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| Professor Dan Hunter says it’s time to look at machine learning to identify bias in criminal sentencing. Photo: Swinburne University of Technology |
The Foundation Dean of Swinburne Law School, Hunter observed that sentencing generates a vast store of data, and the process is expensive for individuals and the system, making it the perfect candidate for a technological upgrade.
Artificial intelligence (AI) could also use the enormous volume of data available on sentencing decisions to identify bias and give guidance, he said.
In 2017, Hunter co-authored a paper on using AI technology in sentencing for the Criminal Law Journal with Swinburne colleague, Professor Mirko Bagaric, and Dr. Nigel Stobbs from the Queensland University of Technology.
The authors pointed out that sentencing decisions are influenced by more than 200 considerations. While judges and magistrates are reluctant to acknowledge it, decisions may be influenced by factors such as skin colour and socio-economic status...
New machine learning algorithms mean that AI can be taught to produce new answers by learning from existing data. In fact, AI programs are already hard at work in the legal system, with platforms including Neota, Logic, Kira and RAVN helping to streamline everything from compliance advice to contract review in large due-diligence projects.
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Source: Phys.Org
