Pre-Conference Workshop A1
A1 - Leading AI with Intention: A Working Session for University Leaders
Date Wednesday, 2 Dec Time – Price: 95.00 € Status: places available
Laurie Forcier
VP of Strategy, EDT&Partners
Laurie Forcier works at the intersection of education, innovation, and systems change. Over two decades, she has helped EdTech startups, universities, large corporates, and think tanks make sense of complexity and move good ideas forward - across K–12, higher education, and skills. She has led global teams, launched new initiatives, and built partnerships at scale. As a communicator and
editorial strategist, she is often the public voice for the organizations she represents, and specializes in making complex ideas clear and actionable. That approach shaped her contribution to Intelligence Unleashed, one of the most widely cited reports on AI in education.
Pablo Langa
Founder & Managing Partner, EDT&Partners
Pablo is the Founder & Managing Partner of EDT&Partners, a global consulting firm dedicated to advancing education through innovation and the effective use of technology. When not traveling, Pablo is based in Valencia, where he enjoys learning from his 40+ teammates and consultants, who are spread across 16 countries. He is passionate about scaling established business operations and launching new initiatives, especially projects related to education technology that impact individuals, communities, and organizations. As one of Blackboard’s early international hires, Pablo led the Mobile Learning division globally. More recently, as Vice President of Business Development at The Financial Times & IE Business School Corporate Learning Alliance (Headspring), he was responsible for building long-term value through strategic relationships, new market development, and customer success. Pablo brings a unique blend of experience working with well-established education leaders and early-stage ventures. He has also founded and helped grow impactful platforms such as ZeroAcoso.org, the first dedicated technology solution for bullying prevention and support.
Josep M. Mas
Chief Operating Officer, EDT&Partners
Josep M. leads consulting at EDT&Partners, helping EdTech companies and education institutions use technology to improve how people learn. Before joining EDT&Partners, he spent nearly 23 years in senior sales, marketing, business development, and product roles with Cambridge University Press across Europe and Asia, and led local product development for Asian markets at McGraw-Hill Asia. He has also been a founder-level leader in start-ups and Interim Executive Director of Las Lilas School in Singapore. He regularly lectures in master’s programs and mentors education organizations across Asia.
Gonzalo Sánchez Pérez de la Blanca
Chief Operating Officer, EDT&Partners
Gonzalo is a strategy and marketing executive who helps organizations change the way they work by rethinking their strategy and business model around the customer. Over his career, he has worked with B2B and B2C companies of every size and stage, from five-person start-ups to institutions with 50 years of history and 1,000 employees, as an owner, board member, and department lead. As COO of EDT&Partners, he brings that experience to the firm's operations and growth. A former athlete, he values teamwork, staying calm under pressure, and an open, intercultural approach to both work and life.
Over 90% of university staff now use AI in their work, and institutional adoption jumped 17 percentage points in a single year. Yet much of this adoption remains invisible to institutional leadership. Staff are experimenting with AI in their everyday work, while institutions are still developing the structures needed to understand, coordinate and govern what is already taking place. The challenge is no longer whether AI will be adopted, but how universities can shape that adoption intentionally.
In this interactive, hands-on working session, university leaders will explore the AI Management System (AIMS) framework and three key dimensions of institutional AI governance: Visibility (do you know where AI is operating?), Shared Capability (is institutional knowledge compounding or staying siloed?) and Continuous Oversight (are people, not algorithms, driving the decisions that matter?). A fourth dimension, AI Stewardship, frames the leadership question underneath all three: what kind of institution are you becoming, and is that a deliberate choice? Participants will assess where their own institution currently stands, identify gaps and challenges, and compare perspectives with peers facing similar questions.
Working in small groups, participants will then take a live governance challenge from their own institution and use a structured canvas to design a practical response. Real-world implementation examples will illustrate the decisions, trade-offs and approaches behind effective institutional AI governance. Participants will leave with a working governance framework, a concrete action plan and one prioritised AI governance challenge to address within 30 days.
Agenda:
- Welcome & Icebreaker (10 min)
- From AI Adoption to Institutional Intention (30 min)
- Institutional AI Governance: Diagnostic & Peer Reflection (45 min)
- Coffee Break (15 min)
- Hands-on: Designing Your Institutional Response (45 min)
- Peer Exchange & What Good Looks Like (25 min)
- From Insight to Action (10 min)
Target Audience: University Leaders, Higher Education Executives, Academic Leaders, Digital and AI Strategy Leaders, Institutional Decision-Makers
Target Audience Sector: Higher Education
Prerequisite Knowledge: Some prior experience with AI adoption, digital transformation or institutional strategy in higher education. No technical AI expertise is required.
Expected Outcomes:
- Assess their institution’s current position across key dimensions of AI governance.
- Understand the AI Management System (AIMS) framework and its application at institutional scale.
- Identify practical approaches to improving visibility, shared capability and continuous oversight.
- Design a concrete response to an institutional AI governance challenge.
- Define one prioritised governance action to take forward within 30 days.