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EUA events

2025 EUA AI Conference

How universities are shaping the era of artificial intelligence
22 - 23 May 2025 Online

Exploration into the use of AI – whether in learning and teaching, research or institutional management – is deepening. Among university communities, its real and potential value is increasingly understood. But as AI-powered tools proliferate, how can universities successfully – and responsibly – manage the leap from experimentation to systematic integration?

For universities, change is nothing new. Curiosity and adaptability are at the core of academic communities, sparking enquiry, innovation and critical reflection on established practices. Steady and transformative advances in the technological sphere have tested – and reinforced – universities’ capacity to manage change, cementing the sector’s position and influence in the digital transition. But with big developments come important questions: will AI technologies form part of this steady transformation or will they upend traditional ways or working? And can the sector’s approach set the tone for the integration of AI across society?

This event will showcase selected practices in the adoption of AI within the institutional context. Presentations will be framed by expert input on the political and regulatory backdrop and complemented by panel discussions on the ethical considerations surrounding the integration of new technologies. The conference will examine the effectiveness of policies and frameworks in guiding implementation and setting boundaries around the use of digital technologies. Plenary and parallel sessions will explore the critical importance of training and the role of leadership, educators and learners in determining where AI brings benefits and where it does not.

Participation is open to representatives of EUA members as well as to practitioners or AI enthusiasts in the wider university community. The sessions will also be of interest to anyone curious about universities’ response to developments in AI and how this might shape the adoption of such technologies more widely.

The call for contributions is now closed.

Conference sessions will feature selected initiatives in the adoption of AI within the institutional context as well as examining policies and frameworks designed to guide implementation. In order to showcase good practices of AI integration among EUA’s members and demonstrate how these may be adapted to similar contexts, EUA is now inviting proposals for practice presentations.

More information

Registrations to the event are now closed. 

Date & time: 

22 May 9.30-12.15 & 23 May 9.30-12.00 (CEST)

Registration Fees
Registration typeFee
EUA Member 90.00€
Non member 130.00€

 

The fee includes:

  • Access to the event online platform one week prior the event, where you will find relevant materials, information on the guest speakers and much more.
  • Live attendance.
  • On-demand viewing: all sessions will be recorded and made available to watch on-demand at your leisure via the event platform.
  • Exclusive pre-recorded content from global experts on AI.
  • Access to host and speakers' presentations.
  • The opportunity to connect with your peers and take part in active discussions.

 

Registration deadlines:

Payment method Bank transfer Online payment
Registration deadline 12 May 2025 20 May 2025

 

Confirmation: Please note that by filling in the registration form for the event you agree to full payment of registration fees. Your registration will be confirmed by email.

Payment: Payment must be made upon confirmation and prior to the event either by bank transfer or credit card. The participant assumes full responsibility for paying all bank charges associated with the payment.

 

Cancellation Policy

Refund amount Full refund No refund
Cancellation date Before or on 12 May 2025 After 12 May 2025

 

Substitutes will be accepted at any time provided that EUA is informed of the change.

Cancellations or changes must be sent in writing to the following email address: events@eua.eu

TAGS
Artificial Intelligence
Digital transition

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