Criteria for Assessing AI-Based Sentencing Algorithms: A Reply to Ryberg
Author:
Funder
H2020 European Research Council
Uehiro Foundation on Ethics and Education
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13347-024-00722-2.pdf
Reference3 articles.
1. Barry, C., & Tomlin, P. (2019). Moral uncertainty and the criminal law. In L. Alexander & K. K. Ferzan (Eds.), The Palgrave Handbook of Applied Ethics and the Criminal Law (pp. 445–67). Springer International Publishing. https://doi.org/10.1007/978-3-030-22811-8_19
2. MacAskill, William, Bykvist, Krister, & Ord, Toby. (2020). Why we should take moral uncertainty seriously. In W. MacAskill, K. Bykvist, & T. Ord (Eds.), Moral uncertainty (1st ed., pp. 11–38). Oxford University PressOxford. https://doi.org/10.1093/oso/9780198722274.003.0002
3. Ryberg, J. (2024). Criminal justice and artificial intelligence: How should we assess the performance of sentencing algorithms? Philosophy & Technology, 37(1), 9. https://doi.org/10.1007/s13347-024-00694-3
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