<?xml version="1.0" encoding="UTF-8"?>
<crossref_result xmlns="http://www.crossref.org/qrschema/3.0" version="3.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/qrschema/3.0 http://www.crossref.org/schemas/crossref_query_output3.0.xsd">
  <query_result>
    <head>
      <doi_batch_id>none</doi_batch_id>
    </head>
    <body>
      <query status="resolved">
        <doi type="journal_article">10.5325/critphilrace.14.1.0126</doi>
        <crm-item name="publisher-name" type="string">The Pennsylvania State University Press</crm-item>
        <crm-item name="prefix-name" type="string">The Pennsylvania State University Press</crm-item>
        <crm-item name="member-id" type="number">3287</crm-item>
        <crm-item name="citation-id" type="number">197469887</crm-item>
        <crm-item name="journal-id" type="number">216428</crm-item>
        <crm-item name="deposit-timestamp" type="number">2026070213514822800</crm-item>
        <crm-item name="owner-prefix" type="string">10.5325</crm-item>
        <crm-item name="last-update" type="date">2026-08-12T09:34:43Z</crm-item>
        <crm-item name="created" type="date">2026-07-02T17:58:48Z</crm-item>
        <crm-item name="citedby-count" type="number">1</crm-item>
        <doi_record>
          <crossref xmlns="http://www.crossref.org/xschema/1.1" xsi:schemaLocation="http://www.crossref.org/xschema/1.1 http://doi.crossref.org/schemas/unixref1.1.xsd">
            <journal>
              <journal_metadata language="en">
                <full_title>Critical Philosophy of Race</full_title>
                <issn media_type="print">2165-8684</issn>
                <issn media_type="electronic">2165-8692</issn>
              </journal_metadata>
              <journal_issue>
                <publication_date media_type="other">
                  <month>01</month>
                  <year>2026</year>
                </publication_date>
                <publication_date media_type="print">
                  <month>06</month>
                  <day>19</day>
                  <year>2026</year>
                </publication_date>
                <journal_volume>
                  <volume>14</volume>
                </journal_volume>
                <issue>1</issue>
              </journal_issue>
              <journal_article publication_type="full_text">
                <titles>
                  <title>The Racial Algorithm: AI and Scientific Legitimacy Under the Racial Contract</title>
                </titles>
                <contributors>
                  <person_name sequence="first" contributor_role="author">
                    <given_name>Alexander Williams</given_name>
                    <surname>Tolbert</surname>
                    <affiliations>
                      <institution>
                        <institution_name>Emory University, United States of America</institution_name>
                      </institution>
                    </affiliations>
                  </person_name>
                </contributors>
                <jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1">
                  <jats:title>Abstract</jats:title>
                  <jats:p>Recent debates in political philosophy of science underscore the need for normative frameworks to determine which values should guide scientific inquiry.1 Philosophers of science increasingly draw on principles from political philosophy, such as democratic majoritarianism, deliberative proceduralism, and Rawlsian public reason, to inform scientific investigations.2 The article argues these approaches fail in societies where basic institutions developed through historical racial domination, including chattel slavery, Jim Crow segregation, COINTELPRO’s targeting of Black movements, racially exclusionary housing policies, and mass incarceration without reparative correction. Drawing on Charles Mills’s (2017) critique of ideal theory, the article contends that these frameworks abstract away from the racialized causal structures that shape the data, models, and decisions of contemporary scientific and technological practices, and that the normative constraints they propose are insufficient to secure democratic legitimacy under conditions of unrepaired racial domination.3 Using Artificial Intelligence (AI) as a case study, the article introduces the concept of the Racial Algorithm to show how machine-learning systems fitted to racially structured training distributions can reproduce and compound racial inequities through algorithmic training and deployment. The article concludes by sketching a framework for scientific legitimacy grounded in nonideal theory.</jats:p>
                </jats:abstract>
                <publication_date media_type="other">
                  <month>01</month>
                  <year>2026</year>
                </publication_date>
                <publication_date media_type="print">
                  <month>06</month>
                  <day>19</day>
                  <year>2026</year>
                </publication_date>
                <pages>
                  <first_page>126</first_page>
                  <last_page>153</last_page>
                </pages>
                <doi_data>
                  <doi>10.5325/critphilrace.14.1.0126</doi>
                  <resource>https://scholarlypublishingcollective.org/cpr/article/14/1/126/411345/The-Racial-Algorithm-AI-and-Scientific-Legitimacy</resource>
                  <collection property="crawler-based">
                    <item crawler="iParadigms">
                      <resource>https://scholarlypublishingcollective.org/psup/cpr/article-pdf/14/1/126/2436619/critphilrace_14_1_126.pdf</resource>
                    </item>
                  </collection>
                  <collection property="syndication">
                    <item>
                      <resource mime_type="application/pdf" content_version="vor">https://scholarlypublishingcollective.org/psup/cpr/article-pdf/14/1/126/2436619/critphilrace_14_1_126.pdf</resource>
                    </item>
                  </collection>
                  <collection property="list-based" multi-resolution="unlock">
                    <item label="SECONDARY_X" setbyID="muse_mr">
                      <resource>https://muse.jhu.edu/article/994737</resource>
                    </item>
                  </collection>
                </doi_data>
                <citation_list>
                  <citation key="2026070213514822800_r1">
                    <cYear>2022</cYear>
                    <article_title>“Dismantling the ‘Black Opticon’: Privacy, Race Equity, and Online Data-Protection Reform.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r2">
                    <unstructured_citation>Angwin, Julia, JeffLarson, SuryaMattu, and LaurenKirchner. 2016. “Machine Bias.”ProPublica, May23, 2016. www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing.</unstructured_citation>
                  </citation>
                  <citation key="2026070213514822800_r3">
                    <journal_title>Statistical Science</journal_title>
                    <volume>3</volume>
                    <issue>3</issue>
                    <first_page>377</first_page>
                    <cYear>1988</cYear>
                    <article_title>“Science and Values in the Regulatory Process.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r4">
                    <journal_title>Philosophical Studies</journal_title>
                    <volume>182</volume>
                    <first_page>1133</first_page>
                    <cYear>2025</cYear>
                    <doi provider="crossref">10.1007/s11098-025-02323-x</doi>
                    <article_title>“Public Reason, Values in Science, and the Shifting Boundaries of the Political Forum.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r5">
                    <journal_title>California Law Review</journal_title>
                    <volume>104</volume>
                    <issue>3</issue>
                    <first_page>671</first_page>
                    <cYear>2016</cYear>
                    <article_title>“Big Data’s Disparate Impact.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r6">
                    <journal_title>American Economic Review</journal_title>
                    <volume>94</volume>
                    <issue>4</issue>
                    <first_page>991</first_page>
                    <cYear>2004</cYear>
                    <doi provider="crossref">10.1257/0002828042002561</doi>
                    <article_title>“Are Emily and Greg More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r7">
                    <cYear>2020</cYear>
                    <article_title>“Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r8">
                    <journal_title>American Sociological Review</journal_title>
                    <volume>82</volume>
                    <issue>5</issue>
                    <first_page>977</first_page>
                    <cYear>2017</cYear>
                    <doi provider="crossref">10.1177/0003122417725865</doi>
                  </citation>
                  <citation key="2026070213514822800_r9">
                    <journal_title>Synthese</journal_title>
                    <volume>195</volume>
                    <first_page>2227</first_page>
                    <cYear>2018</cYear>
                    <doi provider="crossref">10.1007/s11229-017-1333-z</doi>
                    <article_title>“Du Bois’ Democratic Defence of the Value Free Ideal.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r10">
                    <journal_title>Scientific Reports</journal_title>
                    <volume>12</volume>
                    <issue>1</issue>
                    <first_page>4209</first_page>
                    <cYear>2022</cYear>
                    <doi provider="crossref">10.1038/s41598-022-07939-1</doi>
                    <article_title>“A Clarification of the Nuances in the Fairness Metrics Landscape.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r11">
                    <journal_title>AI and Ethics</journal_title>
                    <volume>5</volume>
                    <first_page>3743</first_page>
                    <cYear>2025</cYear>
                    <doi provider="crossref">10.1007/s43681-025-00680-1</doi>
                    <article_title>“Hunting for Humans: On Slavery, the Emergence of the US as the World’s First Super Industrial State and Its Deployment of Artificial Intelligence and Other Military Technology to Repress Dissent and Neutralize Enemy Combatants.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r12">
                    <unstructured_citation>Coate, Stephen, and Glenn C.Loury. 1993. “Will Affirmative-Action Policies Eliminate Negative Stereotypes?”American Economic Review83 (5): 1220–40. https://www.jstor.org/stable/2117558.</unstructured_citation>
                  </citation>
                  <citation key="2026070213514822800_r13">
                    <unstructured_citation>Curry, Tommy J.
          2011. “The Political Economy of Reparations: An Anti-Ethical Consideration of Atonement and Racial Reconciliation under Colonial Moralism.”Race, Gender &amp; Class18 (1/2): 125–46. http://www.jstor.org/stable/23884871.</unstructured_citation>
                  </citation>
                  <citation key="2026070213514822800_r14">
                    <journal_title>Philosophy of Science</journal_title>
                    <volume>67</volume>
                    <issue>4</issue>
                    <first_page>559</first_page>
                    <cYear>2000</cYear>
                    <doi provider="crossref">10.1086/392855</doi>
                    <article_title>“Inductive Risk and Values in Science.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r15">
                    <unstructured_citation>Douglas, Heather E.
          2008. “The Role of Values in Expert Reasoning.”Public Affairs Quarterly22 (1): 1–18. https://www.jstor.org/stable/40441475.</unstructured_citation>
                  </citation>
                  <citation key="2026070213514822800_r16">
                    <volume_title>Science, Policy, and the Value-Free Ideal</volume_title>
                    <cYear>2009</cYear>
                  </citation>
                  <citation key="2026070213514822800_r17">
                    <journal_title>Eppur si Muove: Doing History and Philosophy of Science with Peter Machamer</journal_title>
                    <first_page>83</first_page>
                    <cYear>2017</cYear>
                  </citation>
                  <citation key="2026070213514822800_r18">
                    <volume_title>Exploring Inductive Risk: Case Studies of Values in Science</volume_title>
                    <first_page>ix</first_page>
                    <cYear>2017</cYear>
                  </citation>
                  <citation key="2026070213514822800_r19">
                    <journal_title>Science Advances</journal_title>
                    <volume>4</volume>
                    <issue>1</issue>
                    <first_page>eaao5580</first_page>
                    <cYear>2018</cYear>
                    <doi provider="crossref">10.1126/sciadv.aao5580</doi>
                    <article_title>“The Accuracy, Fairness, and Limits of Predicting Recidivism.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r22">
                    <journal_title>Environmental Health Perspectives</journal_title>
                    <volume>122</volume>
                    <issue>7</issue>
                    <first_page>647</first_page>
                    <cYear>2014</cYear>
                    <doi provider="crossref">10.1289/ehp.1408107</doi>
                    <article_title>“Science, Policy, and the Transparency of Values.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r23">
                    <volume_title>Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor</volume_title>
                    <cYear>2018</cYear>
                  </citation>
                  <citation key="2026070213514822800_r24">
                    <journal_title>Journal of Consumer Affairs</journal_title>
                    <volume>55</volume>
                    <issue>2</issue>
                    <first_page>366</first_page>
                    <cYear>2021</cYear>
                    <doi provider="crossref">10.1111/joca.12297</doi>
                    <article_title>“Digital Redlining and the Fintech Marketplace: Evidence from US Zip Codes.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r25">
                    <unstructured_citation>Fryer, Daniel. 2020. “Race, Reform, and Progressive Prosecution.”The Journal of Criminal Law and Criminology110 (4): 769–802. https://www.jstor.org/stable/48595414.</unstructured_citation>
                  </citation>
                  <citation key="2026070213514822800_r26">
                    <journal_title>Criminal Law and Philosophy</journal_title>
                    <volume>17</volume>
                    <first_page>553</first_page>
                    <cYear>2023</cYear>
                    <doi provider="crossref">10.1007/s11572-023-09700-9</doi>
                    <article_title>“Idealizing Abolition.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r27">
                    <journal_title>Journal of Finance</journal_title>
                    <volume>77</volume>
                    <issue>1</issue>
                    <first_page>5</first_page>
                    <cYear>2022</cYear>
                    <doi provider="crossref">10.1111/jofi.13090</doi>
                    <article_title>“Predictably Unequal? The Effects of Machine Learning on Credit Markets.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r28">
                    <journal_title>Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)</journal_title>
                    <cYear>2022</cYear>
                    <article_title>“Pushing the Limits of Fairness Impossibility: Who’s the Fairest of Them All?”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r29">
                    <journal_title>The British Journal for the Philosophy of Science</journal_title>
                    <volume>70</volume>
                    <issue>4</issue>
                    <first_page>1145</first_page>
                    <cYear>2019</cYear>
                    <doi provider="crossref">10.1093/bjps/axy007</doi>
                    <article_title>“What Is Epistemic Public Trust in Science?”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r30">
                    <unstructured_citation>Kleinberg, Jon, SendhilMullainathan, and ManishRaghavan. 2016. “Inherent Trade-Offs in the Fair Determination of Risk Scores.”https://arxiv.org/abs/1609.05807.</unstructured_citation>
                  </citation>
                  <citation key="2026070213514822800_r31">
                    <journal_title>Significance</journal_title>
                    <volume>13</volume>
                    <first_page>14</first_page>
                    <cYear>2016</cYear>
                    <doi provider="crossref">10.1111/j.1740-9713.2016.00960.x</doi>
                    <article_title>“To Predict and Serve?”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r32">
                    <journal_title>Studies in History and Philosophy of Science</journal_title>
                    <volume>90</volume>
                    <first_page>102</first_page>
                    <cYear>2021</cYear>
                    <doi provider="crossref">10.1016/j.shpsa.2021.08.009</doi>
                    <article_title>“Does Democracy Require Value-Neutral Science? Analyzing the Legitimacy of Scientific Information in the Political Sphere.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r33">
                    <unstructured_citation>McLeod, Allegra M.
          2015. “Prison Abolition and Grounded Justice.”UCLA Law Review62: 1156–1239. https://www.uclalawreview.org/prison-abolition-and-grounded-justice/.</unstructured_citation>
                  </citation>
                  <citation key="2026070213514822800_r34">
                    <journal_title>Teaching Philosophy</journal_title>
                    <volume>17</volume>
                    <issue>3</issue>
                    <first_page>223</first_page>
                    <cYear>1994</cYear>
                    <doi provider="crossref">10.5840/teachphil199417327</doi>
                    <article_title>“Non-Cartesian Sums: Philosophy and the African-American Experience.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r35">
                    <volume_title>The Racial Contract</volume_title>
                    <cYear>1997</cYear>
                  </citation>
                  <citation key="2026070213514822800_r36">
                    <journal_title>Hypatia</journal_title>
                    <volume>20</volume>
                    <issue>3</issue>
                    <first_page>165</first_page>
                    <cYear>2005</cYear>
                    <article_title>“Ideal Theory as Ideology.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r37">
                    <journal_title>Black Rights/White Wrongs: The Critique of Racial Liberalism</journal_title>
                    <cYear>2017</cYear>
                  </citation>
                  <citation key="2026070213514822800_r38">
                    <volume>92</volume>
                    <first_page>69</first_page>
                    <cYear>2018</cYear>
                  </citation>
                  <citation key="2026070213514822800_r39">
                    <cYear>2020</cYear>
                  </citation>
                  <citation key="2026070213514822800_r40">
                    <journal_title>Science</journal_title>
                    <volume>366</volume>
                    <issue>6464</issue>
                    <first_page>447</first_page>
                    <cYear>2019</cYear>
                    <doi provider="crossref">10.1126/science.aax2342</doi>
                    <article_title>“Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r41">
                    <volume_title>Educational Work beyond Carceral Logics: Stereoscopic Engagements with Educational Philosophy and Abolitionism. Acta Universitatis Gothoburgensis: Gothenburg Studies in Educational Sciences 504</volume_title>
                    <cYear>2025</cYear>
                  </citation>
                  <citation key="2026070213514822800_r42">
                    <volume_title>Liberalism without Perfection</volume_title>
                    <cYear>2011</cYear>
                  </citation>
                  <citation key="2026070213514822800_r43">
                    <doi provider="crossref">10.2307/1600311</doi>
                    <unstructured_citation>Rawls, John. 1997. “The Idea of Public Reason Revisited.”University of Chicago Law Review64(3): 765–807. https://www.jstor.org/stable/1600311.</unstructured_citation>
                  </citation>
                  <citation key="2026070213514822800_r44">
                    <volume_title>A Theory of Justice</volume_title>
                    <edition_number>Rev.</edition_number>
                    <cYear>1999</cYear>
                  </citation>
                  <citation key="2026070213514822800_r45">
                    <unstructured_citation>Richardson, Rashida, JasonSchultz, and KateCrawford. 2019. “Dirty Data, Bad Predictions: How Civil Rights Violations Impact Police Data, Predictive Policing Systems, and Justice.”New York University Law Review Online94: 192–233. ssrn.com/abstract=3333423.</unstructured_citation>
                  </citation>
                  <citation key="2026070213514822800_r47">
                    <journal_title>The British Journal for the Philosophy of Science</journal_title>
                    <volume>72</volume>
                    <first_page>545</first_page>
                    <cYear>2021</cYear>
                    <doi provider="crossref">10.1093/bjps/axz023</doi>
                    <article_title>“Democratic Values: A Better Foundation for Public Trust in Science.”</article_title>
                  </citation>
                  <citation key="2026070213514822800_r48">
                    <journal_title>Insurrectionist Ethics: Radical Perspectives on Social Justice</journal_title>
                    <first_page>157</first_page>
                    <cYear>2023</cYear>
                  </citation>
                </citation_list>
              </journal_article>
            </journal>
          </crossref>
        </doi_record>
      </query>
    </body>
  </query_result>
</crossref_result>