{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:23:01Z","timestamp":1750220581821,"version":"3.41.0"},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"6","license":[{"start":{"date-parts":[[2019,12,31]],"date-time":"2019-12-31T00:00:00Z","timestamp":1577750400000},"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":["Queue"],"published-print":{"date-parts":[[2019,12,31]]},"abstract":"<jats:p>The two papers I\u2019ve chosen for this issue of acmqueue both challenge the way we think about and use data, though in very different ways. In \"Stop Explaining Black-box Machine-learning Models for High-stakes Decisions and Use Interpretable Models Instead,\" Cynthia Rudin makes the case for models that can be inspected and interpreted by human experts. The second paper, \"Local-first Software: You Own Your Data, in Spite of the Cloud,\" describes how to retain sovereignty over your data.<\/jats:p>","DOI":"10.1145\/3380774.3384393","type":"journal-article","created":{"date-parts":[[2020,2,19]],"date-time":"2020-02-19T04:51:08Z","timestamp":1582087868000},"page":"26-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["The Way We Think About Data"],"prefix":"10.1145","volume":"17","author":[{"given":"Adrian","family":"Colyer","sequence":"first","affiliation":[{"name":"Accel"}]}],"member":"320","published-online":{"date-parts":[[2020,2,18]]},"container-title":["Queue"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3380774.3384393","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3380774.3384393","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:31:33Z","timestamp":1750195893000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3380774.3384393"}},"subtitle":["Human inspection of black-box ML models; reclaiming ownership of data"],"short-title":[],"issued":{"date-parts":[[2019,12,31]]},"references-count":0,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2019,12,31]]}},"alternative-id":["10.1145\/3380774.3384393"],"URL":"https:\/\/doi.org\/10.1145\/3380774.3384393","relation":{},"ISSN":["1542-7730","1542-7749"],"issn-type":[{"type":"print","value":"1542-7730"},{"type":"electronic","value":"1542-7749"}],"subject":[],"published":{"date-parts":[[2019,12,31]]},"assertion":[{"value":"2020-02-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}