{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T05:42:42Z","timestamp":1744263762889,"version":"3.27.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685489","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T00:00:00Z","timestamp":1729036800000},"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":[[2024,10,16]]},"abstract":"<jats:p>We present and evaluate empirically an XAI protocol for ruling interactions between a tree-based ML model (the AI system) and its user U, in the context of a prediction task. The pieces of knowledge held by U concerning the prediction task are supposed to be representable by a set of classification rules that is reliable and consistent, but (typically) incomplete. The proposed protocol aims to help U decide what to do with each prediction made by AI (accept it, reject it). It also aims to improve the quality of further predictions made by AI thanks to the expertise of U, and, reciprocally, to complete the pieces of knowledge held by U by leveraging the predictions made by AI. Experiments show that the approach can prove valuable in practice.<\/jats:p>","DOI":"10.3233\/faia240599","type":"book-chapter","created":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T12:54:39Z","timestamp":1729169679000},"source":"Crossref","is-referenced-by-count":1,"title":["Designing an XAI Interface for Tree-Based ML Models"],"prefix":"10.3233","author":[{"given":"Gilles","family":"Audemard","sequence":"first","affiliation":[{"name":"Univ. Artois, CNRS, CRIL, Lens, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sylvie","family":"Coste-Marquis","sequence":"additional","affiliation":[{"name":"Univ. Artois, CNRS, CRIL, Lens, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pierre","family":"Marquis","sequence":"additional","affiliation":[{"name":"Univ. Artois, CNRS, CRIL, Lens, France"},{"name":"Institut Universitaire de France, France\u00a0name@cril.fr"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehdi","family":"Sabiri","sequence":"additional","affiliation":[{"name":"Univ. Artois, CNRS, CRIL, Lens, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicolas","family":"Szczepanski","sequence":"additional","affiliation":[{"name":"Univ. Artois, CNRS, CRIL, Lens, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2024"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA240599","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T12:54:39Z","timestamp":1729169679000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA240599"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,16]]},"ISBN":["9781643685489"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia240599","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,16]]}}}