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Domů›London›Responsible AI in Higher Education - from Alignment to Co-Creation: Universities Shaping the AI Future
Responsible AI in Higher Education - from Alignment to Co-Creation: Universities Shaping the AI Future
Education

Responsible AI in Higher Education - from Alignment to Co-Creation: Universities Shaping the AI Future

čt 18. 6.
10:30 – 13:30
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O události

AI is moving faster than traditional models of education can keep up. As highlighted by the QS World Future Skills Index, the gap between what employers need and what graduates can deliver is widening - especially in AI. At the same time, universities themselves are undergoing 360° AI transformation - embedding AI across research, curriculum design, teaching and assessment, operations, and procurement. This shift is redefining not only how institutions educate, but how they operate, innovate, and partner.
Bringing together leaders from the LSE, Imperial College Business School, EDHEC, and QS, we’ll explore how institutions can assess their AI-readiness and what next-generation collaboration really looks like: from co-designed curricula and embedded industry experiences to new EdTech-enabled learning models.
Who should attend?
Representatives from Universities and Business Schools
AI Leaders & Innovators
Expect practical insights, bold ideas, and real examples of how collaboration - and institutions themselves - are being reimagined to shape an AI-ready future.
Agenda:
09:30-09:40 Welcome and brief introduction of the Responsible AI Consortia – Zoya Zaitseva, Innovation Manager, QS
09:40-09:55 Welcome note from the host - Leila Guerra, LSE
09:55-10:10 AI Trends in Higher Education:  a Market Briefing on 2026 Capital, Strategy, and Signals - Meg Hamel, Vice President Education, QS
10:10-10:20 Responsible Pilots for Embedding AI in Education at Imperial Business School – Stephen Vaz, Director of Learning Innovation, IDEA Lab, Imperial Business School
10:20-10:30 AI Integration at EDHEC – Emmanuelle Deglaire, Augmented Law Institute, EDHEC
10:30-10:40 Responsible AI in Pedagogy at LSE – Case Study
10:40-10:45 Group activity introduction
10:45-11:20 Participants work in groups, developing recommendations for key AI-related challenges across Governance & Human Commitment; Outreach & Operational Efficiency; Teaching, Learning & Assessment, and Research & Scholarship.
11:20-11:50     Groups' outcomes discussion
11:50-12:10     QS AI Capability Framework for Higher Education: How to assess AI capability, benchmark institutional maturity, and develop a strategic approach to AI adoption - Theo Berman, Product Manager, QS
12:10-12:30     Networking over cookies & wrap up

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čt 18. 6.
Čas
10:30 - 13:30
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