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      Possible ethics on machine learning biases and their impacts in future prospects

      Preprint
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      research-article
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      ScienceOpen Preprints
      ScienceOpen
      machine learning, ML
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            Abstract

            The article states some examples for machine learning bias and ethical dilemmas that occur due to progressive improvement in machine learning based on previous studies by web research. The article evaluates the history of traditional programming to machine learning and explains how ML is implemented and how it lead to efficiency in banking, criminal justice , and medical fields. This also explains the possible bias that can occur by using the algorithmic systems in the society and ethical dilemmas regarding the ML in accordance with previously conducted studies. Finally it explains how to attain a better future with unbiased algorithmic process which will drive the society into a pleasant and fairer offers and decisions.

            Content

            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            8 May 2021
            Affiliations
            [1 ] UNICAMP - Universidade Estadual de Campinas
            Article
            10.14293/S2199-1006.1.SOR-.PPPU2FG.v1
            0ec722fa-5c81-4c9d-aefa-cd403523b09d

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .


            Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            Artificial intelligence
            machine learning,ML

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