As far as recent innovation practices go, artificial intelligence (AI) represents one of the major disruptions reshaping various aspects of human life. Health care is perhaps one of the industries where AI stands to be most transformative, particularly as it is increasingly used to diagnose illnesses, assist in creating treatment plans, reduce human error, and offer routine patient services. Yet despite its rapid growth, AI technology still reflects human biases and perceptions, allowing it to replicate existing inequalities. These inequalities could take on particular significance given persistent occupational stratification and increasing racial diversity. In this paper, we theorize how the growing reliance on AI in the US health care system will affect Black care providers and patients.
AcemogluDaronAutorDavidHazellJonathonRestrepoPascual. (2022) “Artificial Intelligence and Jobs: Evidence from Online Vacancies.” Journal of Labor Economics40(S1):S293–S340.
2.
AlegriaSharla. 2023. “Race and Intersecting Inequalities in Machine Learning.” In The Oxford Handbook of the Sociology of Machine Learning, edited by ChristianBorchPablo Pardo-GuerraJuan. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780197653609.013.23
3.
AliMuhammadSapiezynskiPiotrBogenMirandaKorolovaAleksandraMisloveAlanRiekeAaron. 2019. “Discrimination Through Optimization: How Facebook’s Ad Delivery Can Lead to Skewed Outcomes.” Proceedings of the ACM on Human Computer Interaction3: 1–30.
4.
Avent-HoltDustinTomaskovic-DeveyDon. 2021. Relational Inequalities. New York: Oxford.
5.
AvnoonNettaEyalGil. 2025. “It’s Not a Bug, It’s a Feature: How AI Experts and Data Scientists Account for the Opacity of Algorithms.” Social Studies of Science56 (1): 28–52.
6.
BeaneMatthew. 2019. “Shadow Learning: Building Robotic Surgical Skill When Approved Means Fail.” Administrative Science Quarterly64(1):87–123.
BenjaminRuha. 2019b Race After Technology. New York: Polity Press.
9.
Bonilla-SilvaEduardo. 2001. White Supremacy and Racism in the Post-Civil Rights Era. Denver, CO: Lynne Reimer Press.
10.
BoosaSrichandra. 2019. “AI and Creativity: How Writing, Music, and Art Are Increasingly Revolutionized by Machine Learning.” EPH-International Journal of Science and Engineering5(4):37–47.
11.
BranchAnnaHanleyCaroline. (2022) Work in Black and White. New York: Russell Sage.
Bureau of Labor Statistics. 2024. “Employed Persons by Detailed Occupation, Sex, Race, and Hispanic or Latino Ethnicity.” Retrieved April 14, 2025 (https://www.bls.gov/cps/cpsaat11.htm).
14.
ChoroszewiczMartaAdamsTracey L.2019. “Gender and Age in the Professions: Intersectionality, Meta-Work, and Social Change.” Professions and Professionalism9(2):1–13. http://doi.org/10.7577/p3432
ColenCynthiaRameyDavidCookseyElizabethWilliamsDavid. 2018. “Racial Disparities in Health Among Nonpoor African Americans and Hispanics: The Role of Acute and Chronic Discrimination.” Social Science and Medicine199:167–80.
17.
CollinsPatricia Hill. 2000. Black Feminist Thought. New York: Routledge.
18.
CrawfordKate. 2016. “Artificial Intelligence’s White Guy Problem.” The New York Times25(6):5.
DavenportThomasKalakotaRavi. 2019. “The Potential for Artificial Intelligence in Health Care.” Future Healthcare Journal6(2):94–98.
21.
EyalGil. 2013. “For a Sociology of Expertise: The Social Origins of the Autism Epidemic.” American Journal of Sociology118(4):863–907.
22.
FaulconbridgeJamesHenriksenLasse FolkeSeabrookeLeonard. 2021. “How Professional Actions Connect and Protect.” Journal of Professions and Organization8(2):214–27.
23.
FaulconbridgeJamesSarwarAtifSpringMartin. 2025. “How Professionals Adapt to Artificial Intelligence: The Role of Intertwined Boundary Work.” Journal of Management Studies62(5):1991–2024.
24.
FeaginJoe. 2006. Systemic Racism. New York: Routledge.
25.
FeltenEdward W.RajManavSeamansRobert. 2023. “Occupational Heterogeneity in Exposure to Generative AI” Retrieved May 29, 2026 (https://ssrn.com/abstract=4414065; http://dx.doi.org/10.2139/ssrn.4414065).
HoffmanKellyTrawalterSophieAxtJordanOliverM. Norman. 2016. “Racial Bias in Pain Assessment, Treatment Recommendations, and False Beliefs About Biological Differences Between Blacks and Whites.” Proceedings of the National Academy of Sciences113(16):4296–301.
31.
JoHae-Kyung. 2024. “Why Nursing Cannot Be Replaced with Artificial Intelligence.” Women’s Health Nursing30(4):340–4.
32.
JoyceKellyCruzTaylor M.2024 “A Sociology of Artificial Intelligence: Inequalities, Power, and Data Justice.” Socius10:23780231241275393.
33.
JoyceKellySmith-DoerrLaurelAlegriaSharlaBellSusanCruzTaylorHoffmanSteve G.Umoja NobleSafiyaShestakofskyBenjamin. 2021. “Toward a Sociology of Artificial Intelligence: A Call for Research on Inequalities and Structural Change.” Socius7:2378023121999581.
34.
KalevAlexandra. 2014. “How You Downsize Is Who You Downsize: Biased Formalization, Accountability, and Managerial Diversity.” American Sociological Review79(1):109–135.
LebovitzSarahLevinaNataliaLifshitz-AssafHila. 2021. “Is AI Ground Truth Really True? The Dangers of Training and Evaluating AI Tools Based on Experts’ Know-What.” MIS Quarterly45(3):1501–26.
37.
LebovitzSarahLifshitz-AssafHilaLevinaNatalia. 2022. “To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis.” Organization Science33(1):126–48.
ListerRolandaDrakeWonderScottBaldwinGravesCornelia. 2020. “Black Maternal Mortality: The Elephant in the Room.” World Journal of Gynecology and Women’s Health3(1): 1–8. https://doi.org/10.33552/wjgwh.2019.03.000555
40.
NobleSafiya Umoja. 2018. “Algorithms of Oppression: How Search Engines Reinforce Racism.” In Algorithms of Oppression. New York: New York University Press.
41.
ObermeyerZiadPowersBrianVogeliChristineMullainathanSendhil. 2019. “Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations.” Science Adviser366(6446):447–53.
42.
OwensDeirdre Cooper. 2017. Medical Bondage: Race, Gender, and the Origins of American Gynecology. Athens, GA: University of Georgia Press.
43.
RoscignoVincent. 2007. The Face of Discrimination. New York: Routledge
44.
RitzerGeorge. 2015. “Prosumer Capitalism.” The Sociological Quarterly56(3):413–45.
45.
SacksTina. 2018. Invisible Visits. New York: Oxford University Press.
46.
SaeediSirweFongA.GuptaAjayCarrSteve M.2022. “Improving Healthcare Outcomes with Learning Models for Machine Commonsense Reasoning Systems.” Pp. 1–4 in 2022 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE), Tainan, Taiwan. https://doi.org/10.1109/RASSE54974.2022.10019733
47.
ScottW. Richard. 2008. “Lords of the Dance: Professionals as Institutional Agents.” Organization Studies29(2):219–38.
48.
SergeevaAnastasia V.FarajSamerHuysmanMarleen. 2020. “Losing Touch: An Embodiment Perspective on Coordination in Robotic Surgery.” Organization Science31(5):1248–71.
49.
Seyyed-KalantariLalehZhangHaoranMcDermottMatthewChenIreneGhassemiMarzyeh. 2021. “Underdiagnosis Bias of Artificial Intelligence Algorithms Applied to Chest Radiographs in Underserved Patient Populations.” Nature Medicine27:2176–82.
50.
ShestakofskyBenjamin. 2017. “Working Algorithms: Software Automation and the Future of Work.” Work and Occupations44(4):376–423.
51.
SmileyRichard A.AllgeyerRichard L.ShoboYettyLyonsKaren C.LetourneauRaynaZhongElizabethKaminski-OzturkNicoleAlexanderMaryann. 2023. The 2022 national nursing workforce survey. Journal of Nursing Regulation14(1):S1–S90.
52.
TillyCharles. 1998. Durable Inequality. Berkeley, CA: Univ of California Press.
53.
TillyCharles. 2003. The Politics of Collective Violence. Oxford, UK: Cambridge University Press.
54.
ValeMira. 2024. “Moral Entrepreneurship and the Ethics of Artificial Intelligence in Digital Psychiatry.” Socius. Advance online publication. https://doi.org/10.1177/2378023124125964
55.
VarnosfaderaniShivaForouzenfarMohamed2024. “The Role of AI In Hospitals and Clinics: Transforming Health Care in the 21st Century.” Bioengineering11(4):337.
56.
WilliamsDavidLawrenceJourdynDavisBrigette. 2019. “Racism and Health: Evidence and Needed Research.” Annual Review of Public Health40:105–125.
57.
WingfieldAdia Harvey. 2019. Flatlining: Race, Work, and Health Care in the New Economy. Berkeley, CA: University of California Press.
58.
WingfieldAdia Harvey. 2020. “When Passion Serves a Purpose: Race, Social Networks, and Countering Occupational Discrimination.” Pp. 183–97 in The Ecology of Purposeful Living Across the Life Span, edited by PatrickHillBurrowAnthony. New York: Springer.
59.
WingfieldAdia Harvey. 2023. Gray Areas. New York: Harper Collins.
60.
WingfieldAdia HarveyChavezKoji. 2020. “Getting in, Getting Hired, Getting Sideways Looks: Organizational Hierarchy and Perceptions of Racial Discrimination.” American Sociological Review85(1):31–57.
61.
WoodsonKevin. 2023. The Black Ceiling. Chicago: University of Chicago Press.
62.
YoungErinWajcmanJudySprejerLaila. 2023. “Mind the Gender Gap: Inequalities in the Emergent Professions of Artificial Intelligence (AI) and Data Science.” New Technology, Work and Employment38(3):391–414.
63.
ZuboffShoshana. 2015. “Big Other: Surveillance Capitalism and the Prospects of an Information Civilization.” Journal of Information Technology30(1):75–89.
