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| − | =Blackbox Algorithms=
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| − | ==Introduction==
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| − | A '''black box algorithm''' is one where the user cannot see the inner workings of the algorithm. It is a rather controversial system, due to the secrecy they contain and the lack of transparency, although its creators defend it as a security and privacy system to avoid data leaks and unfair competition.[https://www.arimetrics.com/en/digital-glossary/black-box-algorithm#:~:text=A%20black%20box%20algorithm%20is,data%20leaks%20and%20unfair%20competition.] Black box algorithms are computer programs that make predictions or decisions based on a set of inputs, but the internal workings of the algorithm are not visible or transparent to the user. These algorithms are increasingly being used in areas such as criminal justice, finance, and healthcare, and their use has raised many important ethical and legal questions.One of the main concerns about black box algorithms is the potential for bias and discrimination. Since the internal workings of the algorithm are not transparent, it can be difficult to detect and correct for any biases that may be built into the system. This can lead to unfair and unjust outcomes, particularly for marginalized groups such as people of color and low-income individuals.
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| − | == Examples of Black Box Algorithms ==
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| − | ===Google===
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| − | ===COMPAS===
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| − | As technology advances, more and more decisions affecting individuals are being made by hidden algorithms in our society. One area where this has raised concern is in the criminal justice system, specifically regarding the fairness and due process of these algorithms. One example of a widely-used, yet secretive algorithm is COMPAS (which stands for Correctional Offender Management Profiling for Alternative Sanctions) has been the focus of many legal challenges. COMPAS is a an algorithm that is frequently employed in the criminal justice system that is intended to forecast the risk that offenders would reoffend. In order to help ensure public safety and lower recidivism, the algorithm is used to help guide choices concerning bail, sentence, and parole.
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| − | The ability of COMPAS to lessen prejudice and discrimination in the criminal justice system is one of its main advantages. The algorithm can assist in ensuring that choices concerning bail, sentencing, and parole are based on objective criteria rather than on subjective judgments or prejudices by employing a standardized, data-driven approach. By doing this, you may make sure that criminals receive proper punishment and that the judicial system is more egalitarian.
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| − | A further advantage of COMPAS is that it can The effectiveness of the criminal justice system can be improved by compas. The algorithm can help to ensure that offenders are placed in the proper degree of supervision and that resources are directed to those who are most likely to reoffend by providing a more precise and objective estimate of the risk of recidivism. By doing so, you can improve public safety and lower the overall cost of the criminal justice system.
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| − | Despite these advantages, there are significant drawbacks to using COMPAS. The algorithm's lack of transparency and difficulty in comprehending how it generates predictions is one of the primary issues. Due to this, it may be challenging to verify if the algorithm is impartial and free from prejudice.
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| − | ===Medical Algorithms===
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| − | ==Ethical Concerns==
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| − | ==References==
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