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When Artificial Intelligence affects lives

When Artificial Intelligence affects livesDespite our previous coverage of some major issues with AI in its current form, people still entrust very important matters to robot assistants. Self-learning systems are already helping judges and doctors make decisions, and they can even predict crimes that have not yet been committed. Yet users of such systems are …

  • 12 Feb 2019
3 min read
When Artificial Intelligence affects lives
Despite our previous coverage of some major issues with AI in its current form, people still entrust very important matters to robot assistants. Self-learning systems are already helping judges and doctors make decisions, and they can even predict crimes that have not yet been committed. Yet users of such systems are often in the dark about how the systems reach conclusions. All rise, the court is now booting up In US courts, AI is deployed in decisions relating to sentencing, preventive measures, and mitigation. After studying the relevant data, the AI system considers if a suspect to be prone to recidivism, and the decision can turn probation into a real sentence, or lead to bail refusal. For example, US citizen Eric Loomis was sentenced to six years in jail for driving a car in which a passenger fired shots at a building. The ruling was based on the COMPAS algorithm, which assesses the danger posed by individuals to society. COMPAS was fed the defendant’s profile and track record with the law, and it identified him as an “individual who is at high risk to the community.” The defense challenged the decision on the grounds that the workings of the algorithm were not disclosed, making it impossible to evaluate the fairness of its conclusions. The court rejected this argument. Electronic clairvoyants: AI-powered crime prediction Some regions of China have gone a step further, using AI to identify potential criminals. Facial-recognition cameras monitor the public and report to law enforcement authorities if something suspicious swims into view. For example, someone who makes a large purchase of fertilizer might be preparing a terrorist attack. Anyone guilty of acting suspiciously can be arrested or sent to a reeducation camp. Pre-crime technology is being developed in other countries as well. Police in some parts of the United States and Britain use technology to predict where the next incident is most likely to occur. Many factors are considered: the area’s criminal history, its socioeconomic status, and even the weather forecast. Remarkably, since the tools’ deployment in Chicago districts, gun crime there has dropped by about a third. The computer will see you now New technologies are also widely used in healthcare. Artificial doctors consult patients, make diagnoses, analyze checkup results, and assist surgeons during operations. One of the best-known self-learning systems in healthcare is IBM Watson Health. Doctors coach the AI to diagnose diseases and prescribe therapy. Watson Health has had a lot of positive feedback. Back in 2013, for example, the probability that the supercomputer would select the optimal treatment plan was put at 90%. However, in the summer of 2018, it was revealed that some of the system’s cancer treatment advice was unsafe. In particular, Watson recommended that a cancer patient with severe bleeding be given a drug that could cause even more blood loss. Fortunately, the scenarios were hypothetical, not real cases. Sure, human doctors make mistakes too, but when AI is involved, the lines of responsibility are blurred. Would a flesh-and-blood doctor
Source: Kaspersky Lab official blogPublished on 2019-02-12
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  • 12 Feb 2019

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