{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T20:36:44Z","timestamp":1776112604235,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":55,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,8,8]],"date-time":"2023-08-08T00:00:00Z","timestamp":1691452800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"name":"P\u00f4le montr\u00e9alais d\u00f0enseignement sup\u00e9rieur en intelligence artificielle"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,8,8]]},"DOI":"10.1145\/3600211.3604702","type":"proceedings-article","created":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T18:41:37Z","timestamp":1693334497000},"page":"584-595","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":19,"title":["What does it mean to be a responsible AI practitioner: An ontology of roles and skills"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5281-2428","authenticated-orcid":false,"given":"Shalaleh","family":"Rismani","sequence":"first","affiliation":[{"name":"McGill University, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9387-6284","authenticated-orcid":false,"given":"AJung","family":"Moon","sequence":"additional","affiliation":[{"name":"McGill University, Canada"}]}],"member":"320","published-online":{"date-parts":[[2023,8,29]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"2021. A European approach to artificial intelligence - shaping Europe\u2019s digital future. (2021). https:\/\/digital-strategy.ec.europa.eu\/en\/policies\/european-approach-artificial-intelligence"},{"key":"e_1_3_2_2_2_1","unstructured":"2021. Competence and competency frameworks - factsheets - CIPD. https:\/\/www.cipd.co.uk\/knowledge\/fundamentals\/people\/performance\/competency-factsheet"},{"key":"e_1_3_2_2_3_1","volume-title":"Embracing the rapid pace of AI. MIT Technology Review (May","year":"2021","unstructured":"2021. Embracing the rapid pace of AI. MIT Technology Review (May 2021)."},{"key":"e_1_3_2_2_4_1","unstructured":"2022. AI Ethics Toolkit. (2022). https:\/\/www.ibm.com\/artificial-intelligence\/ethics"},{"key":"e_1_3_2_2_5_1","unstructured":"2022. Algorithmic Impact Assessment. https:\/\/www.canada.ca\/en\/government\/system\/digital-government\/digital-government-innovations\/responsible-use-ai\/algorithmic-impact-assessment.html"},{"key":"e_1_3_2_2_6_1","unstructured":"2022. IEEE Ethics in Action in Autonomous and Intelligent Systems."},{"key":"e_1_3_2_2_7_1","unstructured":"2022. The Regulation of Artificial Intelligence in Canada and Abroad: Comparing the Proposed AIDA and EU AI Act. https:\/\/www.fasken.com\/en\/knowledge\/2022\/10\/18-the-regulation-of-artificial-intelligence-in-canada-and-abroad. Accessed: 2023-2-15."},{"key":"e_1_3_2_2_8_1","unstructured":"2022. Responsible AI resources. (2022). https:\/\/www.microsoft.com\/en-us\/ai\/responsible-ai-resources"},{"key":"e_1_3_2_2_9_1","unstructured":"Employment &\u00a0Training Administration. 2022. O*NET database Content Model. https:\/\/www.onetcenter.org\/content.html"},{"key":"e_1_3_2_2_10_1","unstructured":"Ethical\u00a0AI Advisory. 2023. Ethical AI Advisory. https:\/\/www.ethicalai.ai\/. Accessed: 2023-3-15."},{"key":"e_1_3_2_2_11_1","unstructured":"David Anderson Joy Bonaguro Miriam McKinney Andrew Nicklin and Jane Wiseman. 2020. Ethics and algorithms toolkit. https:\/\/ethicstoolkit.ai\/"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514094.3534195"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s43681-020-00002-7"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1191\/1478088706qp063oa"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1953163.1953312"},{"key":"e_1_3_2_2_18_1","unstructured":"ORCAA Consulting. 2023. ORCAA. https:\/\/orcaarisk.com\/. Accessed: 2023-3-15."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533213"},{"key":"e_1_3_2_2_20_1","first-page":"186","article-title":"Multidisciplinary, Interdisciplinary, and TransdisciplinaryEducational Models and Nursing","volume":"24","author":"Dyer A","year":"2003","unstructured":"Jean\u00a0A Dyer. 2003. Multidisciplinary, Interdisciplinary, and TransdisciplinaryEducational Models and Nursing Education. Nurs. Educ. Perspect. 24, 4 (2003), 186.","journal-title":"Education. Nurs. Educ. Perspect."},{"key":"e_1_3_2_2_21_1","unstructured":"European Commission. 2022. The ESCO Classification. https:\/\/esco.ec.europa.eu\/en\/classification"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1080\/10429247.2009.11431792"},{"key":"e_1_3_2_2_23_1","volume-title":"Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI. (Jan","author":"Fjeld Jessica","year":"2020","unstructured":"Jessica Fjeld, Nele Achten, Hannah Hilligoss, Adam Nagy, and Madhulika Srikumar. 2020. Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI. (Jan. 2020)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3299758.3299764"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s43681-020-00020-5"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3375627.3375868"},{"key":"e_1_3_2_2_27_1","unstructured":"Sharon Goldman. 2022. Why Meta and Twitter\u2019s AI and ML layoffs matter. https:\/\/venturebeat.com\/ai\/why-meta-and-twitters-ai-and-ml-layoffs-matter-the-ai-beat\/. Accessed: 2023-3-12."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TALE48869.2020.9368375"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1365-2923.2001.00919.x"},{"key":"e_1_3_2_2_30_1","volume-title":"Responsible AI has a burnout problem. MIT Technology Review (Oct","author":"Heikkil\u00e4 Melissa","year":"2022","unstructured":"Melissa Heikkil\u00e4. 2022. Responsible AI has a burnout problem. MIT Technology Review (Oct. 2022)."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0088-2"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1080\/03043797.2018.1442417"},{"key":"e_1_3_2_2_33_1","volume-title":"Team. Wired (Nov.","author":"Knight Will","year":"2022","unstructured":"Will Knight. 2022. Elon Musk Has Fired Twitter\u2019s \u2018Ethical AI\u2019 Team. Wired (Nov. 2022)."},{"key":"e_1_3_2_2_34_1","unstructured":"AI\u00a0Ethics Lab. 2019. AI Ethics Lab. https:\/\/aiethicslab.com\/. Accessed: 2023-3-15."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376445"},{"key":"e_1_3_2_2_36_1","volume-title":"Putting AI Ethics into Practice: The Hourglass Model of Organizational AI Governance. (June","author":"M\u00e4ntym\u00e4ki Matti","year":"2022","unstructured":"Matti M\u00e4ntym\u00e4ki, Matti Minkkinen, Teemu Birkstedt, and Mika Viljanen. 2022. Putting AI Ethics into Practice: The Hourglass Model of Organizational AI Governance. (June 2022). arxiv:2206.00335\u00a0[cs.AI]"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/PICMET.2016.7806752"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11023-021-09577-4"},{"key":"e_1_3_2_2_39_1","unstructured":"AJung Moon Shalaleh Rismani Jason Millar Terralynn Forsyth Jordan Eshpeter Muhammad Jaffar and Anh Phan. 2019. Foresight into AI Ethics."},{"key":"e_1_3_2_2_40_1","volume-title":"Ethics Owners: A new model of organizational responsibility in data-driven technology companies. Technical Report. 1\u201371 pages.","author":"Moss Emanuel","year":"2020","unstructured":"Emanuel Moss and Jacob Metcalf. 2020. Ethics Owners: A new model of organizational responsibility in data-driven technology companies. Technical Report. 1\u201371 pages."},{"key":"e_1_3_2_2_41_1","first-page":"1","article-title":"Leverage zones in Responsible AI: towards a systems thinking conceptualization","volume":"10","author":"Nabavi Ehsan","year":"2023","unstructured":"Ehsan Nabavi and Chris Browne. 2023. Leverage zones in Responsible AI: towards a systems thinking conceptualization. Humanities and Social Sciences Communications 10, 1 (March 2023), 1\u20139.","journal-title":"Humanities and Social Sciences Communications"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TTS.2022.3233776"},{"key":"e_1_3_2_2_44_1","volume-title":"Readying Medical Students for Medical AI: The Need to Embed AI Ethics Education. (Sept","author":"Quinn P","year":"2021","unstructured":"Thomas\u00a0P Quinn and Simon Coghlan. 2021. Readying Medical Students for Medical AI: The Need to Embed AI Ethics Education. (Sept. 2021). arxiv:2109.02866\u00a0[cs.AI]"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445914"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372873"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449081"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581407"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"crossref","unstructured":"Seema Sanghi. 2016. The handbook of competency mapping (3e ed.). SAGE.","DOI":"10.4324\/9781003498360-2"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/MTS.2021.3056286"},{"key":"e_1_3_2_2_51_1","volume-title":"Emilio Garcia, and Gurleen Virk.","author":"Shelby Renee","year":"2022","unstructured":"Renee Shelby, Shalaleh Rismani, Kathryn Henne, Ajung Moon, Negar Rostamzadeh, Paul Nicholas, N\u2019mah Yilla, Jess Gallegos, Andrew Smart, Emilio Garcia, and Gurleen Virk. 2022. Identifying Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction. (Oct. 2022). arxiv:2210.05791\u00a0[cs.HC]"},{"key":"e_1_3_2_2_52_1","volume-title":"Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation. In 2022 ACM Conference on Fairness, Accountability, and Transparency","author":"Sloane Mona","year":"2022","unstructured":"Mona Sloane and Janina Zakrzewski. 2022. German AI Start-Ups and \u201cAI Ethics\u201d: Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT \u201922). Association for Computing Machinery, New York, NY, USA, 935\u2013947."},{"key":"e_1_3_2_2_53_1","unstructured":"L.M. Spencer and S.M. Spencer. 1993. Competence at Work - Models for Superior Performance. John Wiley & Sons Inc. New York."},{"key":"e_1_3_2_2_54_1","volume-title":"A label to complete the proposed Act on Artificial Intelligence. Computer Law & Security Review 44 (April","author":"Stuurman Kees","year":"2022","unstructured":"Kees Stuurman and Eric Lachaud. 2022. Regulating AI. A label to complete the proposed Act on Artificial Intelligence. Computer Law & Security Review 44 (April 2022), 105657."},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"crossref","unstructured":"Qiaosi Wang Michael\u00a0Adam Madaio Shivani Kapania Shaun Kane Michael Terry and Lauren Wilcox. 2023. Designing responsible AI: Adaptations of UX practice to meet responsible AI challenges. (2023).","DOI":"10.1145\/3544548.3581278"},{"key":"e_1_3_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533088"},{"key":"e_1_3_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.1177\/20539517231177620"},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3408877.3439690"}],"event":{"name":"AIES '23: AAAI\/ACM Conference on AI, Ethics, and Society","location":"Montr\u00e9al QC Canada","acronym":"AIES '23","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence"]},"container-title":["Proceedings of the 2023 AAAI\/ACM Conference on AI, Ethics, and Society"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3600211.3604702","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3600211.3604702","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:39Z","timestamp":1750178259000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3600211.3604702"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,8]]},"references-count":55,"alternative-id":["10.1145\/3600211.3604702","10.1145\/3600211"],"URL":"https:\/\/doi.org\/10.1145\/3600211.3604702","relation":{},"subject":[],"published":{"date-parts":[[2023,8,8]]},"assertion":[{"value":"2023-08-29","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}