Artifically intelligent ‘judge’ developed which can predict court verdicts with 79 per cent accuracy

Artifically intelligent ‘judge’ developed which can predict court verdicts with 79 per cent accuracy

By Sarah Knapton, science editor  24 OCTOBER 2016 • 12:05AM

A computer ‘judge’ has been developed which can correctly predict verdicts of the European Court of Human Rights with 79 per cent accuracy.

Computer scientists at University College London and the University of Sheffield developed an algorithm which can not only weigh up legal evidence, but also moral considerations.

As early as the 1960s experts predicted that computers would one day be able to predict the outcomes of judicial decisions.

But the new method is the first to predict the outcomes of court cases by automatically analysing case text using a machine learning algorithm.

“We don’t see AI replacing judges or lawyers, but we think they’d find it useful for rapidly identifying patterns in cases that lead to certain outcomes,” said  Dr Nikolaos Aletras, who led the study at UCL Computer Science.

“It could also be a valuable tool for highlighting which cases are most likely to be violations of the European Convention on Human Rights.”

The European Court of Human Rights

To develop the algorithm, the team allowed an artificially intelligent computer to scan the published judgements from 584 cases relating to torture and degrading treatment, fair trials and privacy.

They computer learned that certain phrases, facts, or circumstances occurred more frequently when there was a violation of the human rights act. After analysing hundreds of cases the computer was able to predict a verdict with 79 per cent accuracy.

“Previous studies have predicted outcomes based on the nature of the crime, or the policy position of each judge, so this is the first time judgements have been predicted using analysis of text prepared by the court,” said co-author, Dr Vasileios Lampos, UCL Computer Science.

“We expect this sort of tool would improve efficiencies of high level, in demand courts, but to become a reality, we need to test it against more articles and the case data submitted to the court.

“Ideally, we’d test and refine our algorithm using the applications made to the court rather than the published judgements, but without access to that data we rely on the court-published summaries of these submissions.

The team found that judgements by the European Court of Human Rights are often based on non-legal facts rather than directly legal arguments, suggesting that judges are often swayed by moral considerations father than simply sticking strictly to the legal framework.

Co-author Dr Dimitrios Tsarapatsanis, a law lecturer from the University of Sheffield, said: "The study, which is the first of its kind, corroborates the findings of other empirical work on the determinants of reasoning performed by high level courts.

"It should be further pursued and refined, through the systematic examination of more data."

The research was published in the journal Computer Science.


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