{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T23:12:40Z","timestamp":1776121960501,"version":"3.50.1"},"reference-count":10,"publisher":"Association for Computing Machinery (ACM)","issue":"5","license":[{"start":{"date-parts":[[2023,8,24]],"date-time":"2023-08-24T00:00:00Z","timestamp":1692835200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["interactions"],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1145\/3613249","type":"journal-article","created":{"date-parts":[[2023,8,24]],"date-time":"2023-08-24T18:15:44Z","timestamp":1692900944000},"page":"34-38","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Advancing Explainability Through AI Literacy and Design Resources"],"prefix":"10.1145","volume":"30","author":[{"given":"Patrick Gage","family":"Kelley","sequence":"first","affiliation":[{"name":"Google"}]},{"given":"Allison","family":"Woodruff","sequence":"additional","affiliation":[{"name":"Google"}]}],"member":"320","published-online":{"date-parts":[[2023,8,24]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"Terms such as explainability explainable artificial intelligence (XAI) transparency and interpretability are often used interchangeably or even inconsistently. For purposes of this paper our definition of explainability is fairly close to many common definitions of transparency involving notions such as comprehension impact process and accountability. We orient to interpretability as an important property that supports explainability; for example tools that provide post hoc explanation of specific outputs from black box models counterfactual analyses to identify changes that would affect a decision or the use of models such as linear regression and decision trees that facilitate easily tracing outcomes back to inputs."},{"key":"e_1_2_1_2_1","unstructured":"We use the term AI for simplicity but most of our comments also apply to automated decision-making systems and complex algorithmic systems as well as to specific types of AI such as machine learning."},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0088-2"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","unstructured":"At the same time scholars have initiated a healthy dialogue around the limitations of transparency and explainability e.g. Edwards and Veale (https:\/\/scholarship.law.duke.edu\/dltr\/vol16\/iss1\/2\/) and Ananny and Crawford ). While we are broadly aligned with these critiques here we focus on methods of creating thoughtful well-designed explanatory experiences so that we may get as much out of explainability as we can. 10.1177\/1461444816676645","DOI":"10.1177\/1461444816676645"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3461778.3462131)"},{"key":"e_1_2_1_6_1","first-page":"4","volume":"44","author":"Kelley P.G.","year":"2021","unstructured":"Kelley, P.G., Yang, Y., Heldreth, C., Moessner, C., Sedley, A., and Woodruff, A. \"Mixture of amazement at the potential of this technology and concern about possible pitfalls\": Public sentiment towards AI in 15 countries. IEEE Data Engineering Bulletin 44, 4 (2021), 28--46.","journal-title":"IEEE Data Engineering Bulletin"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019795"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3328489"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2009.00246"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3545947.3576224"}],"container-title":["Interactions"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3613249","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3613249","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:18Z","timestamp":1750178778000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3613249"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,24]]},"references-count":10,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2023,9]]}},"alternative-id":["10.1145\/3613249"],"URL":"https:\/\/doi.org\/10.1145\/3613249","relation":{},"ISSN":["1072-5520","1558-3449"],"issn-type":[{"value":"1072-5520","type":"print"},{"value":"1558-3449","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,24]]},"assertion":[{"value":"2023-08-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}