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#878 Vlasta Sikimić: Epistemic Attitudes in Science, Epistemic Efficiency, and Epistemic Equity

The Dissenter

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Biases in Machine Learning Algorithms

In this chapter, the hosts discuss the potential biases that can be present in machine learning algorithms, highlighting the role of input data and programming. They emphasize the need for less biased data and caution against algorithms being seen as perfectly objective. They illustrate the issue with a problematic algorithm in the UK that assessed students' performance based on factors like location and school ranking.

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