@article{1484710,
      recid = {1484710},
      author = {Schäferling, Stefan,},
      title = {Governmental automated decision-making and human rights :  reconciling law and intelligent systems /},
      pages = {1 online resource.},
      abstract = {"With the growing capabilities of artificial intelligence,  governments are integrating AI technologies into  administrative and even judicial decision-making, aiding  and in some cases even replacing human decision-makers.  Predictive policing, automated benefits administration, and  automated risk assessment in criminal sentencing are but a  few prominent examples of a general trend. While the turn  towards governmental automated decision-making promises to  reduce the impact of human biases and produce efficiency  gains, reducing the human element in governmental  decision-making also entails significant risks. This book  analyses these risks through a comparative constitutional  law and human rights lens, examining US law, German law,  and international human rights law. It also highlights the  structural challenges that automation poses for legal  systems built on the assumption of exclusively human  decision-making. Special attention is paid to the question  whether existing law can adequately address the lack of  transparency in governmental automated decision-making, its  discriminatory processes and outcomes, as well as its  fundamental challenge to human agency. Building on that  analysis, it proposes a path towards securing the values of  human dignity and agency at the heart of democratic  societies and the rule of law in an increasingly automated  world. This book will be of interest to researchers and  scholars focusing on the evolving relationship of law and  technology as well as human rights scholars. Further, it  represents a valuable contribution to the debate on the  regulation of artificial intelligence and the role human  rights can play in that process."},
      url = {http://library.usi.edu/record/1484710},
      doi = {https://doi.org/10.1007/978-3-031-48125-3},
}