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Critical AI

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For information on how to submit an article, visit submission guidelines. See ethics and policies.

Journal

Current Volume: 4

Frequency: 2 issues annually

Critical AI is an interdisciplinary journal based at Rutgers University’s Center for Cultural Analysis and is affiliated with the Rutgers Center for Cognitive Science. Though rooted in critical methods from the humanities, social sciences, and arts, Critical AI works with technologists, scientists, economists, policy makers, health professionals, teachers, community organizers, legislators, lawyers, and entrepreneurs who share the understanding of interdisciplinary research as a powerful tool for building and implementing accountable technology in the public interest. Open to ideas born of new interdisciplinary alliances; design justice principles; antiracist, decolonial, and democratic political practices; community-centered collaborations; experimental pedagogies; and public outreach, Critical AI functions as a space for the production of knowledge, research endeavors, teaching ideas, and public humanities that bears on the ongoing history of machine technologies and their place in the world. Critical AI is legible to scholars across disciplines as well as to interested readers outside the academy. At the broadest level, its mission is to widen circles of scholarship across disciplines and national borders, encourage informed citizens, and activate a democratic culture through which the research, implementation, and evaluation of digital technologies is undertaken in dialogue with scholars, students, citizens, communities, policy makers, and the public at large.

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Editors

Editor in Chief and Cofounder:
Lauren M. E. Goodlad, Rutgers University

Managing Editor:
Camille Gagnier, Binghamton University, State University of New York

Review Editors:
Pamela Gilbert, Auburn University (Cultural Studies, Digital Humanities)
Kaushik Tekur, Colby College (Global and Postcolonial Topics)

Series Editors:
Alexa Alice Joubin, George Washington University (Virtuality, Embodiment, and Meaning-Making in AI Technologies)
Marit J. MacArthur, University of California, Davis (Generative AI and Writing in Higher Ed)
John Modern, Franklin & Marshall College (Generative AI and/as Religion)

Associate Editors:
Atif Akin, Rutgers University (AI and the Arts)
Dwaipayan Banerjee, MIT (Postcolonial Perspectives)
Alan Blackwell, University of Cambridge (Critical Technical Practice)
Emily M. Bender, University of Washington (Computational Linguistics)
Katherine Bode, Australian National University (Digital Humanities and Data Curation)
Meredith Broussard, New York University (Data Journalism)
Kathryn Conrad (Critical Perspectives on AI and Educational Technology)
Sasha Costanza-Chock (Design Justice)
Daniel Estrada (Critical AI Pedagogies)
Ellen P. Goodman, Rutgers University (Technology and Law)
Alexander Guerrero, Rutgers University (Philosophy)
Kate Henne, Australian National University (Public Policy and Governance)
Sabelo Mhlambi, Harvard University (Human Rights and Global Perspectives)
Arvind Narayanan, Princeton University (Privacy, Fairness, and Ethics in Computing)
Christopher Newfield, University of California, Santa Barbara (Political Economy and Numerical Culture)
Safiya Umoja Noble, University of California, Los Angeles (Critical Internet Inquiry)
Kristin O’Brassill-Kulfan, Rutgers University (Public Outreach)
Holly Okonkwo, University of California, San Diego (Critical Gender Studies in Computing)
Baden Pailthorpe, Australian National University (AI and the Arts)
Britt S. Paris, Rutgers University (New Media and Critical Informatics)
Jamie Pietruska, Rutgers University (History of Technology and Knowledge Production)
Deborah Raji, AI Now Institute (AI, Bias, and Algorithmic Justice)
Carolyn Schuster, Australian National University (Anthropology)
Matthew Stone, Rutgers University (Natural Language Processing)
Elisabeth Sylvan, Berkman Klein Center (Design and Education Policy)
Lee Vinsel, Virginia Tech (Science and Technology Studies)
Meredith Whittaker, AI Now Institute (Technology and Labor in Computing)
Ewa Ziarek, University at Buffalo (Gender, Technology, and Democracy)

International Advisory Board:
Ruha Benjamin, Princeton University
Abeba Birhane, Trinity College Dublin
Joy Buolamwini, Algorithmic Justice League
Wendy Hui Kyong Chun, Simon Fraser University
Thomas Davidson, Rutgers University
Noah Giansiracusa, Bentley University
Michele Gilman, University of Baltimore
Mar Hicks, Illinois Institute of Technology
Justin Jocque, University of Michigan
Maximilian Kasy, Oxford University
Tae Wan Kim, Carnegie Mellon University
Lauren F. Klein, Emory University
Elizabeth Losh, William & Mary
Michael P. Lynch, University of Connecticut
Vukosi Marivate, University of Pretoria
Milagros Miceli, Data, Algorithmic Systems, and Ethics (DASE)
Margaret Mitchell, Hugging Face
Cathy O’Neil, O’Neil Risk Consulting & Algorithmic Auditing (ORCAA)
Frank Pasquale, Brooklyn Law School
Rodrigo Ochigame, Leiden University
Rita Raley, University of California, Santa Barbara
Jathan Sadowski, Monash University
Mark Sammons, Senior Research Engineer in Natural Language Processing
Martha Nell Smith, University of Maryland
Sophia Stamatopoulo-Robbins, Bard College
Dennis Tenen, Columbia University
Themistoklis Tzimas, Democritus University of Thrace
Annette Vee, University of Pittsburgh

For Authors

Critical AI is an interdisciplinary journal that welcomes submissions from any discipline so long as they are legible to readers across fields and bodies of research. Specialist terms should be kept to a minimum and, when necessary, defined. Authors should note that the journal is published in a humanities format with a minimum of sectioning (for an example, see "The Photographic Pipeline of Machine Vision; or, Machine Vision's Latent Photographic Theory," by Nicolas Malevé and Katrina Sluis). We suggest that all contributors familiarize themselves with the content of the journal so that they can situate their own essays as part of ongoing conversations in the field of critical AI studies.

To the greatest extent possible, submitted manuscripts should avoid replicating already existing content (such as lengthy descriptions of how a particular technology works) and instead provide a legible sketch in conjunction with a pointer to readers toward suitable publications (in Critical AI or other peer-reviewed venues) for additional details. In practice, “artificial intelligence” refers to a wide range of technologies, past and present, and has been leveraged in the current climate of widespread hype as a marketing term. Contributors should therefore try to discuss the relevant AI technology in reference to specific applications and their contexts. (The term “AI” can be used with quotation marks to denote its meaning in popular parlance.)

Critical AI publishes two issues per year. We welcome shorter manuscripts (such as thinkpieces of between 2,500 and 3,000 words) but will also consider manuscripts of up to 8,000 words. Note that word count includes footnotes but not works cited.

All manuscripts must adhere to The Chicago Manual of Style, 18th ed. (CMS), including in-text parenthetical author-date citations and a works cited page. Manuscripts should be prepared according to the journal’s style guide as anonymized Word documents. All submissions should include an abstract of 150–200 words and 3–5 keywords at the top of the document. All manuscripts should be submitted alongside an author biography (approx. fifty words long) in a separate file.

Authors should submit only original work that properly cites or quotes the work of others. Critical AI will not accept work substantially written by generative AI and Large Language Models (LLMs). Authors must disclose the use of AI or LLMs in their work in a general statement at the beginning of their article (for instance, in an unnumbered note). In addition, each specific use of AI and LLM tools in text, images, tables, or other parts of the work must be cited—just as any external source would be.

Manuscripts can be submitted via ScholarOne at https://mc04.manuscriptcentral.com/dup-cai.

All inquiries about manuscripts should be addressed to our Managing Editor at camille.gagnier@rutgers.edu.

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Additional Information

ISSN: 2834-703X

e-ISSN: 2834-703X