{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T03:44:33Z","timestamp":1777434273780,"version":"3.51.4"},"reference-count":96,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T00:00:00Z","timestamp":1710979200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T00:00:00Z","timestamp":1710979200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Argument &amp; Computation"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:p>Advancements and deployments of AI-based systems, especially Deep Learning-driven generative language models, have accomplished impressive results over the past few years. Nevertheless, these remarkable achievements are intertwined with a related fear that such technologies might lead to a general relinquishing of our lives\u2019s control to AIs. This concern, which also motivates the increasing interest in the eXplainable Artificial Intelligence (XAI) research field, is mostly caused by the opacity of the output of deep learning systems and the way that it is generated, which is largely obscure to laypeople. A dialectical interaction with such systems may enhance the users\u2019 understanding and build a more robust trust towards AI. Commonly employed as specific formalisms for modelling intra-agent communications, dialogue games prove to be useful tools to rely upon when dealing with user\u2019s explanation needs. The literature already offers some dialectical protocols that expressly handle explanations and their delivery. This paper fully formalises the novel Explanation\u2013Question\u2013Response (EQR) dialogue and its properties, whose main purpose is to provide satisfactory information (i.e., justified according to argumentative semantics) whilst ensuring a simplified protocol, in comparison with other existing approaches, for humans and artificial agents.<\/jats:p>","DOI":"10.3233\/aac-230015","type":"journal-article","created":{"date-parts":[[2024,3,22]],"date-time":"2024-03-22T11:55:24Z","timestamp":1711108524000},"page":"133-150","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Explanation\u2013Question\u2013Response dialogue: An argumentative tool for explainable AI"],"prefix":"10.1177","volume":"16","author":[{"given":"Federico","family":"Castagna","sequence":"first","affiliation":[{"name":"Brunel University","place":["United Kingdom"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"McBurney","sequence":"additional","affiliation":[{"name":"King\u2019s College London","place":["United Kingdom"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simon","family":"Parsons","sequence":"additional","affiliation":[{"name":"University of Lincoln","place":["United Kingdom"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2024,3,21]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1002\/ejsp.2420220206"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11229-005-3488-2"},{"key":"e_1_3_3_4_2","volume-title":"How to do Things with Words","author":"Austin J.L.","year":"1962","unstructured":"Austin J.L., How to do Things with Words, Oxford University Press, 1962."},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/EUROCON.2019.8861812"},{"key":"e_1_3_3_6_2","first-page":"193","volume-title":"Human\u2013Computer Interaction","author":"Bellotti V.","year":"2001","unstructured":"Bellotti V., Edwards K., Intelligibility and accountability: Human considerations in context-aware systems, in: Human\u2013Computer Interaction, Vol.\u00a016, Taylor & Francis, 2001, pp.\u00a0193\u2013212."},{"key":"e_1_3_3_7_2","first-page":"619","volume-title":"Artificial Intelligence","author":"Bench-Capon T.J.","year":"2007","unstructured":"Bench-Capon T.J., Dunne P.E., Argumentation in artificial intelligence, in: Artificial Intelligence, Vol.\u00a0171, Elsevier, 2007, pp.\u00a0619\u2013641."},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262026437.001.0001"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.3233\/AAC-160001"},{"key":"e_1_3_3_10_2","unstructured":"Bills S. 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