The Algorithmic Future of Healthcare: Reimagining Public Values KU Leuven
Policy responses to current developments typically invoke values such as fairness, accountability and transparency (Zarsky 2013; Crawford & Schultz 2014), in order to address issues around discrimination and bias in machine learning and algorithms (Dwork et al. 2012; Kleinberg et al. 2017; Hardt et al. 2016). These values, however, are often understood in narrow, technical senses (Kearns et al. 2016) and it is unclear how they relate to, ...