Big data and artificial intelligence are the hottest topics this year. They are in full swing in the judicial field. The paradigm revolution in justice in the era of big data has come. However, the disadvantages of profit taking will also follow. If you do not fully understand the risks of big data and artificial intelligence, and you cannot make a cold thought while you are passionate, you may have many unpredictable consequences.
The first is the security of big data and artificial intelligence. Although this issue is a commonplace, it may be time-honored under the background of the era of Internet crimes turning from attacks on computers and the network itself to complete virtual crimes. At present, in Internet crimes, there have been a large number of cases in which criminals have accepted entrustment from others and invaded the computer systems of government departments and enterprises and institutions to modify data and intercept and modify computer information and data. Therefore, I do not think there is any reason to believe that judicial big data can be effective. After all, no place in the Internet crime ocean is an absolute security island.
Second, it is the reliability of big data and artificial intelligence. An example is the controversy and litigation surrounding the COMPAS sentencing procedure adopted by the Wisconsin State Court. Some researchers believe that COMPAS tends to overestimate the possibility of recidivism in certain populations, and this may reflect the designer's inherent bias. If the data analysis itself is subject to bias, then can the decisions based on this artificial intelligence be reliable? What is even more worrying is that a considerable number of artificial intelligence systems rely on machine learning algorithms. This algorithm is almost a "black box", because the algorithm's developer is also difficult to explain the algorithm's true operating mechanism and the possible consequences. The law is the technique of good and fair. When the judiciary embraces science and technology, if humans hand over the right of fairness and justice to the algorithm, then people will face the problem of justice and technology who will laugh at the last.
But cold thinking about big data and artificial intelligence does not mean rejection of them. The use of big data and artificial intelligence in the judicial field is a general trend. If it is rejected because of their existing defects, it is undoubtedly due to defamation. In fact, in the future, as more and more data are available, more and better tools have been developed, and the concerns that people face today may be eased. But everyone must clearly understand that big data and artificial intelligence are a double-edged sword. If you cannot correctly evaluate and treat the risks it may pose, you may have unpredictable consequences.
Big data and artificial intelligence do not exempt anyone from the responsibility of making judgments. Because this responsibility belongs to the core area of ​​human beings - rationality. In the final analysis, big data and artificial intelligence are merely products of human reason. Blindly meeting the product of rationality and attempting to exempt one's own responsibility from being an irrational manifestation. Correctly understanding the irrationality contained in the product of rationality in order to perform its responsibilities better is the manifestation of rationality.
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