{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:39:54Z","timestamp":1767339594729,"version":"3.41.0"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031938634","type":"print"},{"value":"9783031938641","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-93864-1_8","type":"book-chapter","created":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T09:14:49Z","timestamp":1748942089000},"page":"102-117","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Designing Against Bias: AI, Crime Racialization, and the Ethics of Image"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8179-6616","authenticated-orcid":false,"given":"Veronica","family":"Silva","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8146-2941","authenticated-orcid":false,"given":"Hande","family":"Ayanoglu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8214-8185","authenticated-orcid":false,"given":"Rodrigo","family":"Hern\u00e1ndez Ram\u00edrez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,6,4]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2020.513474","volume":"11","author":"JM Bishop","year":"2021","unstructured":"Bishop, J.M.: Artificial intelligence is stupid and causal reasoning will not fix it. Front. Psychol. 11, 513474 (2021). https:\/\/doi.org\/10.3389\/fpsyg.2020.513474","journal-title":"Front. Psychol."},{"issue":"4","key":"8_CR2","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/MC.2004.1297301","volume":"37","author":"H Chen","year":"2004","unstructured":"Chen, H., Chung, W., Xu, J.J., Wang, G., Qin, Y., Chau, M.: Crime data mining: a general framework and some examples. Computer. 37(4), 50\u201356 (2004). https:\/\/doi.org\/10.1109\/MC.2004.1297301","journal-title":"Computer"},{"key":"8_CR3","volume-title":"The New Breed: What our History with Animals Reveals about our Future with Robots","author":"K Darling","year":"2021","unstructured":"Darling, K.: The New Breed: What our History with Animals Reveals about our Future with Robots, 1st edn. Henry Holt and Company (2021)","edition":"1"},{"key":"8_CR4","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780198883098.001.0001","volume-title":"The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities","author":"L Floridi","year":"2023","unstructured":"Floridi, L.: The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities. Oxford University Press (2023)"},{"issue":"2","key":"8_CR5","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1002\/pam.20178","volume":"25","author":"J Glaser","year":"2006","unstructured":"Glaser, J.: The efficacy and effect of racial profiling: a mathematical simulation approach. J. Policy Anal. Manage. 25(2), 395\u2013416 (2006). https:\/\/doi.org\/10.1002\/pam.20178","journal-title":"J. Policy Anal. Manage."},{"issue":"6334","key":"8_CR6","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1126\/science.aan0649","volume":"356","author":"AG Greenwald","year":"2017","unstructured":"Greenwald, A.G.: An AI stereotype catcher. Science. 356(6334), 133\u2013134 (2017). https:\/\/doi.org\/10.1126\/science.aan0649","journal-title":"Science"},{"issue":"2","key":"8_CR7","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1007\/s10676-024-09775-5","volume":"26","author":"MT Hicks","year":"2024","unstructured":"Hicks, M.T., Humphries, J., Slater, J.: ChatGPT is bullshit. Ethics Inf. Technol. 26(2), 38 (2024). https:\/\/doi.org\/10.1007\/s10676-024-09775-5","journal-title":"Ethics Inf. Technol."},{"issue":"3","key":"8_CR8","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1080\/13645579.2020.1803621","volume":"24","author":"JK H\u00f6hne","year":"2020","unstructured":"H\u00f6hne, J.K., Krebs, D.: Mismatching middle options: consequences for attitude measurement in smartphone surveys. Int. J. Soc. Res. Methodol. 24(3), 381\u2013386 (2020). https:\/\/doi.org\/10.1080\/13645579.2020.1803621","journal-title":"Int. J. Soc. Res. Methodol."},{"key":"8_CR9","unstructured":"Homelessness. GOV.UK Ethnicity Facts and Figures. (2024, November). https:\/\/www.ethnicity-facts-figures.service.gov.uk\/housing\/homelessness\/homelessness\/latest\/"},{"issue":"8","key":"8_CR10","doi-asserted-by":"publisher","first-page":"1457","DOI":"10.3390\/electronics13081457","volume":"13","author":"K Karpouzis","year":"2024","unstructured":"Karpouzis, K.: Plato\u2019s shadows in the digital cave: controlling cultural bias in generative AI. Electronics. 13(8), 1457 (2024). https:\/\/doi.org\/10.3390\/electronics13081457","journal-title":"Electronics"},{"issue":"3","key":"8_CR11","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1177\/1833358318774357","volume":"47","author":"MF Kilkenny","year":"2018","unstructured":"Kilkenny, M.F., Robinson, K.M.: Data quality: \u201cGarbage in\u2014garbage out\u201d. Health Inform. Manag. J. 47(3), 103\u2013105 (2018). https:\/\/doi.org\/10.1177\/1833358318774357","journal-title":"Health Inform. Manag. J."},{"key":"8_CR12","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1145\/3195570.3195580","volume-title":"Proceedings of the 1st International Workshop on Gender Equality in Software Engineering","author":"S Leavy","year":"2018","unstructured":"Leavy, S.: Gender bias in artificial intelligence: the need for diversity and gender theory in machine learning. In: Proceedings of the 1st International Workshop on Gender Equality in Software Engineering, pp. 14\u201316 (2018). https:\/\/doi.org\/10.1145\/3195570.3195580"},{"key":"8_CR13","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1007\/978-3-030-78818-6_5","volume-title":"Advances in Bias and Fairness in Information Retrieval","author":"M Makhortykh","year":"2021","unstructured":"Makhortykh, M., Urman, A., Ulloa, R.: Detecting race and gender bias in visual representation of AI on web search engines. In: Boratto, L., Faralli, S., Marras, M., Stilo, G. (eds.) Advances in Bias and Fairness in Information Retrieval, vol. 1418, pp. 36\u201350. Springer International Publishing (2021). https:\/\/doi.org\/10.1007\/978-3-030-78818-6_5"},{"key":"8_CR14","unstructured":"Manovich, L., Fang, H., Zhang, M.: Automating Aesthetics: Artificial Intelligence and Image Culture (2017). https:\/\/api.semanticscholar.org\/CorpusID:211116298"},{"issue":"2","key":"8_CR15","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1080\/00221309.2014.994590","volume":"142","author":"JT Nadler","year":"2015","unstructured":"Nadler, J.T., Weston, R., Voyles, E.C.: Stuck in the middle: the use and interpretation of mid-points in items on questionnaires. J. Gen. Psychol. 142(2), 71\u201389 (2015). https:\/\/doi.org\/10.1080\/00221309.2014.994590","journal-title":"J. Gen. Psychol."},{"key":"8_CR16","doi-asserted-by":"publisher","DOI":"10.1515\/9780691249643","volume-title":"AI Snake Oil: What Artificial Intelligence Can Do, What it Can\u2019t, and how to Tell the Difference","author":"A Narayanan","year":"2024","unstructured":"Narayanan, A., Kapoor, S.: AI Snake Oil: What Artificial Intelligence Can Do, What it Can\u2019t, and how to Tell the Difference. Princeton University Press (2024)"},{"key":"8_CR17","volume-title":"Weapons of Math Destruction: how Big Data Increases Inequality and Threatens Democracy","author":"C O\u2019Neil","year":"2016","unstructured":"O\u2019Neil, C.: Weapons of Math Destruction: how Big Data Increases Inequality and Threatens Democracy, 1st edn. Crown (2016)","edition":"1"},{"issue":"2","key":"8_CR18","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1023\/A:1020572912884","volume":"16","author":"W Rose","year":"2002","unstructured":"Rose, W.: Crimes of color: risk, profiling, and the contemporary racialization of social control. Int. J. Politics Cult. Soc. 16(2), 179\u2013205 (2002). https:\/\/doi.org\/10.1023\/A:1020572912884","journal-title":"Int. J. Politics Cult. Soc."},{"key":"8_CR19","doi-asserted-by":"publisher","first-page":"258","DOI":"10.35199\/EPDE.2024.44","volume-title":"Proceedings of the International Conference on Engineering and Product Design Education, EPDE 2024","author":"V Silva","year":"2024","unstructured":"Silva, V., Buzzo, D., Hern\u00e1ndez-Ram\u00edrez, R., Ayanoglu, H.: Understanding how undergraduate students perceive biases in AI-generated images, a research-through-design probe. In: Proceedings of the International Conference on Engineering and Product Design Education, EPDE 2024, pp. 258\u2013263 (2024). https:\/\/doi.org\/10.35199\/EPDE.2024.44"},{"key":"8_CR20","doi-asserted-by":"publisher","unstructured":"Sun, L., Wei, M., Sun, Y., Suh, Y. J., Shen, L., Yang, S.: Smiling Women Pitching Down: Auditing Representational and Presentational Gender Biases in Image Generative AI. (2023). https:\/\/doi.org\/10.48550\/ARXIV.2305.10566","DOI":"10.48550\/ARXIV.2305.10566"},{"key":"8_CR21","doi-asserted-by":"publisher","unstructured":"Tully, S., Longoni, C., Appel, G.: EXPRESS: lower artificial intelligence literacy predicts greater AI receptivity. J. Mark., 00222429251314491 (2025). https:\/\/doi.org\/10.1177\/00222429251314491","DOI":"10.1177\/00222429251314491"},{"key":"8_CR22","unstructured":"Which jobs do men and women do? Occupational breakdown by gender. Careersmart. (n.d.). https:\/\/careersmart.org.uk\/occupations\/equality\/which-jobs-do-men-and-women-do-occupational-breakdown-gender"}],"container-title":["Lecture Notes in Computer Science","Human-Computer Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-93864-1_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T09:14:51Z","timestamp":1748942091000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-93864-1_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031938634","9783031938641"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-93864-1_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"4 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gothenburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2025.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}