{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,18]],"date-time":"2026-05-18T10:38:57Z","timestamp":1779100737518,"version":"3.51.4"},"reference-count":54,"publisher":"Informa UK Limited","issue":"1","license":[{"start":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T00:00:00Z","timestamp":1732579200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Applied Artificial Intelligence"],"published-print":{"date-parts":[[2024,12,31]]},"DOI":"10.1080\/08839514.2024.2430867","type":"journal-article","created":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T08:15:17Z","timestamp":1732608917000},"update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":4,"title":["Real-World Efficacy of Explainable Artificial Intelligence using the SAGE Framework and Scenario-Based Design"],"prefix":"10.1080","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9039-8654","authenticated-orcid":false,"given":"Eleanor","family":"Mill","sequence":"first","affiliation":[{"name":"Department of Business Analytics and Operations, Surrey Business School, Guildford, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wolfgang","family":"Garn","sequence":"additional","affiliation":[{"name":"Department of Business Analytics and Operations, Surrey Business School, Guildford, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chris","family":"Turner","sequence":"additional","affiliation":[{"name":"Department of Business Analytics and Operations, Surrey Business School, Guildford, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2024,11,26]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870052"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3490354.3494378"},{"key":"e_1_3_3_4_1","first-page":"8","volume-title":"IJCAI-17 workshop on explainable AI (1)","volume":"8","author":"Biran, Or, and Courtenay Cotton","year":"2017","unstructured":"Biran, Or, and Courtenay Cotton. 2017. Explanation and justification in machine learning: A survey. IJCAI-17 workshop on explainable AI (1). 8: 8\u201313."},{"key":"e_1_3_3_5_1","volume-title":"Industry 5.0 \u2013towards a sustainable, human-centric and resilient European industry","author":"Breque M.","year":"2021","unstructured":"Breque, M., L. De Nul, and A. Petridis. 2021. Industry 5.0 \u2013towards a sustainable, human-centric and resilient European industry. Belgium: Publications Office of the European Union."},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-044481862-1.50083-2"},{"key":"e_1_3_3_7_1","volume-title":"Making use: Scenario-based design of human-computer interactions","author":"Carroll J. M.","year":"2003","unstructured":"Carroll, J. M. 2003. Making use: Scenario-based design of human-computer interactions. Massachusetts: MIT press."},{"key":"e_1_3_3_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2023.06.036"},{"key":"e_1_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-57321-8_18"},{"key":"e_1_3_3_10_1","first-page":"1","article-title":"Towards a rigorous science of interpretable machine learning","author":"Doshi-Velez F.","year":"2017","unstructured":"Doshi-Velez, F., and B. Kim. 2017. Towards a rigorous science of interpretable machine learning. arXiv preprint arXiv:1702.08608 1\u201313.","journal-title":"arXiv preprint arXiv:1702.08608"},{"key":"e_1_3_3_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-28730-6_4"},{"key":"e_1_3_3_12_1","doi-asserted-by":"publisher","DOI":"10.4324\/9781003336099"},{"key":"e_1_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2018.00018"},{"key":"e_1_3_3_14_1","first-page":"1","article-title":"Natural language generation enhances human decision-making with uncertain information","author":"Gkatzia D.","year":"2016","unstructured":"Gkatzia, D., O. Lemon, and V. Rieser. 2016. Natural language generation enhances human decision-making with uncertain information arXiv preprint arXiv:1606.03254 1\u20136","journal-title":"arXiv preprint arXiv:1606.03254"},{"key":"e_1_3_3_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2020.103428"},{"key":"e_1_3_3_16_1","first-page":"12","article-title":"The AI black box explanation problem","volume":"116","author":"Guidotti R.","year":"2019","unstructured":"Guidotti, R., A. Monreale, and D. Pedreschi. 2019. The AI black box explanation problem. ERCIM News 116:12\u201313.","journal-title":"ERCIM News"},{"key":"e_1_3_3_17_1","first-page":"1","article-title":"Local rule-based explanations of black box decision systems","author":"Guidotti R.","year":"2018","unstructured":"Guidotti, R., A. Monreale, S. Ruggieri, D. Pedreschi, F. Turini, and F. Giannotti. 2018. Local rule-based explanations of black box decision systems arXiv preprint arXiv:1805.10820 1\u201310.","journal-title":"arXiv preprint arXiv:1805.10820"},{"key":"e_1_3_3_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3236009"},{"key":"e_1_3_3_19_1","first-page":"1","article-title":"Towards faithfully interpretable NLP systems: How should we define and evaluate faithfulness?","author":"Jacovi A.","year":"2020","unstructured":"Jacovi, A., and Y. Goldberg. 2020. Towards faithfully interpretable NLP systems: How should we define and evaluate faithfulness? arXiv preprint arXiv:2004.03685 1\u20138","journal-title":"arXiv preprint arXiv:2004.03685"},{"key":"e_1_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376219"},{"key":"e_1_3_3_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhcs.2023.103160"},{"key":"e_1_3_3_22_1","unstructured":"Lee A. 2023. A day in the life of a fraud analyst. https:\/\/www.youtube.com\/watch?v=X4mF-7P7GCg."},{"key":"e_1_3_3_23_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2017.1307116"},{"key":"e_1_3_3_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3236386.3241340"},{"key":"e_1_3_3_25_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0138-9"},{"key":"e_1_3_3_26_1","first-page":"30","volume-title":"Thirty-First Annual Conference on Neural Information Processing Systems","author":"Lundberg S. M.","year":"2017","unstructured":"Lundberg, S. M., and S.-I. Lee. 2017. A unified approach to interpreting model predictions Thirty-First Annual Conference on Neural Information Processing Systems Long Beach, California Guyon, Isabelle, von Luxburg, Ulrike, Bengio, Samy, Wallach, Hanna M., Fergus, Rob, Vishwanathan, S. V. N., Garnett, Roman, 30 San Diego, California: NeurIPS."},{"key":"e_1_3_3_27_1","doi-asserted-by":"publisher","DOI":"10.1080\/08839514.2024.2318670"},{"key":"e_1_3_3_28_1","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2023.01405121"},{"key":"e_1_3_3_29_1","first-page":"1","article-title":"Explainable AI: Beware of inmates running the asylum or: How I learnt to stop worrying and love the social and behavioural sciences","author":"Miller T.","year":"2017","unstructured":"Miller, T., P. Howe, and L. Sonenberg. 2017. Explainable AI: Beware of inmates running the asylum or: How I learnt to stop worrying and love the social and behavioural sciences arXiv preprint arXiv:1712.00547 1\u20137.","journal-title":"arXiv preprint arXiv:1712.00547"},{"key":"e_1_3_3_30_1","first-page":"1","article-title":"Lionforests: Local interpretation of random forests","author":"Mollas I.","year":"2019","unstructured":"Mollas, I., N. Bassiliades, I. Vlahavas, and G. Tsoumakas. 2019. Lionforests: Local interpretation of random forests arXiv preprint arXiv:1911.08780 1\u20139.","journal-title":"arXiv preprint arXiv:1911.08780"},{"key":"e_1_3_3_31_1","volume-title":"Interpretable machine learning","author":"Molnar C.","year":"2022","unstructured":"Molnar, C. 2022. Interpretable machine learning, 2nd ed. M\u00fcnchen, Germany: Digital Research Academy. https:\/\/christophm.github.io\/interpretable-ml-book.","edition":"2"},{"key":"e_1_3_3_32_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1900654116"},{"key":"e_1_3_3_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372855"},{"key":"e_1_3_3_34_1","volume-title":"The Thirty-Second Annual Conference on Neural Information Processing Systems (NIPS)","author":"Plumb G.","year":"2018","unstructured":"Plumb, G., D. Molitor, and A. S. Talwalkar. 2018. Model agnostic supervised local explanations The Thirty-Second Annual Conference on Neural Information Processing Systems (NIPS) Montr\u00e9al, Canada Bengio, Samy, Wallach, Hanna M., Larochelle, Hugo, Grauman, Kristen, Cesa-Bianchi, Nicolo, Garnett, Roman, 31. San Diego, California: NeurIPS."},{"key":"e_1_3_3_35_1","first-page":"1822","volume-title":"Proceedings of the national conference on artificial intelligence","volume":"21","author":"Poulin B.","year":"2006","unstructured":"Poulin, B., R. Eisner, D. Szafron, P. Lu, R. Greiner, D. S. Wishart, A. Fyshe, B. Pearcy, C. MacDonell, and J. Anvik. 2006. Visual explanation of evidence with additive classifiers. In Proceedings of the national conference on artificial intelligence, vol. 21, 1822, Menlo Park, CA; cambridge, MA; London: AAAI Press; MIT Press."},{"key":"e_1_3_3_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"e_1_3_3_37_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11491"},{"key":"e_1_3_3_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3116481"},{"key":"e_1_3_3_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-51924-7_6"},{"key":"e_1_3_3_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-15037-1_11"},{"key":"e_1_3_3_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-33607-3_49"},{"key":"e_1_3_3_42_1","first-page":"3145","volume-title":"ICML\u201917: Proceedings of the 34th International Conference on Machine Learning","volume":"70","author":"Shrikumar A.","year":"2017","unstructured":"Shrikumar, A., P. Greenside, and A. Kundaje. 2017. Learning important features through propagating activation differences. In ICML\u201917: Proceedings of the 34th International Conference on Machine Learning Sydney, New South Wales 70 Precup, Doina, Teh, Yee Why, 3145\u201353, Brookline, MA: Microtome Publishing."},{"key":"e_1_3_3_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372870"},{"key":"e_1_3_3_44_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/836"},{"key":"e_1_3_3_45_1","first-page":"1","article-title":"An efficient explanation of individual classifications using game theory","volume":"11","author":"Strumbelj E.","year":"2010","unstructured":"Strumbelj, E., and I. Kononenko. 2010. An efficient explanation of individual classifications using game theory. Journal of Machine Learning Research 11:1\u201318.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_3_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-013-0679-x"},{"key":"e_1_3_3_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3490099.3511119"},{"key":"e_1_3_3_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2016.7738872"},{"key":"e_1_3_3_49_1","first-page":"1","article-title":"Feature importance measure for non-linear learning algorithms","author":"Vidovic M. M.-C.","year":"2016","unstructured":"Vidovic, M. M.-C., N. G\u00f6rnitz, K.-R. M\u00fcller, and M. Kloft. 2016. Feature importance measure for non-linear learning algorithms. arXiv preprint 1\u20135.","journal-title":"arXiv preprint"},{"key":"e_1_3_3_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/1852102.1852106"},{"key":"e_1_3_3_51_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1002"},{"key":"e_1_3_3_52_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11191-015-9784-4"},{"key":"e_1_3_3_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3301275.3302317"},{"key":"e_1_3_3_54_1","unstructured":"Zafar M. R. and N. Mefraz Khan. 2019. DLIME: A deterministic local interpretable model-agnostic explanations approach for computer-aided diagnosis systems."},{"key":"e_1_3_3_55_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-04987-3_7"}],"container-title":["Applied Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/08839514.2024.2430867","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T16:18:15Z","timestamp":1734365895000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/08839514.2024.2430867"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,26]]},"references-count":54,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,12,31]]}},"alternative-id":["10.1080\/08839514.2024.2430867"],"URL":"https:\/\/doi.org\/10.1080\/08839514.2024.2430867","relation":{},"ISSN":["0883-9514","1087-6545"],"issn-type":[{"value":"0883-9514","type":"print"},{"value":"1087-6545","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,26]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=uaai20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=uaai20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2024-07-08","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-10-30","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-11-03","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-11-26","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2430867"}}