AI in the workplace raises thorny ethical questions, and good intentions are only the starting point. This lively session probes how to translate lofty principles into disciplined practice, challenging delegates with dilemmas such as speed versus certainty in system roll‑outs, transparency versus intellectual property when opening black boxes, and fairness versus performance when optimisation goals collide. Drawing on hard lessons from algorithmic audits and the tightening grip of the EU

• High‑stakes dilemmas shaping HR AI strategy
• Research‑backed principles: beneficence, autonomy, justice, explicability
• Case‑study evidence of audits delivering measurable cost savings
• Governance options: ethics board vs empowered product teams
• Continuous monitoring vs periodic audits – resource implications
• Translating the EU

• Recognise the critical trade‑offs inherent in ethical AI decisions
• Apply frameworks to decide when to prioritise speed, compliance or employee trust
• Identify governance models that suit your culture and risk appetite
• Quantify the business value of algorithmic audits and bias mitigation
• Craft a roadmap to embed ethical AI across recruitment, engagement and workforce planning—without stifling innovation.