When it comes to jobs, AI does not like parents
New University of Melbourne research finds that AI doesn’t just discriminate against women in the workforce – but also has a problem with parents.
The flawed algorithm at the heart of Robodebt
Robodebt shows us that automated decision-making algorithms encode the biases of the people and policies that conceive them, say University of Melbourne experts
AI, automation and women
On International Women's Day, University of Melbourne experts ask what the expansion of technologies like AI and automation mean for the futures of women.
The satellite data mapping Australia’s new climate extremes
New University of Melbourne research is using data from satellites to help us better anticipate and adapt to climate change extremes in Australia.
Is sentience really the debate to have?
Debate over the alleged sentience of LaMDA continues, but University of Melbourne experts say there are bigger questions about AI’s overall lack of transparency
Why are we so vulnerable to bad information?
Identifying misinformation is difficult, but we can make it easier by being aware of our biases and wary of strong emotions, says University of Melbourne expert
Forecasting landslides from space
A new data-driven tool uses satellites to predict devastating natural disasters with pinpoint accuracy before they occur shows University of Melbourne research
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
Hey Siri, how’s my mental health?
Science Gallery Melbourne's MENTAL: Head Inside explores the role of conversational systems in future mental healthcare and their potential to cut e-waste.
AI and humans: collaboration rather than domination
When algorithms make important decisions, we also need to involve humans who understand the context, explains University of Melbourne's Jeannie Paterson