Transdisciplinary AI with Frank Dignum
The Centre for AI and Digital Ethics is very excited to welcome Frank Dignum, Professor of AI and Wallenberg Chair in AI at Umeå University, Sweden.
In the past decade machine learning has achieved some amazing results. This has led many people to believe that if we just continue a bit more we will be able to achieve general artificial intelligence.
Some believe that we have already achieved this with ChatGPT. However, the current data-centric machine learning focus has some severe limitations and consequences.
Taking a more interdisciplinary approach to AI will shed a new light on the current developments and hopefully lead to AI for the social good.
Frank will discuss this using his experience in projects within academia and with industry and public organisations.
Note: This is a dual speaker event and will be hosted in-person only, Frank will be discussing Transdisciplinary AI from 12.00pm, lunch will be served at 1.00pm and we will then hear from Matthew Dennis, on Repurposing Persuasive Technologies for Digital Wellbeing at 1.45pm. Sign up for Matthew’s event here.
- Frank Dignum is Professor of AI and Wallenberg Chair in AI at Umeå University, Sweden and a Fellow of the European Artificial Intelligence Association.
- He is the inaugural Director of Umeå University’s Centre for Transdisciplinary AI for the Good of All, (TAIGA), leading research on AI in eight interdisciplinary areas ranging from AI & Law and AI & Health to AI & Arts and Understanding AI.
- The emphasis in this research is not just the use of machine learning in these areas, but also the insights these disciplines can give on the use of AI in society, sometimes leading to new AI techniques.
- Professor Dignum has an international profile for his work on software agents, multi-agent systems and fundamental aspects of social agents and is leading a research group on socially aware AI that creates computational models of social aspects such as norms, values, practices, and conventions.
- Professor Dignum has been actively associated with colleagues at the University of Melbourne for over two decades, including active co-supervision of University of Melbourne PhD candidates and as a PI on four successful ARC projects.