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Scientists Create AI Program That Can Predict Human Rights Trials With 79 Percent Accuracy (theverge.com)

An anonymous reader quotes a report from The Verge: Computer scientists have created an AI program capable of predicting the outcome of human rights trials. The program was trained on data from nearly 600 cases brought before the European Court of Human Rights (ECHR), and was able to predict the court's final judgement with 79 percent accuracy. Its creators say it could be useful in identifying common patterns in court cases, but stress that they do not believe AI will be able to replace human judgement. As described in a study published in the journal PeerJ Computer Science, the AI program worked by analyzing descriptions of court cases submitted to the ECHR. These descriptions included summaries of legal arguments, a brief case history, and an outline of the relevant legislation. The cases were grouped into three main violations of human rights law, including the prohibition on torture and degrading treatment; the right to a fair trial; and the right to "respect for private and family life." (Used in a wide range of cases including illegal searches and surveillance.) The AI program then looked for patterns in this data, correlating the courts' final judgements with, for example, the type of evidence submitted, and the exact part of the European Convention on Human Rights the case was alleged to violate. Aletras says a number of patterns emerged. For example, cases concerning detention conditions (eg access to food, legal support, etc.) were more likely to end in a positive judgement that an individual's human rights had been violated; while cases involving sentencing issues (i.e., how long someone had been imprisoned) were more likely to end in acquittal. The researchers also found that the judgements of the court were more dependent on the facts of the case itself (that is to say, its history and its particulars) than the legal arguments (i.e., how exactly the Convention on Human Rights had or had not been violated).

8 of 83 comments (clear)

  1. data analysis or "AI"? by sittingnut · · Score: 2

    why do people slap "AI" label on unnecessarily? publicity?

    "The AI program then looked for patterns in this data, correlating the courts' final judgements with, for example, the type of evidence submitted ...a number of patterns emerged ...For example, cases concerning detention conditions ... more likely ...cases involving sentencing ...more likely"

    this is mere data analysis. or is that what so called "AI" amount to?

    and this,
    "judgements of the court were more dependent on the facts of the case itself "
    duh?!
    how smart of so called "AI" to find that out?

    1. Re:data analysis or "AI"? by ShanghaiBill · · Score: 3, Insightful

      this is mere data analysis. or is that what so called "AI" amount to?

      "Mere" data analysis is when a human looks at the data and tries to find patterns. But it is "AI" when the algorithm is open ended, and finds it's own patterns and correlations. That is "machine learning" is certainly a branch of AI.

  2. AI by 110010001000 · · Score: 2

    God, not another "AI Program". We used to just call them programs.

    1. Re:AI by ArylAkamov · · Score: 4, Funny

      But it's twenty-sixteen! We future now!

      RC aircraft are DRONES
      Predictive models are ARTIFICIAL INTELLIGENCE
      Computer programs are APPS (APPING APPERS)!
      A can of wd-40 and a lighter is an LOL EPIC FLAMETHROWER!!1 ...The future sucks.

  3. Actually no. by goombah99 · · Score: 3, Informative

    You can't even tell if it's better than a coin toss. For this statistic to have any meaning at all you need to know the frequency the plaintiff wins. For example, let is suppose that the plaintiff wins in 79% of cases. Then an "AI" that merely always guess the plaintiff won would be correct in 79% of cases.

    In fact given that it's unlikely the outcome is 50:50, then one would expect that such a dumb algorithm would be correct more often than not just by always guessing one side. It would therefore take very little extra "intelligence" so boost it over the top. In particular such intelligence could be simply an artifact of the data set. As an example suppost the data set contained 10% of plaintiffs whose names started with R. If this group of people won more often than the avergage, then simply learing to guess "win" anytime there was a plaintiff with an "R" name would improve the test. This is true even if you split the data up into cross validation sets, as the bias for "R" will persist on any randomly Chosen subset as well.

    thus the results probably are meaningless. Certainly the article is.

    --
    Some drink at the fountain of knowledge. Others just gargle.
    1. Re:Actually no. by Shane_Optima · · Score: 2

      That's an interesting statistic of course, but it's a little less shocking or worrying than one might initially assume. For instance, I read that one of the reasons is that Japanese prosecutors will very rarely take something all the way to trial unless they are nearly positive they'll win--it's therefore as much a symbol of Japanese perfectionism / aversion to failure as anything else. Also, there's a lot of soft power in Japanese culture, so presumably they have other ways to pressure suspected criminals to stay in line in non-slam dunk cases... or maybe they have a lot of plea bargains, not sure. I never looked that far into it.

      The statistic that over 99% of people in modern Russia are convicted is more bluntly worrying to me. One might've hoped that, given their history, a distrust of authority would have taken root at some point, but this does not seem to be the case (or if it is, it's exceeded by the distrust of the accused.) And there's no use appealing to an overall lower trial rate or crime rate to explain that one.

    2. Re:Actually no. by tgv · · Score: 2

      Sorry, but you're wrong. The remark is about the performance. 79% means nothing without knowing the baseline of an uninformed method. I think you can agree that a coin toss will produce the proper result in 50% of all cases. So if the performance of a system on a binary choice is 50%, it's as good as a coin toss, no matter how it's implemented. Suppose you make a system that always prints "plaintiff wins". Then its performance will be the actual win rate for the plaintiff. If that happens to be 79%, the system's performance is 79% without any knowledge.

      How representative the sample set is, is another question all together.

      BTW, the actual numbers for 2015 are

      Refused: 2930
      Granted: 3433
      Denied: 588
      Total: 6951

      So granted is 85% of all cases. So a system just printing "granted" will perform better (if refused is left out of consideration).

  4. the endgame by prof_robinson · · Score: 2

    Seriously, what is the endgame here? Having robots adjudicate human rights? How in the world does that seem like progress to anyone?