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"Ethics is not neutral": Understanding Ethical and Responsible AI Design from the Lenses of Black Youth

Tanksley, Tiera, Smith, Angela D. R., Sharma, Saloni, Huff, Earl W·2025·Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
DOI 10.1145/3706598.3713510
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  • Tanksley et al. (2025) documented that Black youth in a college bridge summer course identified AI as perpetuating racial violence and proposed justice-oriented, historically grounded design principles.

    “The importance of grounding ethical AI design in the lived experiences of marginalized youth has also been demonstrated by Tanksley et al. (2025), who documented how Black youth in a college bridge summer course identified AI as perpetuating racial violence and proposed justice-oriented, historically grounded design principles, a participatory approach whose logic extends to LGBTQ+ youth.”

    From Artificial intelligence and immersive technologies for LGBTQ+ youth: a narrative review (2026) · cites this paper as Tanksley et al. (2025)

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Research works printed but not linked: 102

  1. Selin Akgün and Christine Greenhow. 2021. Artificial Intelligence in Education: Addressing Ethical Challenges in K-12 Settings. Ai and Ethics 2 3 (2021) 431–440. 10.1007/s43681-021-00096-7 · DOI · Paper page
  2. Ramon Amaro. 2022. The black technical object: on machine learning and the aspiration of black being. Sternberg Press.
  3. Lisa Amini Ching‐Hua Chen David Cox Aude Oliva and Antonio Torralba. 2020. Experiences and Insights for Collaborative Industry–Academic Research in Artificial Intelligence. 41 1 (2020) 70–81. 10.1609/aimag.v41i1.5201 · DOI
  4. Muhammad Anshari Mohammad Nabil Almunawar Masairol Masri and Milan Hrdy. 2021. Financial technology with ai-enabled and ethical challenges. Society 58 3 (2021) 189–195. · DOI
  5. Catherine Ashcraft Elizabeth K. Eger and Kimberly A. Scott. 2017. Becoming Technosocial Change Agents: Intersectionality and Culturally Responsive Pedagogies as Vital Resources for Increasing Girls’ Participation in Computing. Anthropology & Education Quarterly 48 3 (Aug 2017) 233–251. 10.1111/aeq.12197 · DOI
  6. 10.1145/3531146.3533781 · DOI
  7. Chelsea Barabas. 2020. Beyond bias: re-imagining the terms of" ethical ai" in criminal law. Geo. JL & Mod. Critical Race Persp. 12 (2020) 83. · DOI
  8. Ruha Benjamin. 2019. Race After Technology. John Wiley & Sons.
  9. Dolores Delgado Bernal. 1998. Using a Chicana feminist epistemology in educational research. Harvard educational review 68 4 (1998) 555–583. · DOI · Paper page
  10. Amy L Best. 2003. Doing race in the context of feminist interviewing: Constructing whiteness through talk. Qualitative inquiry 9 6 (2003) 895–914. · DOI
  11. 10.1145/3531146.3533157 · DOI
  12. Jason Borenstein and Ayanna Howard. 2021. Emerging challenges in AI and the need for AI ethics education. AI and Ethics 1 1 (Feb. 2021) 61–65. 10.1007/s43681-020-00002-7 · DOI · Paper page
  13. 10.7551/mitpress/11022.001.0001 · DOI
  14. 10.1215/9780822375302 · DOI · Paper page
  15. 10.1145/3649217.3653550 · DOI
  16. Levi Checketts. 2022. Artificial Intelligence and the Marginalization of the Poor. Journal of Moral Theology 11 Special Issue 1 (2022) 87–111. · DOI
  17. Kimberlé Williams Crenshaw. 2013. Mapping the margins: Intersectionality, identity politics, and violence against women of color. In The public nature of private violence. Routledge, 93–118.
  18. Roderic N Crooks. 2024. Access Is Capture: How Edtech Reproduces Racial Inequality. Univ of California Press.
  19. Jay Cunningham Gabrielle Benabdallah Daniela Rosner and Alex Taylor. 2023. On the grounds of solutionism: Ontologies of blackness and HCI. ACM Transactions on Computer-Human Interaction 30 2 (2023) 1–17. · DOI
  20. Richard Delgado and Jean Stefancic. 2023. Critical race theory: An introduction. Vol. 87. NyU press.
  21. Ezekiel Dixon-Román. 2016. Algo-ritmo: More-than-human performative acts and the racializing assemblages of algorithmic architectures. Cultural Studies? Critical Methodologies 16 5 (2016) 482–490. · DOI
  22. Derek Doran Sarah Schulz and Tarek R Besold. 2017. What does explainable AI really mean? A new conceptualization of perspectives. arXiv preprint arXiv:https://arXiv.org/abs/1710.00794 (2017). · arXiv
  23. Michael J Dumas. 2016. Against the dark: Antiblackness in education policy and discourse. Theory into practice 55 1 (2016) 11–19. · DOI
  24. Peter Eckersley. 2018. Impossibility and Uncertainty Theorems in AI Value Alignment (or why your AGI should not have a utility function). arXiv preprint arXiv:https://arXiv.org/abs/1901.00064 (2018). · arXiv
  25. C. Alejandra Elenes and Dolores Delgado Bernal. 2009. Latina/o Education and the Reciprocal Relationship between Theory and Practice: Four Theories Informed by the Experiential Knowledge of Marginalized Communities. Taylor & Francis.
  26. Sheena Erete Yolanda Rankin and Jakita Thomas. 2023. A method to the madness: Applying an intersectional analysis of structural oppression and power in HCI and design. ACM Transactions on Computer-Human Interaction 30 2 (2023) 1–45. · DOI
  27. Sheena Erete Yolanda A Rankin and Jakita O Thomas. 2021. I can’t breathe: Reflections from Black women in CSCW and HCI. Proceedings of the ACM on Human-Computer Interaction 4 CSCW3 (2021) 1–23. · DOI
  28. Luciano Floridi Josh Cowls Monica Beltrametti Raja Chatila Patrice Chazerand Virginia Dignum Christoph Luetge Robert Madelin Ugo Pagallo Francesca Rossi et al. 2021. An ethical framework for a good AI society: Opportunities risks principles and recommendations. Ethics governance and policies in artificial intelligence (2021) 19–39. · DOI
  29. 10.1109/RESPECT51740.2021.9620549 · DOI
  30. 10.4324/9780203760642 · DOI
  31. Patricia Garcia Alejandra Gonzalez Mikayla Buford Sheena Erete Jakita O. Thomas and Yolanda A. Rankin. 2022. Building space for feminist solidarity. Interactions 29 5 (aug 2022) 86–88. 10.1145/3554759 · DOI
  32. Timnit Gebru. 2020. Race and gender. The Oxford handbook of ethics of aI (2020) 251–269. · DOI · Paper page
  33. Timnit Gebru and Émile P Torres. 2024. The TESCREAL bundle: Eugenics and the promise of utopia through artificial general intelligence. First Monday (2024). · DOI · Paper page
  34. 10.1145/3411764.3445723 · DOI
  35. Jamie Harris and Jacy Reese Anthis. 2021. The moral consideration of artificial entities: a literature review. Science and engineering ethics 27 4 (2021) 53. · DOI
  36. Valentin Hofmann Pratyusha Ria Kalluri Dan Jurafsky and Sharese King. 2024. Dialect prejudice predicts AI decisions about people’s character employability and criminality. arXiv preprint arXiv:https://arXiv.org/abs/2403.00742 (2024). · arXiv
  37. 10.1145/3278721.3278753 · DOI
  38. Bell Hooks. 1986. Talking Back. Discourse 8 (1986) 123–128. http://www.jstor.org/stable/44000276 · DOI
  39. Bell Hooks. 2014. Ain’t I a woman: Black women and feminism. (2014). · DOI
  40. Tyrone C Howard. 2014. Black male (d): Peril and promise in the education of African American males. Teachers College Press.
  41. Johann Jakob Häußermann and Christoph Lütge. 2021. Community-in-the-loop: towards pluralistic value creation in AI or—why AI needs business ethics. AI and Ethics 2 2 (Mar 2021) 341–362. 10.1007/s43681-021-00047-2 · DOI
  42. Maurice Jakesch Zana Buçinca Saleema Amershi and Alexandra Olteanu. 2022. How Different Groups Prioritize Ethical Values for Responsible AI. 2022 ACM Conference on Fairness Accountability and Transparency (Jun 2022). 10.1145/3531146.3533097 · DOI · Paper page
  43. Margaret Kovach. 2021. Indigenous methodologies: Characteristics, conversations, and contexts. University of Toronto press.
  44. 10.1145/3442188.3445938 · DOI
  45. Laura Köbis and Caroline Mehner. 2021. Ethical Questions Raised by AI-Supported Mentoring in Higher Education. Frontiers in Artificial Intelligence 4 (2021). 10.3389/frai.2021.624050 · DOI
  46. Gloria Ladson-Billings and William Tat IV. 2006. Toward a Critical Race Theory of Education. Taylor & Francis.
  47. M John Lamola. 2021. An ontic–ontological theory for ethics of designing social robots: a case of Black African women and humanoids. Ethics and Information Technology 23 2 (2021) 119–126. · DOI
  48. Matthew Le Bui and Safiya Umoja Noble. 2020. We’re missing a moral framework of justice in artificial intelligence. The Oxford handbook of ethics of AI (2020) 163–179. · DOI · Paper page
  49. 10.1145/3411764.3445377 · DOI
  50. Xiangui Lin Lu Chen Kan K. Chan Shi-Qing Peng Xifan Chen Jiachun Liu and Qintai Hu. 2022. Teachers’ Perceptions of Teaching Sustainable Artificial Intelligence: A Design Frame Perspective. Sustainability 14 13 (2022) 7811. 10.3390/su14137811 · DOI
  51. Audre Lorde. 2003. The master’s tools will never dismantle the master’s house. Feminist postcolonial theory: A reader 25 (2003) 27. · DOI
  52. Bettina L Love. 2019. We want to do more than survive: Abolitionist teaching and the pursuit of educational freedom. Beacon press.
  53. Bettina L Love. 2023. Punished for dreaming: How school reform harms Black children and how we heal. St. Martin’s Press.
  54. Giampiero Lupo et al. 2022. The ethics of Artificial Intelligence: An analysis of ethical frameworks disciplining AI in justice and other contexts of application. Oñati Socio-Legal Series 12 3 (2022) 614–653. · DOI
  55. Swati Mehrotra and Neelu Sinha. 2024. A Human-Centric Approach towards Equity and Inclusion in AI Education. 3 1 (2024) 501–507. 10.1609/aaaiss.v3i1.31264Number: 1. · DOI
  56. 10.1145/3442188.3445880 · DOI
  57. Scott Michaelsen and David E Johnson. 1997. Border theory: The limits of cultural politics. U of Minnesota Press.
  58. Monique Morris. 2016. Pushout: The criminalization of Black girls in schools. New Press, The.
  59. Davy Tsz Kit Ng Min Lee Roy Jun Yi Tan Xiao Hu J. Stephen Downie and Samuel Kai Wah Chu. 2023. A review of AI teaching and learning from 2000 to 2020. 28 7 (2023) 8445–8501. 10.1007/s10639-022-11491-w · DOI
  60. Andy Nguyen Ha Ngan Ngo Yvonne Hong Belle Dang and Bich-Phuong Thi Nguyen. 2023. Ethical principles for artificial intelligence in education. Education and Information Technologies 28 4 (2023) 4221–4241. · DOI · Paper page
  61. Safiya Umoja Noble. 2018. Algorithms of oppression: How search engines reinforce racism. In Algorithms of oppression. New York university press. · DOI
  62. 10.1145/3313831.3376392 · DOI
  63. Leila Ouchchy Allen Coin and Veljko Dubljević. 2020. AI in the headlines: the portrayal of the ethical issues of artificial intelligence in the media. AI & SOCIETY 35 (2020) 927–936. · DOI
  64. Zach Parsons. 2008. Blackbird: The World’s first African American browser. https://www.somethingawful.com/feature-articles/blackbird-review-mozilla/1/#: :text=Blackbird%20was%20developed%20by%20a for%20white%20browsers%20like%20Firefox.
  65. 10.1145/3531146.3534644 · DOI
  66. Ibo v. d. Poel. 2020. Embedding Values in Artificial Intelligence (AI) Systems. Minds and Machines 30 3 (2020) 385–409. 10.1007/s11023-020-09537-4 · DOI · Paper page
  67. Verma Prikshat Parth Patel Arup Varma and Alessio Ishizaka. 2022. A multi-stakeholder ethical framework for AI-augmented HRM. International Journal of Manpower 43 1 (2022) 226–250. · DOI · Paper page
  68. Pia Puolakka. 2022. Smart Prison: From Prison Digitalisation to Prison Using Learning and Training Artificial Intelligence. https://justice-trends.press/smart-prison-from-prison-digitalisation-to-prison-using-learning-and-training-artificial-intelligence/
  69. 10.1145/3442188.3445914 · DOI
  70. Yolanda A Rankin and Kallayah K Henderson. 2021. Resisting racism in tech design: centering the experiences of black youth. Proceedings of the ACM on Human-Computer Interaction 5 CSCW1 (2021) 1–32. · DOI
  71. Yolanda A Rankin and India Irish. 2020. A seat at the table: Black feminist thought as a critical framework for inclusive game design. Proceedings of the ACM on Human-Computer Interaction 4 CSCW2 (2020) 1–26. · DOI
  72. Yolanda A Rankin Jakita O Thomas and Sheena Erete. 2021. Black women speak: Examining power privilege and identity in CS education. ACM Transactions on Computing Education (TOCE) 21 4 (2021) 1–31. · DOI
  73. 10.1145/3341525.3387364 · DOI
  74. Morgan Klaus Scheuerman Alex Hanna and Emily Denton. 2021. Do datasets have politics? Disciplinary values in computer vision dataset development. Proceedings of the ACM on Human-Computer Interaction 5 CSCW2 (2021) 1–37. · DOI · Paper page
  75. Morgan Klaus Scheuerman Madeleine Pape and Alex Hanna. 2021. Auto-essentialization: Gender in automated facial analysis as extended colonial project. Big Data & Society 8 2 (2021) 20539517211053712. · DOI
  76. 10.1145/3563657.3596105 · DOI
  77. Donghee Shin and Yong Jin Park. 2019. Role of fairness accountability and transparency in algorithmic affordance. Computers in Human Behavior 98 (2019) 277–284. · DOI · Paper page
  78. Christine E. Sleeter. 2012. Confronting the Marginalization of Culturally Responsive Pedagogy. Urban Education 47 3 (Feb 2012) 562–584. 10.1177/0042085911431472 · DOI
  79. Geneva Smitherman. 1977. Talkin and Testifyin: The Language of Black America. Houghton Mifflin, Boston.
  80. 10.4324/9780203006665 · DOI
  81. Jaemarie Solyst Shixian Xie Ellia Yang Angela E.B. Stewart Motahhare Eslami Jessica Hammer and Amy Ogan. 2023. “I Would Like to Design”: Black Girls Analyzing and Ideating Fair and Accountable AI(CHI ’23). Association for Computing Machinery New York NY USA Article 452 14 pages. 10.1145/3544548.3581378 · DOI
  82. Jaemarie Solyst Ellia Yang Shixian Xie Amy Ogan Jessica Hammer and Motahhare Eslami. 2023. The Potential of Diverse Youth as Stakeholders in Identifying and Mitigating Algorithmic Bias for a Future of Fairer AI. Proc. ACM Hum.-Comput. Interact. 7 CSCW2 Article 364 (oct 2023) 27 pages. 10.1145/3610213 · DOI · Paper page
  83. John H Stanfield. 1999. Slipping through the front door: Relevant social scientific evaluation in the people of color century. American Journal of Evaluation 20 3 (1999) 415–431. · DOI
  84. James Stripes and Gerald Vizenor. 1998. Fugitive Poses: Native American Indian Scenes of Absence and Presence. American Indian Quarterly 22 3 (1998) 393. 10.2307/1184820 · DOI
  85. Tiera Tanksley. 2023. Employing an Abolitionist Critical Race Pedagogy in CS: Centering the Voices Experiences and Technological Innovations of Black Youth. (2023). · DOI · Paper page
  86. Tiera Tanksley and Cynthia Estrada. 2022. Toward a critical race RPP: How race power and positionality inform research practice partnerships. International journal of research & method in education 45 4 (2022) 397–409. · DOI
  87. By Keila D Taylor. 2018. Rejecting Objectivity: Reflections of a Black Feminist Researcher Interviewing Black Women. a/b: Auto/Biography Studies 33 3 (2018) 721–726. · DOI
  88. David R. Thomas. 2006. A general inductive approach for qualitative data analysis. American Journal of Evaluation 27 (2006) 237–246. Issue 2. · DOI · Paper page
  89. Sepehr Vakil. 2018. Ethics identity and political vision: Toward a justice-centered approach to equity in computer science education. Harvard educational review 88 1 (2018) 26–52. · DOI
  90. 10.1109/ICE.2018.8436265 · DOI
  91. Francisco Valdes and Steven W Bender. 2021. LatCrit: From critical legal theory to academic activism. nyu press.
  92. N. H. Vasoya. 2023. The Role of Parents and Educators in Managing the Risks of Artificial Intelligence. Asian Journal of Education and Social Studies 41 4 (2023) 1–5. 10.9734/ajess/2023/v41i4899 · DOI
  93. 10.1145/3544548.3581278 · DOI
  94. Zuyao Wang and Yuhong Zhang. 2022. A Study of Ethics on Intelligent Nonlinear Prediction Creative Design. Scientific Programming 2022 (2022). · DOI
  95. 10.18260/1-2--40413 · DOI
  96. 10.1145/3328778.3366792 · DOI
  97. 10.1145/3610978.3640766 · DOI
  98. 10.1145/3600211.3604663 · DOI
  99. King W. Yau Ching S. Chai Thomas K. F. Chiu Huadong Meng Irwin King and Yeung Yam. 2022. A Phenomenographic Approach on Teacher Conceptions of Teaching Artificial Intelligence (AI) in K-12 Schools. Education and Information Technologies 28 1 (2022) 1041–1064. 10.1007/s10639-022-11161-x · DOI · Paper page
  100. Han Yu Zhiqi Shen Chunyan Miao Cyril Leung Victor R Lesser and Qiang Yang. 2018. Building ethics into artificial intelligence. arXiv preprint arXiv:https://arXiv.org/abs/1812.02953 (2018). · DOI · Paper page
  101. Liheng Yu and Zhonggen Yu. 2023. Qualitative and Quantitative Analyses of Artificial Intelligence Ethics in Education Using VOSviewer and CitNetExplorer. Frontiers in Psychology 14 (2023). 10.3389/fpsyg.2023.1061778 · DOI
  102. 10.1145/3568739.3568796 · DOI

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Metadata

Authors
Tanksley, T., Smith, A. D. R., Sharma, S., & Huff, E. W.
Venue
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2025-04-25
Pages
1-20
DOI
10.1145/3706598.3713510
Cited by
19
References
23
Licence
creativecommons.org/licenses/by/4.0/ (vor)

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