The AI Trust Crisis: Fabricated Reports and Biased Hiring, How to Fix Broken AI Systems
The AI TableShow Notes
Reid Blackman dives into the urgent dilemmas of AI—from HR tools facing lawsuits for scraping social media data and discriminating against older job applicants, to big consulting firms publishing AI-generated reports with fabricated citations.
He explores how these issues are reshaping trust, accountability, and even mental health.
Blackman shares why he wrote The Ethical Nightmare Challenge, exposing the gaps in standard AI governance and introducing his Ethical Nightmare Challenge (ENC) framework—a practical approach to identify and mitigate AI risks before they escalate.
He makes the case that responsible AI is a business imperative, with clear ROI for companies that get it right.
Whether you’re a CEO navigating regulatory landmines, a tech leader building responsible systems, or a parent concerned about AI’s impact on society, this conversation will push you to ask: What’s the worst that could happen—and how do we stop it?
Takeaways Evolution of AI has led to a complex risk landscape Standard AI governance is inadequate for the evolving technology The Ethical Nightmare Challenge framework offers a scalable and outcome-oriented approach to AI governance
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