AI Should Challenge, Not Obey
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Let’s transform our robot secretaries into Socratic gadflies.
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Critical thinking has been operationalised in detail in certain specific disciplines, such as academic history, clinical psychology, and nursing.
“As previously noted [116,119], critical thinking has been operationalised in detail in certain specific disciplines, such as academic history, clinical psychology, and nursing.”
From The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers (2025) · cites this paper as [116]
In “Critical Thinking for Knowledge Work” (page not given), the paper says critical thinking is well-defined in history, nursing, and psychology, where it is formally taught. That supports the general point, but the paper does not specify clinical psychology. (LLM, conf=0.86)
Experimental — accuracy not yet measuredRecent work has motivated the need for critical thinking support in AI-assisted knowledge work.
“Recent work has motivated the need for critical thinking support in AI-assisted knowledge work [116,119].”
From The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers (2025) · cites this paper as [116]
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Cites
Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956) · Cited by 9,342 · see citing works
Machines as teammates: A research agenda on AI in team collaboration
Seeber, I., Bittner, E., Briggs, R. O., de Vreede, T., de Vreede, G.-J., Elkins, A., Maier, R., Merz, A. B., Oeste-Reiß, S., Randrup, N., et al. (2020) · Information & Management · doi:10.1016/j.im.2019.103174 · Cited by 835 · see citing works
Concept mapping, mind mapping and argument mapping: what are the differences and do they matter?
Davies, M. (2011) · Higher Education · doi:10.1007/s10734-010-9387-6 · Cited by 804 · see citing works
Too much, too little, or just right? Ways explanations impact end users' mental models
Kulesza, T., Stumpf, S., Burnett, M., Yang, S., Kwan, I., & Wong, W.-K. (2013) · 2013 IEEE Symposium on Visual Languages and Human Centric Computing · doi:10.1109/vlhcc.2013.6645235 · Cited by 388 · see citing works
Critical thinking in nursing education: Literature review
Simpson, E., & Mary Courtney, R. N. (2002) · International Journal of Nursing Practice · doi:10.1046/j.1440-172x.2002.00340.x · Cited by 351 · see citing works
The brain in your pocket: Evidence that Smartphones are used to supplant thinking
Barr, N., Pennycook, G., Stolz, J. A., & Fugelsang, J. A. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.02.029 · Cited by 327 · see citing works
The Metacognitive Demands and Opportunities of Generative AI
Tankelevitch, L., Kewenig, V., Simkute, A., Scott, A. E., Sarkar, A., Sellen, A., & Rintel, S. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642902 · Cited by 280 · cited 1× · see citing works
“Researchers have called for metacognitive support in AI tools [ 13], and to “educate people to be critical information seekers and users” [ 14].”
Self-citationLearner-Centered Design of Computing Education: Research on Computing for Everyone
Guzdial, M. (2015) · Synthesis lectures on human-centered informatics · doi:10.2200/s00684ed1v01y201511hci033 · Cited by 252 · see citing works
Critical thinking in E-learning environments
Saadé, R. G., Morin, D., & Thomas, J. D. E. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.03.025 · Cited by 192 · see citing works
How to design programs: an introduction to programming and computing
Felleisen, M., Findler, R. B., Flatt, M., & Krishnamurthi, S. (2001) · doi:10.14507/er.v0.173 · Cited by 189 · see citing works
Challenges and Prospects for Canadian Social Studies
Tupper, J. (2010) · Journal of international social studies · Cited by 142 · see citing works
Elaborating Team Roles for Artificial Intelligence-based Teammates in Human-AI Collaboration
Siemon, D. (2022) · Group Decision and Negotiation · doi:10.1007/s10726-022-09792-z · Cited by 136 · see citing works
Friend, Collaborator, Student, Manager
Guzdial, M., Liao, N., Chen, J., Chen, S.-Y., Shah, S., Shah, V., Reno, J. O., Smith, G., & Riedl, M. O. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300854 · Cited by 134 · see citing works
AI in Reverse: Computer Tools That Turn Cognitive
Salomon, G. (1988) · Journal of Educational Computing Research · doi:10.2190/4lu7-vw23-egb1-aw5g · Cited by 130 · see citing works
Danry, V., Pataranutaporn, P., Mao, Y., & Maes, P. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580672 · Cited by 110 · see citing works
Who/What Is My Teammate? Team Composition Considerations in Human–AI Teaming
McNeese, N. J., Schelble, B. G., Canonico, L. B., & Demir, M. (2021) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2021.3086018 · Cited by 106 · see citing works
Kivunja, C. (2015) · Creative Education · doi:10.4236/ce.2015.63037 · Cited by 104 · see citing works
Pan, L., Saxon, M., Xu, W., Nathani, D., Wang, X., & Wang, W. Y. (2024) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00660 · Cited by 86 · see citing works
Critical Thinking in Psychology
(2019) · Cambridge University Press eBooks · doi:10.1017/9781108684354 · Cited by 82 · see citing works
Teaching Argument: An Introduction to the Toulmin Model
Kneupper, C. W. (1978) · College Composition and Communication · doi:10.2307/356935 · Cited by 77 · see citing works
Dehallucinating Large Language Models Using Formal Methods Guided Iterative Prompting
Jha, S., Jha, S. K., Lincoln, P. D., Bastian, N. D., Velasquez, A., & Neema, S. K. (2023) · IEEE International Conference on Assured Autonomy (ICAA) · doi:10.1109/icaa58325.2023.00029 · Cited by 73 · see citing works
Sarkar, A. (2023) · Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work · doi:10.1145/3596671.3597650 · Cited by 50 · see citing works
Self-citationEnough With “Human-AI Collaboration”
Sarkar, A. (2023) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3544549.3582735 · Cited by 47 · see citing works
Self-citationFostering Youth’s Critical Thinking Competency About AI through Exhibition
Lee, S., Choi, D., Lee, M., Choi, J., & Lee, S. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581159 · Cited by 42 · see citing works
Extending a Human-AI Collaboration Framework with Dynamism and Sociality
Muller, M., & Weisz, J. (2022) · 2022 Symposium on Human-Computer Interaction for Work · doi:10.1145/3533406.3533407 · Cited by 37 · see citing works
Iverson, K. E. (2007) · ACM eBooks · doi:10.1145/1283920.1283935 · Cited by 30 · see citing works
Mochizuki, T., Nishimori, T., Tsubakimoto, M., Oura, H., Sato, T., Johansson, H., Nakahara, J., & Yamauchi, Y. (2019) · Educational Technology Research and Development · doi:10.1007/s11423-019-09676-1 · Cited by 22 · see citing works
Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design
Sarkar, A. (2023) · Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544549.3582741 · Cited by 19 · see citing works
Self-citationTeaching Argument: An Introduction to the Toulmin Model
Kneupper, C. W. (1978) · College Composition and Communication · doi:10.58680/ccc197816301 · Cited by 11 · see citing works
Critical Thinking in Collaboration
Sun, N., Yuan, C. W., Rosson, M. B., Wu, Y., & Carroll, J. M. (2017) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3027063.3053250 · Cited by 6 · see citing works
Towards Mobile Blended Interaction Fostering Critical Thinking
Holzer, A., Govaerts, S., Bendahan, S., & Gillet, D. (2015) · International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI Adjunct) · doi:10.1145/2786567.2793695 · Cited by 4 · see citing works
Conversational Agent as a Black Hat: Can Criticising Improve Idea Generation?
Cvetković, I., Rosenberg, V., & Bittner, E. A. C. (2023) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2023.023 · Cited by 4 · see citing works
Flagged first, then by citations
Research works printed but not linked: 9
- Ian Drosos, Advait Sarkar, Xiaotong Xu, Carina Negreanu, Sean Rintel, and Lev Tankelevitch. "It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study. In Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work, CHIWORK '24, New York, NY, USA, 2024. Association for Computing Machinery.
- Chris Argyris. Double loop learning in organizations. Harvard business review, 55(5):115-125, 1977.
- Allen Cypher, Daniel C. Halbert, David Kurlander, Henry Lieberman, David Maulsby, Brad A. Myers, and Alan Turransky, editors. Watch what I do: programming by demonstration. MIT Press, Cambridge, MA, USA, 1993.
- Henry Lieberman, editor. Your Wish is My Command. Interactive Technologies. Morgan Kaufmann, San Francisco, 2001.
- Jiahao Yu, Xingwei Lin, and Xinyu Xing. Gptfuzzer: Red teaming large language models with auto- generated jailbreak prompts. arXiv preprint arXiv:2309.10253, 2023. · arXiv
- Andrew D. Gordon, Carina Negreanu, José Cambronero, Rasika Chakravarthy, Ian Drosos, Hao Fang, Bhaskar Mitra, Hannah Richardson, Advait Sarkar, Stephanie Simmons, Jack Williams, and Ben Zorn. Co-audit: tools to help humans double-check AI-generated content. Proceedings of the 14th annual workshop on the intersection of HCI and PL (PLATEAU 2024), 5 2024.
- Jacob Menick, Maja Trebacz, Vladimir Mikulik, John Aslanides, Francis Song, Martin Chadwick, Mia Glaese, Susannah Young, Lucy Campbell-Gillingham, Geoffrey Irving, et al. Teaching language models to support answers with verified quotes. arXiv preprint arXiv:2203.11147, 2022. · arXiv
- Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, and Mengnan Du. Explainability for large language models: A survey. arXiv preprint arXiv:2309.01029, 2023. · arXiv
- Advait Sarkar, Xiaotong (Tone) Xu, Neil Toronto, Ian Drosos, and Christian Poelitz. When Copilot Becomes Autopilot: Generative AI's Critical Risk to Knowledge Work and a Critical Solution. In Proceedings of the Annual Conference of the European Spreadsheet Risks Interest Group (EuSpRIG 2024), 2024.
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Self-citationNatali, C., Marconi, L., Dias Duran, L. D., & Cabitza, F. (2025) · Artificial Intelligence Review · doi:10.1007/s10462-025-11352-1 · Cited by 143 · see citing works
Kazemitabaar, M., Huang, O., Suh, S., Henley, A. Z., & Grossman, T. (2025) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3708359.3712104 · Cited by 48 · see citing works
Tankelevitch, L., Glassman, E. L., He, J., Kazemitabaar, M., Kittur, A., Lee, M., Palani, S., Sarkar, A., Ramos, G., Rogers, Y., et al. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3706745 · Cited by 24 · see citing works
Self-citationXu, X. (., Konnova, A., Gao, B., Peng, C., Vo, D., & Dow, S. P. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713649 · Cited by 20 · see citing works
Lee, S., Hwang, S., Kim, D.-J., & Lee, K. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3719792 · Cited by 19 · see citing works
Park, S. O., Kim, H., & Lim, Y.-K. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713722 · Cited by 18 · see citing works
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Sarkar, A. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3716239 · Cited by 12 · see citing works
Self-citationWolf, S., Grundgeiger, T., Zähringer, R., Shishkova, L., Maas, F., Dilling, C., & Happel, O. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713372 · Cited by 10 · see citing works
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Drosos, I., Williams, J., Sarkar, A., Wilson, N., Rintel, S., & Panda, P. (2025) · Annual Symposium on Human-Computer Interaction for Work (CHIWORK) · doi:10.1145/3729176.3729203 · Cited by 10 · see citing works
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Kumar, A., Bajpai, Y., Gulwani, S., Soares, G., & Murphy-Hill, E. R. (2025) · IEEE/ACM International Conference on Automated Software Engineering (ASE) · doi:10.1109/ase63991.2025.00043 · Cited by 8 · see citing works
Prasongpongchai, T., Pataranutaporn, P., Lertsutthiwong, M., & Maes, P. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3715579 · Cited by 7 · see citing works
Scott, A. E., Tankelevitch, L., Panda, P., Vanukuru, R., Chen, X., & Rintel, S. (2025) · Annual Symposium on Human-Computer Interaction for Work (CHIWORK) · doi:10.1145/3729176.3729204 · Cited by 7 · see citing works
Mastrianni, A., Kim, M. S., Sullivan, T. M., Sippel, G. J., Burd, R. S., Gajos, K. Z., & Sarcevic, A. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757512 · Cited by 6 · see citing works
Passi, S., Dhanorkar, S., & Vorvoreanu, M. (2025) · Springer eBooks · doi:10.1007/978-981-95-3658-0_98 · Cited by 6 · see citing works
Huang, E. J., Easterday, M. W., & Gerber, E. M. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757549 · Cited by 6 · see citing works
Yun, S., & Lim, Y.-K. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713265 · Cited by 5 · see citing works
Aoyagui, P. A., Stemmler, K., Ferguson, S. A., Kim, Y., & Kuzminykh, A. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713248 · Cited by 4 · see citing works
Ghosh, P., & Rintel, S. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3720142 · Cited by 4 · see citing works
Nishal, S., Lee, M., Diakopoulos, N. A., & Vaughan, J. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790372 · Cited by 3 · see citing works
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Chou, Y.-H., Jiang, B., Chen, Y. W., Weng, M., Jackson, V., Zimmermann, T., & Jones, J. A. (2026) · Proceedings of the ACM on software engineering. · doi:10.1145/3797105 · Cited by 3 · see citing works
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Fischer, S. W. S. (2025) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3708557.3716151 · Cited by 1 · see citing works
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Jönsson, M., Tholander, J., Rost, M., Sarkar, A., Fernaeus, Y., Kharrufa, A., & Ludwig, T. G. (2025) · Decennial Aarhus Conference · doi:10.1145/3737609.3747093 · Cited by 1 · see citing works
Self-citationEyes on the Code: Mapping Critical Thinking Through Eye-Tracking for Student-LLM Coding Interactions
Sqalli, M. T. (2025) · Biannual Conference of the Italian SIGCHI Chapter (CHItaly) · doi:10.1145/3750069.3750397 · Cited by 1 · see citing works
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Rogers, Y., Reicherts, L., Zhang, Z. T., & Hassib, M. (2026) · Springer eBooks · doi:10.1007/978-3-031-61050-9_10-1 · Cited by 1 · see citing works
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Zhang, X., Subramonyam, H., Sarkar, A., Drosos, I., Wang, Z., Lee, K., Pimenova, V., Chen, X. '., & Lukoff, K. (2026) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3772363.3778802 · Cited by 1 · see citing works
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Chappidi, S., Singh, J. P., & Krauze, A. V. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791428 · Cited by 2 · see citing works
Jenkins, A. D. G., Bagchi, P., Curtis, H., Seymour, W., Coté, M., & Such, J. M. (2026) · Designing Interactive Systems Conference · doi:10.1145/3800645.3812975 · Cited by 1 · see citing works
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Alam, A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7036-1.ch010 · Cited by 1 · see citing works
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Przybyszewski, J., Li, J., & Cuffe, P. (2025) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2025.3617543 · Cited by 1 · see citing works
Adamu, M. S., Lazem, S., Nkwo, M. S., & Peters, A. N. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5347484
Rubinstein, B., & Matos, S. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-05176-9_24
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Gardella, N., Prather, J. E., Leinonen, J., Denny, P. C., Pettit, R., & Riggs, S. L. (2026) · ACM Conference on International Computing Education Research (ICER) · doi:10.1145/3765964.3811664
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- Authors
- Sarkar, A.
- Affiliations
- University of Cambridge (GB)
- Corresponding author
- Sarkar, Advait
- ORCID
- Sarkar, Advait
- Venue
- Communications of the ACM
- Published
- 2024-09-26
- Volume
- 67
- Issue
- 10
- Pages
- 18-21
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W4402596704
- Cited by
- 40
- References
- 31
- Citations by year
- 2026: 15 · 2025: 25
- FWCI
- 16.65
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Communications of the ACM (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- artificial intelligence, Socratic method, critical thinking, AI ethics, human-AI interaction
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