As part of the British Academy of Management Masterclass Series, Professor Palie Smart will deliver a session exploring how AI innovation is impacting place‑based and global prosperity. She will also highlight the vital civic engagement role universities—and business schools in particular - acting as anchor institutions that convene stakeholders to align frontier technological progress with societal and regional needs.

She will also reference pioneering regional assets such as ISAMBARD-AI, the £225 million world‑class AI and high‑performance computing facility led by University of Bristol. This advanced infrastructure exemplifies how place‑based technological investment can accelerate research, industry collaboration, and equitable, sustainable growth.

REGISTER HERE

Speaker

Professor Palie Smart

Professor of Operations Management,
University of Bristol

Chair

Prof Florian Bauer

Chair in Strategy,
University of Bristol

Benefits of attending

🔷 How AI technologies are driving productivity, competitiveness, and societal change.

🔷 What role can universities and business schools play in developing AI for good.

🔷 Insights into a nationally significant technological asset and what it might mean for the UK’s innovation landscape.

Event Fee

BAM Members: Free
Non-Members: £60

If you are booking multiple paid events as a Non-Member, it may be cheaper for you to purchase a BAM Membership as nearly all BAM Events are free or at a discounted rate for Members.

For more information, please visit BAM Membership

REGISTER HERE

Registration closes on 13th April 2026 at 23:59 BST.

The White Paper is available for free here: https://www.bam.ac.uk/knowledge-hub/charting-the-future-white-paper.html

During the podcast, we discuss in detail the REINFORCE framework guiding responsible AI use in research.

17 April 2026, 9am – 4pm BST

University of Greenwich, Queen Anne Court, Old Royal Naval College, Park Row, London SE10 9NW

+ Add to calendar

We are delighted to welcome you to the second edition of this timely and thought-provoking symposium, where we gather to explore the evolving role of generative AI in shaping the future of education and research. This year, we turn our focus to the paradoxes emerging within management education—an area where the promise of AI meets the complexity of human judgment, ethics, and leadership.

As generative AI tools become increasingly integrated into academic and professional environments, they offer unprecedented opportunities for innovation, efficiency, and personalized learning. Yet, they also raise critical questions: What are the limits of what AI can teach? Can it truly foster the nuanced thinking, emotional intelligence, and ethical reasoning that management education aspires to cultivate?

This symposium invites educators, researchers, students, and practitioners to engage in a rich dialogue around these questions. Through keynote talks, panel discussions, and collaborative sessions, we will examine not only what AI can do, but also what it perhaps should not—or cannot—replace in the learning process.

By bringing together diverse perspectives in both in-person and hybrid formats, we aim to foster meaningful connections and spark new ideas that will shape the future of management education in an AI-augmented world.

We look forward to your insights, your questions, and your contributions to this important conversation.

Symposium Timeline:

Call for Submissions Open: 25th November 2025
Call for Papers Deadline: 30th January 2026
Review Period: 16th January - 28th February 2026
Accepted Papers Notification: 2nd March 2026
Registration deadline: 3rd April 2026

Provider Information

BAM Knowledge and Learning and Research Methodology Special Interest Groups

Who Should Attend?

The event speaks to All Sections, as detailed in the BAM Framework

This symposium is ideal for educators, researchers, and practitioners in management, education, and technology who are exploring the role of generative AI in shaping learning and leadership. It also welcomes students, policymakers, and industry professionals interested in the ethical, pedagogical, and practical boundaries of what AI can—and cannot—teach.

For more information, visit BAM’s event pages.