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FairyTED: A Fair Rating Predictor for TED Talk Data
[article]
2019
arXiv
pre-print
With the recent trend of applying machine learning in every aspect of human life, it is important to incorporate fairness into the core of the predictive algorithms. We address the problem of predicting the quality of public speeches while being fair with respect to sensitive attributes of the speakers, e.g. gender and race. We use the TED talks as an input repository of public speeches because it consists of speakers from a diverse community and has a wide outreach. Utilizing the theories of
arXiv:1911.11558v1
fatcat:gxy6ysg3o5e5tp76c5yxnbhxni