{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T08:24:45Z","timestamp":1760171085573},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"abstract":"<jats:p>We consider decision situations in which a set of points of view (voters, criteria) are to sort a set of candidates to ordered categories (Good\/Bad). Candidates are judged\u00a0 good, when approved by a sufficient set of points of view; this corresponds to NonCompensatory Sorting. To be accountable, such approval sorting should provide guarantees about the decision process and decisions concerning specific candidates. We formalize accountability using a feasibility problem expressed as a boolean satisfiability formulation. We illustrate different forms of accountability when a committee decides with approval sorting and study the information that should be disclosed by the committee.<\/jats:p>","DOI":"10.24963\/ijcai.2018\/10","type":"proceedings-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T01:49:10Z","timestamp":1530755350000},"page":"70-76","source":"Crossref","is-referenced-by-count":5,"title":["Accountable Approval Sorting"],"prefix":"10.24963","author":[{"given":"Khaled","family":"Belahcene","sequence":"first","affiliation":[{"name":"Laboratoire Genie Industriel, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay, Gif-sur-Yvette, France"}]},{"given":"Yann","family":"Chevaleyre","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Paris-Dauphine, PSL Research University, CNRS, UMR [7243], LAMSADE, France"}]},{"given":"Christophe","family":"Labreuche","sequence":"additional","affiliation":[{"name":"Thales Reserach & Technology, Palaiseau, France"}]},{"given":"Nicolas","family":"Maudet","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9, CNRS, Laboratoire d'Informatique de Paris 6, LIP6, France"}]},{"given":"Vincent","family":"Mousseau","sequence":"additional","affiliation":[{"name":"Laboratoire Genie Industriel, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay, Gif-sur-Yvette, France"}]},{"given":"Wassila","family":"Ouerdane","sequence":"additional","affiliation":[{"name":"Laboratoire Genie Industriel, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay, Gif-sur-Yvette, France"}]}],"member":"10584","event":{"number":"27","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2018","name":"Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}","start":{"date-parts":[[2018,7,13]]},"theme":"Artificial Intelligence","location":"Stockholm, Sweden","end":{"date-parts":[[2018,7,19]]}},"container-title":["Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T01:49:17Z","timestamp":1530755357000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2018\/10"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2018\/10","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}