Generative AI at Work - Opportunity, Risk & Regulation for HR Professionals

Introduction

Large language models and GPT-based tools, like Claude, Chat GPT and Copilot, have moved from novelty to infrastructure. They are embedded in office and productivity suites, recruitment platforms and everyday drafting and used by employees (whether or not employers have sanctioned them).

This virtual classroom seminar aims to give HR professionals a practical, plain-English understanding of what these tools are, how they are changing the way work is done and what legal and reputational risks exist.

This is a key regulatory moment - the Data (Use and Access) Act 2025 has reshaped the UK's rules on automated decision-making, the ICO has set out clear expectations for AI in recruitment and the EU AI Act's employment provisions are just around the corner.

The session aims to translate all of this into what HR teams should actually do.

What You Will Learn

This webinar will cover the following:

• From novelty to infrastructure: how LLMs and GPTs are changing the workplace:
• What these tools actually are (and what they cannot reliably do)
• Where and how they are being used (recruitment, drafting, policy and knowledge work, performance and productivity)
• The reality of ‘shadow AI,’ where staff are using public tools with or without permission
• The regulatory landscape:
• The UK's principles-based approach (there is no UK ‘AI Act,’ so existing data protection, equality and employment laws are having to adapt)
• The DUAA's relaxation of automated decision-making rules, including what employers can now do and what safeguards still bite
• The ICO's expectations on AI in hiring and their expectations more widely: transparency, impact assessments and regular monitoring for fairness and accuracy
• Where employers need to be careful:
• The practical risk areas: putting personal, sensitive or confidential data into public tools
• Bias and discrimination in AI-assisted recruitment and decision-making
• The interaction with equality duties and reasonable adjustments
• Accuracy, ‘hallucination’ and the danger of over-reliance
• Transparency to staff and candidates and the line between productivity tools and surveillance; confidentiality, IP and vendor due diligence
• The requirement for meaningful human involvement in significant decisions
• Practical outcomes:
• What a workable AI use policy looks like
• Who should own AI risk in the organisation
• The key questions to ask vendors before adopting a tool

This pre-recorded webinar will be available to view from Tuesday 12th January 2027

Alternatively, you can gain access to this webinar and 2,400+ others via the MBL Webinar Subscription. Please email webinarsubscription@mblseminars.com for more details.