What AI in HR means
AI in HR covers every place a model now sits inside the employee lifecycle: sourcing and screening, interview scheduling and scoring, internal mobility, performance summaries, compensation modelling and workforce planning. Most of it arrived through tools HR already owned rather than through a deliberate AI purchase.
That is the practical problem. Very few HR teams can produce a current inventory of which of their systems use AI, what those systems decide, what data they were trained on, and who signs off when the output is wrong. Regulators, works councils, plaintiffs and candidates are all starting to ask for exactly that inventory.
The work is therefore less about whether to use AI and more about governance: knowing what is running, being able to explain it in plain language, keeping a human accountable for consequential decisions, and documenting the reasoning before somebody demands it.
Jackye's full background and credentials are on the about page. Current work on this topic is listed on Jackye Now, and the sourced record of talks, media and awards is on the recognition page.