Artificial Intelligence for Law Enforcement and Community Safety

Ethical. Transparent. Effective.

A Collaboration

Our Work

Some of our projects and initiatives that are helping to keep us safe

Using AI to detect the presence of Child Sexual Abuse Material (CSAM) online

Ensuring that all data used to train our AI models is ethically sourced.

Using AI to detect the presence of illegal firearms

Featured Articles:

The survivors’ perspective: Informing Policy and Practice in the Fight Against Child Exploitation and Abuse

A world first research project led by Monash University experts is seeking perspectives from adult victims and survivors of child sexual abuse and exploitation, to inform and develop survivor-centred policy and practice.

The Data Airlock

One of the challenges in the AiLECS lab is finding ways to deeply collaborate with our AFP colleagues in machine learning model development. It’s one thing to sit around a whiteboard, spit balling architectures and algorithms and talking in generalities about data. But when it comes to actually working together to develop and tune models using real-world operational data, things rapidly become tricky – as this data cannot ordinarily be shared.

My Pictures Matter

Monash University experts are calling for people to contribute to a world first ethically-sourced and managed image bank for research to combat child exploitation.

The project is an initiative of the AiLECS Lab – a collaboration between Monash University’s Faculty of Information Technology and the Australian Federal Police – which develops artificial intelligence (AI) technologies that aid law enforcement and enhance community safety.