Cited by 40Ethics and Social Impacts of AIArtificial Intelligence ApplicationsAI in Service Interactions

AI Should Challenge, Not Obey

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Sarkar, Advait·2024·Communications of the ACM

Abstract

Let’s transform our robot secretaries into Socratic gadflies.

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Cites

Flagged first, then by citations

Research works printed but not linked: 9

  1. 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.
  2. Chris Argyris. Double loop learning in organizations. Harvard business review, 55(5):115-125, 1977.
  3. 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.
  4. Henry Lieberman, editor. Your Wish is My Command. Interactive Technologies. Morgan Kaufmann, San Francisco, 2001.
  5. 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
  6. 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.
  7. 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
  8. 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
  9. 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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Authors
Sarkar, A.
Affiliations
University of Cambridge (GB)
Corresponding author
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
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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