The ATO used AI to identify more than $530m of unpaid tax bills and stop $2.5bn of fraud.
Natural language models had scoured the Panama Papers detecting $242million owed by tax evaders.
All uses of automation and AI have decision controls and human oversight.
The Australian Taxation Office has used artificial intelligence on an industrial scale to identify more than $530 million of unpaid tax bills and stop $2.5 billion being fraudulently claimed.
ATO deputy commissioner Marek Rucinski said the agency’s deep learning models had helped his staff identify $295 million in superannuation guarantee underpayments, and natural language models had scoured leaked documents, such as the Panama Papers, to detect $242 million owed by tax evaders since 2018.
Loading...
Tess Bennett is a technology reporter with The Australian Financial Review, based in the Brisbane newsroom. She was previously the work & careers reporter. Connect with Tess on Twitter. Email Tess at tess.bennett@afr.com
