Artificial Intelligence and Sentencing from a Human Rights Perspective

Author:

Kaspar Johannes,Harrendorf StefanORCID,Butz Felix,Höffler Katrin,Sommerer Lucia,Christoph Stephan

Publisher

Springer International Publishing

Reference85 articles.

1. Aebi, M.F., Caneppele, S., Harrendorf, S., Hashimoto, Y.Z., Jehle, J.-M., Khan, T.S., Kühn, O., Lewis, C., Molnar, L., Smit, P., Þórisdóttir, R. and the ESB Network of National Correspondents (2021). European sourcebook of crime and criminal justice statistics—2021 (6 ed.). Göttingen University Press: Göttingen.

2. Alfaia Sampaio, E., Seixas, J.J. & Gomes, P.J. (2019). Artificial Intelligence and the judicial ruling. Themis Competition 2019, Semi-Final D, Team Portugal I. https://www.ejtn.eu/PageFiles/17916/TEAM%20PORTUGAL%20I%20TH%202019%20D.pdf. Accessed 3 February 2022.

3. Alufaisan, Y., Marusich, L. R., Bakdash, J. Z., Zhou, Y. & Kantarcioglu, M. (2021). Does explainable artificial intelligence improve human decision-making? In: Proceedings of the AAAI Conference on Artificial Intelligence, 35(8), 6618–6626. https://www.ojs.aaai.org/index.php/AAAI/article/view/16819. Accessed 20 April 2022.

4. Angwin, J., Larson, J., Mattu, S. & Kirchner, L. (2016). Machine bias. There’s software used across the country to predict future criminals. And it’s biased against blacks. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing. Accessed 22 November 2021.

5. Bagaric, M., Hunter, D. & Stobbs, N. (2020). Erasing the bias against using artificial intelligence to predict future criminality. Algorithms are color blind and never tire. University of Cincinnati Law Review, 88, 1037–1082.

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