SHRM26 Debrief · Talent Management & Acquisition · #2778

Ethical AI to Broaden Talent Pools and Reduce Hiring Bias

with Jacqueline Grant

▶ Watch on the SHRM portal ~57 min, distilled

Ethical AI in hiringHiring biasTalent visibility

"Most organizations have a visibility problem, not a talent shortage."

What it was about

Most organizations don't have a talent shortage, they have a visibility and interpretation problem: qualified candidates disappear from the hiring pipeline before meaningful human consideration. Ethical AI requires treating hiring as a governance and leadership issue with mandatory human oversight, not a pure technology or automation problem.

Key notes

Audit your hiring pipeline for 'disappearance points' — places where qualified candidates are filtered out before any human ever reviews them, not just tracking application-to-hire outcomes.
Distinguish rejection (a candidate was considered and declined) from non-consideration (a candidate never got the chance to be seen) and measure both.
Review what signals your AI hiring system is trained to prioritize, and reprogram it for what you want going forward rather than only replicating past successful hires.

The contrarian takeAI and human evaluators can reach very different conclusions about the same candidate pool: an experienced HR team and an AI system once disagreed on the top candidate for a role, because AI misses the human and organizational-fit element. That implies AI screening output shouldn't be trusted as an objective 'better' answer over human judgment, even though it's often treated that way.

Take this back Monday

Do this for your team

Audit your ATS filters for 'disappearance points' where candidates get screened out before any human ever reviews their application.

Say this in your next leadership meeting

Our AI hiring tools don't have a talent shortage problem, they have a visibility problem — so every filtering decision still needs a mandatory human check.

Watch out for

Treating AI hiring tools as a pure technology/efficiency play instead of a governance and leadership responsibility.
Relying on keyword matching and familiar sourcing patterns (same schools, same industries, same 'type' of past hire), which narrows rather than broadens the talent pool.
Assuming a candidate shortage exists when the real problem is discoverability — qualified people exist but aren't being surfaced or interpreted correctly.

Fun fact · Jacqueline Grant

She's a dual MBA and Certified Project Management Professional who's been quoted as an expert source in the Chronicle of Higher Education.

If this landed, see these

↳ Go deeperBuilding an AI-Enabled Recruiting TeamBefore auditing for AI bias, this session shows most teams haven't even turned on the AI features already sitting in their ATS.⇄ The counterpointNegotiating Job Offers: Master These New Strategies to Win Over In-Demand CandidatesAI misses candidate fit, but this session says human recruiters miss it too by talking instead of asking.✦ The unexpected oneCommunicating with Impact...for Results! The Art of Tactful and Diplomatic CommunicationThe human judgment AI can't replace turns out to be exactly the tact this session teaches.