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Timnit Gebru.

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Bibliographic Details
Title: Timnit Gebru.
Authors: SATYANARAYANA, MEGHA (AUTHOR)
Source: Scientific American. Jul/Aug2026, Vol. 335 Issue 1, p86-87. 2p. 1 Color Photograph.
Subjects: Corporate power, Research integrity, Artificial intelligence, University research, Computer scientists, Research funding, Distributed artificial intelligence
Abstract: The article focuses on safeguarding independent research in the context of artificial intelligence (AI) amid corporate influence. Timnit Gebru, a computer scientist and founder of the Distributed AI Research Institute, critiques the current AI research landscape as corporate-driven and lacking in transparency and proper scientific practices. She advocates for funding that prioritizes scientific curiosity and public well-being over corporate or military interests. Gebru highlights the innovation possible within small organizations operating on limited budgets and encourages early-career scientists to critically question information sources and incentive structures. [Extracted from the article]
Copyright of Scientific American is the property of Scientific American 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.)
Database: Psychology and Behavioral Sciences Collection
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DbLabel: Psychology and Behavioral Sciences Collection
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AccessLevel: 6
PubType: Periodical
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  Data: Timnit Gebru.
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  Data: <searchLink fieldCode="AR" term="%22SATYANARAYANA%2C+MEGHA%22">SATYANARAYANA, MEGHA</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Scientific+American%22">Scientific American</searchLink>. Jul/Aug2026, Vol. 335 Issue 1, p86-87. 2p. 1 Color Photograph.
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  Data: <searchLink fieldCode="DE" term="%22Corporate+power%22">Corporate power</searchLink><br /><searchLink fieldCode="DE" term="%22Research+integrity%22">Research integrity</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22University+research%22">University research</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+scientists%22">Computer scientists</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+artificial+intelligence%22">Distributed artificial intelligence</searchLink>
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  Data: The article focuses on safeguarding independent research in the context of artificial intelligence (AI) amid corporate influence. Timnit Gebru, a computer scientist and founder of the Distributed AI Research Institute, critiques the current AI research landscape as corporate-driven and lacking in transparency and proper scientific practices. She advocates for funding that prioritizes scientific curiosity and public well-being over corporate or military interests. Gebru highlights the innovation possible within small organizations operating on limited budgets and encourages early-career scientists to critically question information sources and incentive structures. [Extracted from the article]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Scientific American is the property of Scientific American 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=194270489
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      – Code: eng
        Text: English
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        PageCount: 2
        StartPage: 86
    Subjects:
      – SubjectFull: Corporate power
        Type: general
      – SubjectFull: Research integrity
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: University research
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      – SubjectFull: Computer scientists
        Type: general
      – SubjectFull: Research funding
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      – SubjectFull: Distributed artificial intelligence
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      – TitleFull: Timnit Gebru.
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              Text: Jul/Aug2026
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              Y: 2026
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