Datarequest
- Title:
- Bias in recidivism algorithms
- Requested data:
- Dataset van verdachten van misdrijven; per leeftijd, geslacht en recidive
- Requested period:
- 11/28/2000 - 00:00 till 11/28/2018 - 00:00
- Usage:
- Machine Learning has the potential of improving decision making by eliminating pontential human biases. However, due to the already existing biases in data, the resulting algorithm might inherit the biases of human and the machine learning model might behave in an unfair manner, for example discriminating towards a particular protected group. In this research we propose a machine learning method to predict recidivism and we discuss the potential problems with it and ways to mitigate them .