HR Executives Face Personal AI Liability Under 2 Federal Laws as Hiring and Leave Risks Spread
Updated
Updated · HRD America · Jul 6
HR Executives Face Personal AI Liability Under 2 Federal Laws as Hiring and Leave Risks Spread
3 articles · Updated · HRD America · Jul 6
Summary
HR professionals can be sued personally—not just their employers—when AI-driven hiring, leave, timekeeping or termination decisions violate employment law, according to employment attorney David Miklas.
Two federal statutes drive much of that risk: the FMLA can reach HR staff who configure AI to reject leave or penalize protected absences, while the FLSA can expose those who approve automated rounding or meal-break deductions.
Hiring tools add another layer because bias can arise without intent; New York City requires independent audits for automated hiring tools, and a federal judge recently let a class action against Workday proceed over more than 100 alleged AI-screening rejections.
Consent and confidentiality create separate exposure: AI interview note-taking may require affirmative disclosure in two-party consent states, and uploading personnel records to open tools like ChatGPT can weaken claims that the information remained confidential.
Miklas said HR leaders should lock down written AI policies, confirm Employment Practices Liability Insurance actually covers HR staff, and consider separate errors-and-omissions coverage or corporate indemnification agreements.
As personal lawsuits surge, what insurance loopholes could leave HR leaders exposed for AI-driven decisions?
Your company's AI screener is a legal time bomb. Can you actually prove it isn't biased?
Employees are feeding company secrets to ChatGPT. Could this destroy your firm's legal defenses in court?
Navigating AI in HR: Landmark Lawsuits, State-by-State Compliance, and Proactive Risk Management for 2026
Overview
The report highlights the landmark case Mobley v. Workday, Inc., where Workday’s AI-powered hiring system is alleged to discriminate against job applicants based on age, race, and disability. The plaintiff claims the system reflects employer biases and uses biased training data, leading to a disparate impact on protected groups. Despite Workday’s defense, a California federal judge has allowed most discrimination claims to proceed, showing the court’s serious consideration of these issues. This case signals growing legal risks for HR leaders and technology providers, emphasizing the need for careful oversight and compliance when using AI in hiring.