‘Algorithmic Justice’ Study Could Cut Pre-Trial Crime By 25%
US data scientists have developed a new algorithmic analysis they believe could help judges to reduce crime by up to 25% in certain situations. The work led by Cornell University’s, Jon Kleinberg (pictured above) and his team, and published in a paper this month titled 'Human Decisions and Machine Predictions', looks at the decisions judges must make on…
Personnellement, cela me terrifie.