

Artificial intelligence makes life-altering decisions for 92 million Americans, determining who gets healthcare, housing, jobs, and government benefits. Too often, these AI systems fail catastrophically, causing human suffering on an unprecedented scale while evading traditional accountability mechanisms.

Kevin De Liban, founder of TechTonic Justice and veteran legal advocate, joins CXOTalk episode 882 to expose how AI decision-making has gone dangerously wrong across both government and private sectors. Drawing from his groundbreaking report "Inescapable AI" and his experience leading successful legal challenges against harmful government AI, Kevin reveals:

The shocking scale of AI failures: From 40,000 false fraud accusations in Michigan to 25 million people losing healthcare coverage, learn how AI amplifies errors and bias at speeds and scales impossible with human decision-making
Why traditional oversight fails: Discover how automation bias, black-box algorithms, and misaligned incentives create a perfect storm where neither political, market, nor legal mechanisms can adequately protect against harmful AI
The hidden business risks: Understand why the same AI systems harming vulnerable populations today could threaten your organization tomorrow through litigation, reputational damage, and operational failures
Lessons from the frontlines: Learn from real cases involving Deloitte, Thomson Reuters, and major corporations where AI implementations have led to lawsuits, regulatory scrutiny, and public backlash
A path forward: Explore practical recommendations for building accountable AI systems that enhance rather than replace human judgment, including transparency requirements, meaningful oversight, and community involvement

Whether your organization is deploying AI for hiring, customer service, risk assessment, or operational efficiency, this conversation offers essential insights into the pitfalls to avoid and the governance structures necessary to prevent your AI initiatives from becoming tomorrow's cautionary tale.

Key topics include: AI accountability, algorithmic bias, automated decision-making, AI governance, social impact of technology, legal liability of AI systems, and building ethical AI at scale.

During the live show, share your views and ask questions on Twitter and in the LinkedIn event chat.

DATE: Friday May 30
TIME: 1:00 ET / 10:00 PT

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Episode Participants

Kevin De Liban is the Founder and President of TechTonic Justice, a newly launched organization to fight alongside low-income people left behind by artificial intelligence (AI). Through multidimensional advocacy, TechTonic Justice supports marginalized communities and their advocates to secure the work, housing, schooling, public benefits, and family stability needed for a thriving life.

Michael Krigsman is a globally recognized analyst, strategic advisor, and industry commentator known for his deep expertise in business transformation, innovation, and leadership. He has presented at industry events worldwide and written extensively on the reasons for IT failures. His work has been referenced in the media over 1,000 times and in more than 50 books and journal articles; his commentary on technology trends and business strategy reaches a global audience.