Where AI helps HR, and what stays human

In this lesson you'll

• Name the HR tasks where AI saves the most time
• Explain why employers stay responsible for decisions their AI tools influence
• Use ETA's ADAPT framework to decide whether an HR task is a good fit for AI

Welcome

Welcome to AI for HR and People Teams from the Enterprise Technology Association (ETA). HR teams sit in an unusual spot with AI. You're asked to roll it out to everyone else, write the policy for it, train people on it and answer their worries about it, while using it in your own work on some of the most sensitive data an organization holds. This course assumes you've completed Level 1: Foundations of the ETA Applied AI Professional Certificate (free).

Where AI helps HR most

• Writing. Job descriptions, offer letter drafts, policy drafts, employee announcements, training outlines and FAQs.
• Answering questions. A help assistant grounded in your handbook and benefits guides that answers routine questions at any hour.
• Organizing. Summarizing survey comments, sorting tickets, building onboarding checklists and turning long benefits documents into one-page guides.
• Learning. Drafting course outlines, role-play scenarios for managers and skills maps for roles.
• Analysis. First passes at turnover patterns, survey themes and pay band comparisons, checked by a person.

What stays human

Decisions about people's jobs and pay: who is hired, promoted, paid what, disciplined or let go. Accommodation decisions. Investigation findings. Anything that needs empathy in the moment, such as a layoff conversation or a grieving employee. AI can help prepare, organize and draft. A responsible person decides and delivers.

You're responsible for the tools you use

Federal anti-discrimination laws, including Title VII of the Civil Rights Act, the Americans with Disabilities Act (ADA) and the Age Discrimination in Employment Act (ADEA), apply to employment decisions whether a person or a tool influences them. If a screening tool screens out a protected group at a higher rate and the employer can't show the screen is job-related, the employer can face a disparate impact claim even if no one intended to discriminate. Buying a tool from a vendor doesn't move that responsibility.

Vendors can face claims too. In Mobley v. Workday, a federal court in 2024 let an applicant's discrimination claims proceed against the HR software vendor itself, and in 2025 let his age discrimination claims proceed as a collective action. The case is ongoing, and the message for employers is clear: ask hard questions of any vendor whose tools screen or rank people.

States and cities are adding their own rules. New York City's Local Law 144 requires a bias audit and candidate notice for automated employment decision tools. Since January 1, 2026, the Illinois Human Rights Act makes it a civil rights violation to use AI in ways that discriminate in employment, or without notice. Lesson 3 covers these.

Workplace example: a 300-person distributor

An HR manager at a regional distributor used ADAPT before trying AI. Assess: job descriptions and the benefits FAQ were good fits; screening resumes wasn't, yet. Direct: she briefed the tool with the company's own job architecture and benefits guides. Assure: every draft went through her and a hiring manager. Protect: no employee names or records went in. Tune: she saved the best briefs as templates. Time to post a new role fell from four days to one.

Try it

List five tasks your HR team does every month and ask your approved AI tool:

Goal: Help me sort these HR tasks by how well they fit AI support.
Context: I work in HR at a [size, industry] organization. Tasks: [task 1] to [task 5].
Constraints: For each task, say who is affected if the output is wrong, whether it influences a decision about a specific person's job or pay, and what a person must check. Don't recommend AI make any employment decision.
Format: A table with one row per task.
Done criteria: I can explain each rating to our head of HR in one sentence.

Disagree with at least one rating and write down why.

Key takeaways

• AI saves HR the most time on writing, answering routine questions, organizing and first-pass analysis.
• Decisions about hiring, pay, discipline, accommodations and investigations stay with responsible people.
• Employers stay responsible for discrimination by tools they use, including vendor tools, and state and city rules are growing.

Sources

• Employment discrimination laws enforced by the EEOC (opens in a new tab)
• Automated Employment Decision Tools, Local Law 144 (NYC Department of Consumer and Worker Protection) (opens in a new tab)