# AI in HR: Dayforce on Why Governance Helps Companies Move Faster

Page: https://stenobird.com/podcast/tech-talks-daily-3579/ai-in-hr-dayforce-on-why-governance-helps-companies-move-faster
Text version: https://stenobird.com/podcast/tech-talks-daily-3579/ai-in-hr-dayforce-on-why-governance-helps-companies-move-faster.md
Podcast: [Tech Talks Daily](https://stenobird.com/podcast/tech-talks-daily-3579)
Published: 2026-07-23T00:00:00+00:00
Episode link: https://techtalksnetwork.com/
Audio file: https://traffic.libsyn.com/secure/techblogwriter/Tech_Talks_Network_Dayforce.mp3?dest-id=289572
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JSON: https://stenobird.com/v1/public/podcasts/tech-talks-daily-3579/episodes/ai-in-hr-dayforce-on-why-governance-helps-companies-move-faster
Duration seconds: 1987

## Resource

What happens when AI moves beyond writing emails and summarizing meetings and starts influencing who gets hired, promoted, and paid? In this episode of Tech Talks Daily, I speak with David Lloyd, Chief AI Officer at Dayforce, about why HR is becoming one of the highest-stakes environments for artificial intelligence and how companies can introduce AI while protecting employee data, maintaining human accountability, and preparing for growing regulatory scrutiny. HR systems contain some of the most sensitive information companies hold, from salaries and performance records to benefits and personal data. At the same time, AI is increasingly being introduced across recruitment, workforce management, compensation, performance, and employee experience. David explains why this combination creates enormous opportunities but also places greater responsibility on employers to understand how AI systems operate and how decisions are made. A major theme throughout our conversation is the role of AI governance. David challenges the assumption that governance slows innovation, arguing that the right processes can help companies evaluate AI ideas quickly while reducing the risk of introducing systems that lack appropriate data, transparency, or regulatory safeguards. Dayforce recently achieved ISO/IEC 42001 certification for AI management systems and NIST AI Risk Management Framework attestation. David explains what independent validation means in practice and why companies evaluating AI vendors should ask for evidence of how systems are governed, tested, monitored, and audited. We also discuss the principle of "AI by choice." David argues that CIOs and HR leaders should never discover that a new AI capability has suddenly been activated across hundreds of employees without their know…

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