HR

Learning about Markets from Models: Evidence from an AI Hiring Platform

Firm models rank a stayer above a leaver at least 85% of the time at their own firm (random-forest AUCs 0.855, 0.891, 0.914), but are essentially useless at other firms.

0.855 to 0.914AUC of each firm's own retention model at its own firm

Harvard Business School·Other·31 Oct 2026·arxiv.org↗

Miriam Martin (IBM) - El tiempo que nos devolvió la IA | FredCon 26' / The time AI gave back to us: how IBM HR became AI-first (FredCon 26)

AskHR/Ask IBM front door takes 94% of HR queries; training hours 31 -> 87; 80% of new roles carry new skills; weekly use-case reviews to exec committee. Speaker: Miriam Martín Muñoz (IBM, HR Transformation); yt-dlp auto captions. English summary with timestamps on top.

IBM (FredCon 26)·Talk·6 Oct 2026·youtube.com↗

Positive Ratings, Hidden Concerns: Employee Voice Disclosure in AI-Mediated Organizational Listening

Field study in a global consulting firm, survey + AI voice interview: 20-41% of sessions pair a favourable rating with a concern voiced later; disclosure is softened and bounded by perceived legitimacy.

arXiv·Paper·30 Sept 2026·arxiv.org↗

AI Use Cases for HR: AIHR Tracker (May 2026)

Nine areas: workforce planning and strategy; attract and recruit; onboard; retain and develop; perform and reward; exit and offboard; compliance and governance; agentic AI and cross-system orchestration; 2026 emerging use cases.

85%faster CV screening claimed for AI screening tools, with 75% less manual review time

AIHR·Practitioner post·May 2026·sites.google.com↗