The Hidden Legal Dangers Of AI Hiring Tools, Agentic Decision-making

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The hidden legal dangers of AI hiring tools, agentic decision-making | Ep. 254

8d ago 44:30

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As companies rush to implement AI and automated decision-making tools, they may be walking into a legal minefield. On this episode of Today in Tech, host Keith Shaw speaks with attorney Rob Taylor from Carstens, Allen & Gourley about the growing legal risks tied to agentic AI, automated hiring, and the rise of ADM (automated decision-making) regulations.

Rob breaks down:

* Why AI tools used in hiring and insurance may trigger liability

* How companies are getting ADM compliance wrong

* What laws already apply even without new AI regulations

* Real-world examples like credit scoring, job screening, and sentiment analysis

* Why disclosure, explainability, and data retention are essential

* Who’s liable: the company or the AI developer?

Chapters

00:00 Legal risks in AI and ADM

01:00 Common mistakes companies make

06:00 High-risk use cases: hiring, credit, insurance

10:00 Disclosure and consent pitfalls

15:00 Explainability and record-keeping laws

20:00 Unintentional bias in hiring algorithms

28:00 Who is liable: developer or deployer?

34:00 What future lawsuits might target

37:00 Fixing flawed AI governance

41:00 Litigation as the great teacher

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