Australian Federal Police leverage AI for investigations

An AI adoption to manage data deluge and balance innovation with ethical oversight.

Australia, Cybersecurity, Cyberattacks, Risk assessment, Hackers, Data protection

The Australian Federal Police (AFP) is increasingly turning to AI to handle the vast amounts of data it encounters during investigations. With investigations involving up to 40 terabytes of data on average, AI has become essential in sifting through information from sources like seized phones, child exploitation referrals, and cyber incidents. Benjamin Lamont, AFP’s manager for technology strategy, emphasised the need for AI, given the overwhelming scale of data, stating that AI is crucial to help manage cases, including reviewing massive amounts of video footage and emails.

The AFP is also working on custom AI solutions, including tools for structuring large datasets and identifying potential criminal activity from old mobile phones. One such dataset is a staggering 10 petabytes, while individual phones can hold up to 1 terabyte of data. Lamont pointed out that AI plays a crucial role in making these files easier for officers to process, which would otherwise be an impossible task for human investigators alone. The AFP is also developing AI systems to detect deepfake images and protect officers from graphic content by summarising or modifying such material before it’s viewed.

While the AFP has faced criticism over its use of AI, particularly for using Clearview AI for facial recognition, Lamont acknowledged the need for continuous ethical oversight. The AFP has implemented a responsible technology committee to ensure AI use remains ethical, emphasising the importance of transparency and human oversight in AI-driven decisions.