AI: Facts, Fictions, Futures

Loughborough University’s Institute of Advanced Studies (IAS) is delighted to announce AI: Facts, Fictions, Futures, as the IAS Annual Theme for 2021-22. IAS Annual Themes run across the academic year, bringing leading international researchers to the University to work with colleagues in areas of established and emergent research excellence, catalysed by the Theme.

AI: Facts, Fictions, Futures is led by Prof Jin Xuan (AACME), Dr Lise Jaillant (SSH), Prof Qinggang Meng, (Comp Sci), Dr Amalia Sabiescu (Loughborough London), Prof Andrew Morris (DCA) and Prof Mohammed Quddus, (ABCE).

The development of artificial intelligence is largely computer science based, but its real-world applications are truly interdisciplinary. AI: Facts, Fictions, Futures examines the  interdisciplinary developments and applications of AI alongside its social impact and consequences.

Through an exciting programme running over the course of the academic year, the IAS will welcome globally leading researchers in the field to Loughborough to work collaboratively with LU colleagues to explore the dynamic terrain of AI in contemporary life.

AI: Facts, Fictions, Futures is organised through a series of cross-disciplinary strands:

17th November 2021

Launch of the IAS Annual Theme AI: Facts, Fictions, Futures
Film Screening, followed by a Panel Discussion 

Coded Bias (2020)
A documentary by Shalini Kantayya

The IAS Annual Theme of 2021-22 will be launched in November with an in person screening of Shalini Kantayya’s multi-award-winning documentary Coded Bias, followed by a panel discussion Chaired by Professor Jin Xuan (AACME), Co-Lead of the IAS Theme, that will include IAS Visiting Fellows, invited scholars and Loughborough’s new Vice Chancellor, Professor Nick Jennings.

Focusing on MIT Media Lab researcher Joy Buolamwini’s discovery that many facial recognition technologies misclassify women and darker-skinned faces, Coded Bias raises compelling issues regarding the ubiquity of AI in everyday life and the impact of widespread algorithmic bias on matters of social justice, equity and governance. W‌atch the Coded Bias trailer.

For more information and to book onto this event click here.

Week of 24th January 2022

AI for Interdisciplinary Scientific Discovery

Convened by: Jin Xuan, Valerie Pinfield, Amalia Sabiescu

IAS Visiting Fellows in residence:
Ankit Agrawal, Northwestern University
Gareth Conduit, Cambridge University
Raffaella Ocone, Heriot-Watt University
Isao Tanaka, University of Kyoto

Week of 28th March 2022

AI and Cultural Heritage

Convened by: Lise Jaillant, Amalia Sabiescu, Rachael Grew

IAS Visiting Fellows in residence:
Ryan Cordell, Northeastern University
Ahmed Elgammal, Rutgers University
Chao Tayiana Maina, African Digital Heritage
Oonagh Murphy, Goldsmiths
Thomas Padilla, University of Nevada, Las Vegas
Güzden Varinlioğlu, Izmir University of Economics
Claire Warwick, Durham University

Week of 25th April 2022

Unlocking the Power of Artificial Intelligence for Real World Challenges

Convened by:  Qinggang Meng, Georgina Cosma, Wen-hua Chen, Haibin Cai, Syeda Fatima

IAS Visiting Fellows in residence:
Plamen Angelov, Lancaster University
Jianwei Zhang, University of Hamburg
Angelo Cangelosi, University of Manchester
Bram Vanderborght, Vrije Universiteit Brussel
Kate Larson, University of Waterloo
Shih-Chii Liu,  ETH Zürich

Week of 27th June 2022

AI and Smart Mobility

Convened by:  Andrew Morris, Ashliegh Filtness, Mohammed Quddus, Haitao He

IAS Visiting Fellows in residence:
Mohamed Abdel-Aty, University of Central Florida
Nikolas Geroliminis, EPFL Switzerland
Sebastien Glaser, CARRS-Q, Queensland University of Technology
Andy Rakotonirainy, CARRS-Q, Queensland University of Technology
Xuesong Wang, Tongji University

Week of 4th July 2022

Social Impacts and Consequences of AI

Convened by:  Amalia Sabiescu, Lise Jaillant, Adrian Leguina

IAS Visiting Fellows in residence:
Veronica Barassi, University of St Gallen, Switzerland
Stephen Cave, Leverhulme Centre for the Future of Intelligence, Cambridge University
Virginia Dignum, Umeå University, Delft University of Technology
Lauren Klein, Emory University
Jonathan Roberge, National Institute of Scientific Research, Canada