Position

Helping machines to help us

Helping machines to help us

Societies are increasingly, and legitimately, concerned that automated decisions based on historical data can lead to unfair outcomes for disadvantaged groups. One of the most common pathways to unintended discrimination by AI systems is that they perpetuate historical and societal biases when trained on historical data. Two of our Principal Researchers, Simon O’Callaghan and Alistair Reid,...

Societies are increasingly, and legitimately, concerned that automated decisions based on historical data can lead to unfair outcomes for disadvantaged groups. One of the most common pathways to unintended discrimination by AI systems is that they perpetuate historical and societal biases when trained on historical data. Two of our Principal Researchers, Simon O’Callaghan and Alistair Reid,...

Related news

The massive change in how software is produced
Explainer

The massive change in how software is produced

A couple of years ago, "AI in coding" mostly meant autocomplete: a tool that finished your sentence as you typed, like predictive text for programmers. It was useful, but modest. The human did the engineering while the machine saved keystro...

Read more
Australian AI Safety Forum 2026
Event

Australian AI Safety Forum 2026

Join us for this two-day interdisciplinary forum grounded in the science of AI safety as explored in the International AI Safety Report, as we bring together people from across research, government, industry and civil society to shape Austr...

Read more
Emily Low Joins Gradient Institute
News

Emily Low Joins Gradient Institute

We're delighted to welcome Emily Low to the Gradient team!

Read more

Let's navigate AI responsibly together.

Contact us