- Professor Tim Miller
Co-director, Centre for Artificial Intelligence and Digital Ethics (CAIDE); Director of Learning, School of Computing and Information Systems. Faculty of Engineering and Information Technology, University of Melbourne
Lawyers must adapt to the age of digitalisation
Facial recognition technology highlights the need for lawyers to be trained in the legal risks of emerging technologies say University of Melbourne experts.
Technodystopia: Are we heading towards a real-world Blade Runner?
Blade Runner depicted a technodystopian future. Almost 40 years on, University of Melbourne experts say some of these projections can now seem eerily accurate.
Challenging decisions made by algorithm
If an algorithm makes an unfair decision about you, a lack of process makes it hard to challenge, appeal or even contest it, say University of Melbourne experts
Surveillance: What is it good for?
Online monitoring raises serious issues but applying ethics and rights can help make it fair and accountable, say University of Melbourne experts.
Data isn’t neutral and neither are decision algorithms
The UK's attempt to use algorithms to estimate school scores is a reminder of the need to keep humans in automated decisions say University of Melbourne experts
The privacy paradox: Why we let ourselves be monitored
Devices like digital assistants are convenient but why do we trade off our privacy? University of Melbourne experts give some simple steps on staying private.
Are our new virtual workplaces equitable?
COVID-19 has changed the way many of us work, but University of Melbourne experts say our new virtual workplaces raise questions over equity.
The cost to freedom in the war against COVID-19
Mass digital surveillance is being used around the world to control COVID-19. University of Melbourne experts warn of the risks to citizens' privacy and freedom
Will a computer take your job?
Although many predict that computers could become smarter than us, a University of Melbourne experts says we shouldn't forget people power in the age of AI.
What were you thinking?
University of Melbourne research explores Explainable AI which seeks to understand why AI makes some decisions and their correctness, fairness and transparency.