CHAD VS. THE ALGORITHM.

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Bibliographic Details
Title: CHAD VS. THE ALGORITHM.
Authors: FEATHERS, TODD (AUTHOR)
Source: Wired. Jul/Aug2026, Vol. 34 Issue 4, p50-55. 6p. 5 Color Photographs.
Subjects: Algorithmic bias, Artificial intelligence & ethics, Residents (Medicine), Data privacy, Medical students, Artificial intelligence
Abstract: The article focuses on Chad Markey, a medical student who suspected that an AI screening tool called Cortex, used by residency programs to review applications, unfairly rejected his residency applications due to misinterpretation of his Medical Student Performance Evaluation (MSPE) language regarding medically necessary leaves of absence. Cortex, developed by Thalamus and used by about 30 percent of U.S. residency programs, employs AI primarily for grade normalization but does not officially score or rank applicants, though concerns about inaccuracies and opacity in its AI functions have been raised by applicants and some medical educators. Markey conducted extensive independent research and coding to reverse engineer potential AI biases and filed a data access request under the New Hampshire Privacy Act, but Thalamus clarified that Cortex did not use the scoring methods he suspected. The case highlights broader challenges in transparency, fairness, and regulation of AI tools in high-stakes hiring processes, contrasting them with more regulated AI-driven background check systems under the Fair Credit Reporting Act. [Extracted from the article]
Copyright of Wired is the property of Conde Nast Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: CHAD VS. THE ALGORITHM.
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  Data: <searchLink fieldCode="JN" term="%22Wired%22">Wired</searchLink>. Jul/Aug2026, Vol. 34 Issue 4, p50-55. 6p. 5 Color Photographs.
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  Data: <searchLink fieldCode="DE" term="%22Algorithmic+bias%22">Algorithmic bias</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence+%26+ethics%22">Artificial intelligence & ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Residents+%28Medicine%29%22">Residents (Medicine)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+privacy%22">Data privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+students%22">Medical students</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink>
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  Data: The article focuses on Chad Markey, a medical student who suspected that an AI screening tool called Cortex, used by residency programs to review applications, unfairly rejected his residency applications due to misinterpretation of his Medical Student Performance Evaluation (MSPE) language regarding medically necessary leaves of absence. Cortex, developed by Thalamus and used by about 30 percent of U.S. residency programs, employs AI primarily for grade normalization but does not officially score or rank applicants, though concerns about inaccuracies and opacity in its AI functions have been raised by applicants and some medical educators. Markey conducted extensive independent research and coding to reverse engineer potential AI biases and filed a data access request under the New Hampshire Privacy Act, but Thalamus clarified that Cortex did not use the scoring methods he suspected. The case highlights broader challenges in transparency, fairness, and regulation of AI tools in high-stakes hiring processes, contrasting them with more regulated AI-driven background check systems under the Fair Credit Reporting Act. [Extracted from the article]
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  Data: <i>Copyright of Wired is the property of Conde Nast Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Code: eng
        Text: English
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        PageCount: 6
        StartPage: 50
    Subjects:
      – SubjectFull: Algorithmic bias
        Type: general
      – SubjectFull: Artificial intelligence & ethics
        Type: general
      – SubjectFull: Residents (Medicine)
        Type: general
      – SubjectFull: Data privacy
        Type: general
      – SubjectFull: Medical students
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
    Titles:
      – TitleFull: CHAD VS. THE ALGORITHM.
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            – D: 01
              M: 07
              Text: Jul/Aug2026
              Type: published
              Y: 2026
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