Are AI Regulations Stifling Innovation or Safeguarding Human Rights?

AI is revolutionizing industries, but are businesses truly prepared for the risks that come with it? In this episode of Leadership Exchange, Tracy Lee sits down with Bart Layton, founder of AI Guardian, to discuss the often-overlooked challenges of AI governance, compliance, and security.Bart shares real-world stories of AI gone wrong, including fraud detection models that lost companies millions of dollars and regulatory blind spots that could result in serious legal consequences. They explore the fast-changing landscape of AI regulations, highlighting why so many organizations struggle to keep up. As AI tools evolve at a rapid pace, many businesses are unknowingly exposing themselves to risks by failing to implement proper governance structures.Throughout the conversation, Tracy and Bart dive into the biggest compliance mistakes companies are making and discuss why shadow AI use—employees using AI tools without official approval—is skyrocketing. Bart also emphasizes the critical role of diverse governance teams in preventing AI bias and ensuring responsible AI implementation. With regulations like the EU AI Act and new state-level laws in the U.S. emerging, understanding how to navigate compliance is becoming more urgent than ever.Keypoints from this episode:- AI compliance is becoming critical as regulations like the EU AI Act and new state-level laws in the U.S. emerge. Many businesses are unprepared for the complexity of AI governance and the potential legal and financial risks.- AI failures can be costly, with real-world examples of fraud detection models making millions of dollars in mistakes. Without proper oversight, these errors can lead to significant business and customer impacts.- Shadow AI is a growing concern, with over 58 percent of employees using AI tools without their company’s knowledge. Organizations need clear AI policies to manage security and compliance risks.- Diverse AI governance teams help reduce risk. Companies that include a range of perspectives across demographics, expertise, and experience are better equipped to detect AI biases and prevent costly mistakes.Follow Bart Layton on Linkedin: https://www.linkedin.com/in/bart-layton/Sponsored by This Dot: thisdot.coFollow This Dot Labs on Social MediaThis Dot Media X: https://x.com/ThisDotMediaThis Dot Labs X: https://x.com/ThisDotLabsThis Dot Labs Linkedin: https://www.linkedin.com/company/thisdotlabs/This Dot Labs BlueSky: https://bsky.app/profile/thisdotlabs.bsky.social