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  1. Biased Humans, (Un)Biased Algorithms?Florian Pethig & Julia Kroenung - 2022 - Journal of Business Ethics 183 (3):637-652.
    Previous research has shown that algorithmic decisions can reflect gender bias. The increasingly widespread utilization of algorithms in critical decision-making domains (e.g., healthcare or hiring) can thus lead to broad and structural disadvantages for women. However, women often experience bias and discrimination through human decisions and may turn to algorithms in the hope of receiving neutral and objective evaluations. Across three studies (N = 1107), we examine whether women’s receptivity to algorithms is affected by situations in which they believe that (...)
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  • Objectivity, value-free science, and inductive risk.Paul Hoyningen-Huene - 2023 - European Journal for Philosophy of Science 13 (1):1-26.
    In this paper I shall defend the idea that there is an abstract and general core meaning of objectivity, and what is seen as a variety of concepts or conceptions of objectivity are in fact criteria of, or means to achieve, objectivity. I shall then discuss the ideal of value-free science and its relation to the objectivity of science; its status can be at best a criterion of, or means for, objectivity. Given this analysis, we can then turn to the (...)
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