Corpus ID: 201666566

A Survey on Bias and Fairness in Machine Learning

  title={A Survey on Bias and Fairness in Machine Learning},
  author={Ninareh Mehrabi and Fred Morstatter and Nripsuta Saxena and Kristina Lerman and A. Galstyan},
  • Ninareh Mehrabi, Fred Morstatter, +2 authors A. Galstyan
  • Published 2019
  • Mathematics, Computer Science
  • ArXiv
  • With the widespread use of AI systems and applications in our everyday lives, it is important to take fairness issues into consideration while designing and engineering these types of systems. Such systems can be used in many sensitive environments to make important and life-changing decisions; thus, it is crucial to ensure that the decisions do not reflect discriminatory behavior toward certain groups or populations. We have recently seen work in machine learning, natural language processing… CONTINUE READING
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    Towards Threshold Invariant Fair Classification


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