Can corporations be trusted to fix AI bias if there’s no money in fixing it?

In this episode of AI Unhinged, Dr. Calvin D. Lawrence sits down with Dr. Seth Dobrin for a candid conversation about what actually drives responsible artificial intelligence inside corporate America.

Dr. Lawrence introduces his “three R’s”: revenue, reputation, and regulation. His argument is simple: companies are far more likely to take AI safety seriously when ignoring it threatens their profits, damages their reputation, or puts them at regulatory risk.

But Dr. Dobrin pushes the conversation further.

They explore why responsible AI can itself become a business advantage, how privacy and consent can change the relationship between companies and consumers, and why corporations have a financial responsibility to think about both the opportunities and the risks created by AI.

The discussion then moves into one of the most complicated questions in artificial intelligence:

Who gets to decide what “bias” actually means?

When global AI models are trained across cultures, whose values should determine what gets removed, corrected, or labeled harmful? And could attempts to make AI “safe” unintentionally impose one culture’s values on the rest of the world?

From the EU AI Act and AI regulation to large language models, corporate responsibility, cultural bias, privacy, and what Dr. Dobrin calls technological colonialism, this conversation asks whether we can build responsible AI without slowing innovation — and who ultimately gets to define what responsible even means.

LEARN MORE ABOUT DR. LAWRENCE: calvindlawrence.com

PRODUCED BY: ORGANIZED MOVEMENTS