Civil Rights & Constitutional Law


AI 'lawyer' correctly predicts outcomes of human rights trials

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Researchers from the University of Sheffield, the University of Pennsylvania and University College London programmed the machine to analyse text from cases heard at the European Court of Human Rights (ECtHR) and predict the outcome of the judicial decision. "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," explained Dr Nikolaos Aletras, who led the study at UCL Computer Science. The team of computer and legal scientists extracted case information published by the ECtHR in their openly accessible database. The researchers identified English language data sets for 584 cases relating to Articles 3, 6 and 8 of the Convention and applied an AI algorithm to find patterns in the text.


This AI predicts the outcome of human rights trials

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"The court has a huge queue of cases that have not been processed and it's quite easy to say if some of them have a high probability of violation, and others have a low probability of violation," said Vasileios Lampos, also a UCL scientist and co-author of the study. To do this, the scientists fed a database of court decisions into a natural language processing neural network. He has written on culture, politics, travel, tech, business, human rights, for local, national, and international news services and magazines. He has a keen interest in the role technology is playing in the transformation of society, culture and politics, especially in developing nations.


AI predicts outcomes of human rights trials

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A team of computer and legal scientists from the UK worked alongside Daniel Preoțiuc-Pietro – a postdoctoral researcher in natural language processing and machine learning from the University of Pennsylvania – to extract case information published by the ECtHR. They identified English language data sets for 584 cases relating to Articles 3, 6 and 8 of the Convention. Article 3 forbids torture and inhuman and degrading treatment (250 cases); Article 6 protects the right to a fair trial (80 cases) and Article 8 provides a right to respect for one's "private and family life, his home and his correspondence" (254 cases). They then applied an AI algorithm to find patterns in the text.


AI predicts outcomes of human rights trials

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The judicial decisions of the European Court of Human Rights (ECtHR) have been predicted to 79% accuracy using an artificial intelligence (AI) method developed by researchers at UCL, the University of Sheffield and the University of Pennsylvania. It could also be a valuable tool for highlighting which cases are most likely to be violations of the European Convention on Human Rights," explained Dr Nikolaos Aletras, who led the study at UCL Computer Science. "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," explained co-author, Dr Vasileios Lampos, UCL Computer Science. They identified English language data sets for 584 cases relating to Articles 3, 6 and 8* of the Convention and applied an AI algorithm to find patterns in the text.


Ethical AI predicts outcome of human rights trials

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Artificial intelligence researchers have developed software that is capable of making complex decisions to accurately predict the outcome of human rights trials. The AI "judge" was developed by computer scientists at University College London (UCL), the University of Sheffield and the University of Pennsylvania using an algorithm that analyzed the text of cases at the European Court of Human Rights. Despite the accuracy of the latest algorithm's predictions, the researchers do not predict it will replace human judges any time soon. "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 Nikolaos Aletras, who led the study at UCL Computer Science.


An AI predicted the outcome of over 75% of human rights trials

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A team of researchers has used an artificial intelligence system to correctly predict the outcome of hundreds of human rights cases. Alertras added that AI could be a "valuable tool" for highlighting cases that are most likely to be violations of the European Convention on Human Rights. The AI was able to trawl through 584 published cases, identify patterns and conclude whether they marked a "violation" or "non-violation" of the law. The chosen cases all related to one of three core articles of the Convention on Human Right: cases involving torture, rights to a fair trial and respect for private life.


Artificial Intelligence Predicts Outcomes of Human Rights Trials –

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Using Artificial intelligence (AI) or machine learning technology, a team of researchers has predicted outcomes in judicial decisions at the European Court of Human Rights (EctHR) with 79 per cent accuracy. The AI method, developed by researchers from University College London (UCL), University of Sheffield and US-based University of Pennsylvania is the first to predict the outcomes of a major international court by automatically analysing case text using a machine learning algorithm. The team along with Daniel Preotiuc-Pietro from University of Pennsylvania extracted case information published by the ECtHR in their publically accessible database. They identified English language data sets for 584 cases applied an AI algorithm to find patterns in the text.


Artificially intelligent 'judge' predicts result of human rights trials with 79% accuracy

Daily Mail

But a new study claims to have developed an AI that predict the results of human rights trials with 79 per cent accuracy. The team identified English language data sets for 584 cases relating to Articles 3, 6 and 8* of the European Convention of Human Rights. '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,' explained co-author, Dr Vasileios Lampos, UCL Computer Science. The team identified English language data sets for 584 cases relating to Articles 3, 6 and 8* of the European Convention of Human Rights.


Now, Artificial Intelligence can predict outcomes of human rights trials - The Economic Times

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LONDON: Using Artificial intelligence (AI) or machine learning technology, a team of researchers has predicted outcomes in judicial decisions at the European Court of Human Rights (EctHR) with 79 per cent accuracy. The AI method, developed by researchers from University College London (UCL), University of Sheffield and US-based University of Pennsylvania is the first to predict the outcomes of a major international court by automatically analysing case text using a machine learning algorithm. The team along with Daniel Preotiuc-Pietro from University of Pennsylvania extracted case information published by the ECtHR in their publically accessible database. They identified English language data sets for 584 cases applied an AI algorithm to find patterns in the text.


Artificial Intelligence predicts outcomes of human rights trials

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London, Oct 24 (IANS) Using Artificial intelligence (AI) or machine learning technology, a team of researchers has predicted outcomes in judicial decisions at the European Court of Human Rights (EctHR) with 79 per cent accuracy. The AI method, developed by researchers from University College London (UCL), University of Sheffield and US-based University of Pennsylvania is the first to predict the outcomes of a major international court by automatically analysing case text using a machine learning algorithm. The team along with Daniel Preotiuc-Pietro from University of Pennsylvania extracted case information published by the ECtHR in their publically accessible database. They identified English language data sets for 584 cases applied an AI algorithm to find patterns in the text.