{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T01:23:55Z","timestamp":1768353835787,"version":"3.49.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685625","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,12,5]],"date-time":"2024-12-05T00:00:00Z","timestamp":1733356800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,5]]},"abstract":"<jats:p>In this paper we build on a formal model of reasoning with dimensions to analyze data from the COMPAS program\u2014a widely used and studied tool for predicting recidivism. We extend the underlying theory of the model by introducing a notion of consistency and apply it to assess whether COMPAS follows this principle in its risk assessments and supervision level recommendations. Our analysis yields three key findings. First, the program\u2019s risk score assignments appear highly inconsistent, but we argue this is due to important input features missing from the dataset. Second, the program\u2019s recommended supervision levels do exhibit a high degree of consistency. Third, we uncover errors in the dataset related to the conversion of raw scores to decile scores. These findings cast doubts on previous studies conducted on the COMPAS dataset, and demonstrate the need for evaluation studies like ours.<\/jats:p>","DOI":"10.3233\/faia241244","type":"book-chapter","created":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T00:00:45Z","timestamp":1733443245000},"source":"Crossref","is-referenced-by-count":1,"title":["A Case-Based-Reasoning Analysis of the COMPAS Dataset"],"prefix":"10.3233","author":[{"given":"Wijnand","family":"van Woerkom","sequence":"first","affiliation":[{"name":"Department of Information and Computing Sciences, Utrecht University, The Netherlands"}]},{"given":"Davide","family":"Grossi","sequence":"additional","affiliation":[{"name":"Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, The Netherlands"},{"name":"Amsterdam Center for Law and Economics, University of Amsterdam, The Netherlands"},{"name":"Institute for Logic, Language and Computation, University of Amsterdam, The Netherlands"}]},{"given":"Henry","family":"Prakken","sequence":"additional","affiliation":[{"name":"Department of Information and Computing Sciences, Utrecht University, The Netherlands"}]},{"given":"Bart","family":"Verheij","sequence":"additional","affiliation":[{"name":"Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, The Netherlands"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Legal Knowledge and Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA241244","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T00:00:46Z","timestamp":1733443246000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA241244"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,5]]},"ISBN":["9781643685625"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia241244","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,5]]}}}