AI is rapidly changing the way organisations approach learning and development. For L&D and HR professionals, this shift brings exciting opportunities to personalise learning and make assessment more efficient, but it also raises important questions about trust, fairness and data privacy.
In this session, we’ll look at the latest workplace AI trends, highlight the benefits it can bring to learning and assessment and share practical advice on overcoming the most common challenges.
What we’ll cover:
- Key trends shaping AI in the workplace
- Opportunities for learning and assessment
- How to tackle concerns around trust, privacy and fairness
- Practical examples of AI-enabled learning activities
Reserve your place today and be part of the conversation on how AI is reshaping workplace learning.
Speakers
Marcel Britsch is an independent Digital Consultant, Product Manager and Agile Transformation specialist. Over the past 20 years, he has worked with creatively and technically focused agencies, consultancies and clients across sectors including education, conservation, climate, finance, healthcare and energy.
He helps organisations design and deliver sustainable digital products and services through facilitation, coaching and hands-on product management. Marcel believes that successful transformation and learning depend on ethical foundations, empowered teams, value-focused decision-making and continuous feedback.
He teaches at Cambridge University, speaks regularly at conferences and writes about agility, digital strategy,ethics and systems thinking at thedigitalbusinessanalyst.com. More at beautifulabstraction.com.
Dr Sha Liu is a Test Development Researcher at the British Council and Co-Convenor of the EALTA AI for Language Assessment Special Interest Group. She holds a PhD in Language Assessment from the University of Bristol and her research focuses on AI-powered automated speaking and writing evaluation, with particular emphasis on multimodal speaking assessment using generative AI, personalised diagnostic feedback generation and eye-tracking methodologies for understanding learner engagement.
Her commitment to inclusive assessment practices centres on developing AI-based systems that provide equitable feedback across diverse learner populations and proficiency levels. Her work has been recognised with multiple awards and she serves on editorial boards for Language Assessment Quarterly, Assessing Writing, Research Synthesis in Applied Linguistics and Artificial Intelligence in Language Education.