Bob Pulver speaks with Emily Scace, Senior Legal Editor at Brightmine, about the intersection of AI, employment discrimination, and the evolving legal landscape. Emily shares insights on how federal, state, and global regulations are addressing bias in AI-driven hiring processes, the responsibilities employers and vendors face, and high-profile lawsuits shaping the conversation. They also discuss candidate experience, transparency, and the role of AI in pay equity and workforce fairness.

Keywords

AI hiring, employment discrimination, bias audits, compliance, workplace fairness, age discrimination, Title VII, DEI backlash, Workday lawsuit, SiriusXM lawsuit, EU AI Act, risk mitigation, HR technology, candidate experience

Takeaways

Employment discrimination laws apply at every stage of the talent lifecycle, from recruiting to termination.

States like New York, Colorado, and California are setting the pace with new AI-focused compliance requirements.

Employers face challenges managing a patchwork of state, federal, and international AI regulations.

Recent lawsuits (Workday, SiriusXM) highlight risks of bias and disparate impact in AI-powered hiring.

Candidate experience remains a critical yet often overlooked factor in mitigating both reputational and legal risk.

Employers must balance the promise of AI with the responsibility to ensure fairness, accessibility, and transparency.

Pay equity and transparency represent promising use cases where AI can drive positive change.

Quotes

“Discrimination can happen at any stage of the employment process.”

“Some state laws go as far as requiring employers to proactively audit their AI tools for bias.”

“Employers can’t just outsource their hiring funnel and blindly take the recommendations of AI.”

“Class actions often succeed where individual discrimination claims struggle — they reveal systemic patterns.”

“Even if candidates don’t get the job, a little touch of humanity goes a long way in making them feel respected.”

“AI has real potential to help employers get to the root causes of pay inequity and model solutions.”

Chapters

00:00 – Welcome and Introduction

00:36 – Emily’s background and role at Brightmine

02:38 – Overview of employment discrimination laws

05:27 – AI and compliance with existing legal frameworks

07:20 – California’s October regulations and employer liability

09:54 – Employer challenges with multi-state and global compliance

11:26 – Proactive vs reactive approaches to AI bias

13:06 – EU AI Act and global alignment strategies

15:37 – High-risk AI use cases in employment decisions

18:34 – DEI backlash and its impact on discrimination law

20:59 – Age discrimination and the Workday lawsuit

27:34 – Data, inference, and bias in AI hiring tools

31:25 – Candidate experience and black-box hiring systems

33:33 – Bias in interviews and the human role in hiring

37:43 – Transparency and feedback for candidates

42:44 – AI sourcing tools and recruiter responsibility

47:52 – Risks of misusing public AI tools in hiring

50:12 – The SiriusXM lawsuit and early legal developments

54:08 – Candidate engagement and communication gaps

59:19 – Emily’s views on AI tools and positive use cases

Emily Scace: https://www.linkedin.com/in/emily-scace

Brightmine: https://brightmine.com

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Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠

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