Fair Futures at Work Co Creation and AI driven Solutions in Governing
summary
Workshop reports a working prototype and concrete findings: a web app using ChatGPT ranks fictional applicants and surfaces bias, co-creation with 315 participants in seven countries de-escalates trust in pure ranking and demands human oversight, surveys of over 5,000 respondents map worker attitudes, technical modules include synthetic data, case‑based reasoning and LLM bias mitigation, and a classifier that predicts gender at ~99% accuracy (showing privacy/discrimination tension). The prototype exposes proxies, shows audits can be gamed, and remains a work‑in‑progress.
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chapters (11)
- 0:00AI in recruitment risks
- 2:06Panelist backgrounds
- 9:15AI hiring benefits and pitfalls
- 16:56Systemic biases in hiring
- 23:41Labor market power imbalances
- 30:04Algorithmic fairness limits
- 38:58Co-creation workshops
- 47:43Collective agreements in AI governance
- 57:46BIAS project tool lessons
- 1:03:04Q&A on fairness metrics
- 1:11:29Closing reflections
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