Beyond Calibration: Links to Algorithmic Fairness and Impact in Decision-Making
As machine learning is seeping into all strata of modern societies, it is increasingly used to automate decisions or draw conclusions. However, myriads of recent examples have revealed patent discrimination: Flickr’s and Google Photos’ image labeling in 2015 [1], recidivism risk assessment with COMPAS in 2016 [2], Amazon’s job application review in 2018 [3], Twitter’s image cropping in 2020 [4], DALL-E image generator in 2021 [5], etc. All displayed strong ethnic or gender biases.