Democratic self-regulation and fairness in future cyber societies

Start date and time

Wednesday 6 November 2019

Location

16:00-17:00 in room C44, Merchiston Campus

Prof. Michael Rovatsos from Edinburgh University will be giving the following seminar – all welcome to attend:

Michael is Professor of Artificial Intelligence at the School of Informatics and Director of the Bayes Centre, the University's innovation hub for Data Science and AI. He is also the Turing University Lead for the University of Edinburgh at the Alan Turing Institute, the UK's National Institute for Data Science and AI.
His research develops AI algorithms and architectures to support collaboration between humans. Think sharing economy, electronic markets, logistics and supply chains, or complex financial services. Making AI safe and ensuring it behaves in responsible ways is an important part of this vision.


Democratic self-regulation and fairness in future cyber societies

Ubiquitous connectivity among the world's citizen through online
platforms has brought the promise not only of being able to leverage
intelligence and knowledge through crowdsourcing and human
computation on a massive scale, but also to use such platforms to
democratise digitally mediated decision making by capturing the views
opinions of many citizens in novel ways, and allowing them to
the 'social contract' they would like their societies to
implement. However, we now see many examples which put this optimistic
vision of a future cybersociety into doubt, and evidence is mounting
that many of these systems will inherit human biases, prejudice and
discriminatory practices. In this talk, I will report on some of our
work with users around understanding their ideas of fairness and the
challenges involved, and present some theoretical arguments on
'democratic self-regulation of collectives', in an attempt to shed
Some light on these challenges and suggest possible solutions and
avenues for future research.