Skip to main content
University of Reading
Mobile search categories
Events Listing
EVENT

AI and Human Dignity Exploring Magnifica Humanitas

Date 29 July 2026

Time 18:30 - 20:00

Location G11, Henley Business School, Whiteknights Campus, RG6 6UD

Register Here

Event Information

Join Thames Valley AI and Reading Tech Cluster for a special speaker event exploring Magnifica Humanitas, Pope Leo XIV's recent reflection on artificial intelligence and human dignity.

As AI becomes an increasingly important part of our lives, questions about ethics, responsibility, and the future of humanity are becoming more urgent. Magnifica Humanitas considers how artificial intelligence can be developed and used in ways that respect human dignity, promote the common good, and ensure that technology serves people rather than the other way around.

A Catholic bishop will introduce the key themes of the document and explore what they mean for technology, society, public life, and innovation.

The event will include a talk followed by an audience Q&A, with opportunities to network before and afterwards. Whether you work in technology, study AI, are interested in ethics, or are simply curious about how society should respond to rapid advances in artificial intelligence, this event offers an opportunity to hear and discuss one of the latest contributions to the global conversation on AI.

Agenda

18:15–19:00: Arrivals and networking

19:00–20:00: Talk and Q&A

20:00 onwards: Optional networking

 

This event is organised by Thames Valley AI in partnership with Reading Tech Cluster.

It is open to students, staff, industry professionals, and members of the public.

For More Information email tvaihub@reading.ac.uk or call 0118 378 2272

Loading additional items please wait....

See also


Join our mailing list

Make a gift

Henley Business School Events

Museum of English Rural Life (MERL)

Museums and Collections events

Connecting Research events

  • Charitable Status
  • Accessibility
  • Privacy Policy
  • Cookie preferences
  • Terms of use
  • Sitemap

© University of Reading