Can AI Be Trusted? Building Accountability Before the Robots Take Over
John Howell talks with James and Chase Malackowski of AI QA Global about AI governance, the Chicago Principles, and why trust—not just innovation—may determine the future of artificial intelligence.
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As artificial intelligence becomes woven into nearly every aspect of modern life, one question is growing louder: Who makes sure AI can be trusted?
John Howell sits down with James and Chase Malackowski of AI QA Global to explore the rapidly emerging world of AI governance. They explain why businesses, investors, and regulators are increasingly demanding independent oversight of AI systems rather than relying on companies to police themselves.
The conversation examines the legal and ethical challenges surrounding AI, including who bears responsibility when AI makes mistakes, how poor data can produce biased or inaccurate results, and why governance standards must evolve as quickly as the technology itself. The Malackowskis also discuss the “Chicago Principles,” a framework designed to establish measurable, auditable, and accountable standards for AI deployment.
Along the way, they explore why Chicago is uniquely positioned to lead the effort to create AI trust standards, how younger generations are approaching AI differently, and why organizations should think carefully about where… and where not… to use artificial intelligence.
It’s all about finding a way to balance innovation with responsibility as AI transforms business and everyday life.