mlsanityData to 14 Oct 2026

How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries

arXiv 2310.06778 ↗First posted 10 Oct 2023cs.CYcited by 30

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Abstract (arXiv)

Generative AI is expected to have transformative effects in multiple knowledge industries. To better understand how knowledge workers expect generative AI may affect their industries in the future, we conducted participatory research workshops for seven different industries, with a total of 54 participants across three US cities. We describe participants' expectations of generative AI's impact, including a dominant narrative that cut across the groups' discourse: participants largely envision generative AI as a tool to perform menial work, under human review. Participants do not generally anticipate the disruptive changes to knowledge industries currently projected in common media and academic narratives. Participants do however envision generative AI may amplify four social forces currently shaping their industries: deskilling, dehumanization, disconnection, and disinformation. We describe these forces, and then we provide additional detail regarding attitudes in specific knowledge industries. We conclude with a discussion of implications and research challenges for the HCI community.

Key facts. Cited by 30 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Oct 2023.

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Citing papers per year: 2024: 5; 2025: 12; 2026: 13.

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  1. 2024Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skillscited by 14
  2. 2025Generative AI in Knowledge Work: Design Implications for Data Navigation and Decision-Makingcited by 9
  3. 2024A Survey on Human-AI Collaboration with Large Foundation Modelscited by 7
  4. 2024CHATATC: Large Language Model-Driven Conversational Agents for Supporting Strategic Air Traffic Flow Managementcited by 5
  5. 2025Generative AI Uses and Risks for Knowledge Workers in a Science Organizationcited by 5
  6. 2024Survey of User Interface Design and Interaction Techniques in Generative AI Applicationscited by 4
  7. 2025Unraveling Human-AI Teaming: A Review and Outlookcited by 4
  8. 2025Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Conceptscited by 4
  9. 2024AI-Enhanced Sensemaking: Exploring the Design of a Generative AI-Based Assistant to Support Genetic Professionalscited by 3
  10. 2025Novice Developers' Perspectives on Adopting LLMs for Software Development: A Systematic Literature Reviewcited by 3
  11. 2025AI Rivalry as a Craft: How Resisting and Embracing Generative AI Reshape Writing Professionscited by 3
  12. 2025Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Workcited by 3
18 more
  1. 2026"If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplacecited by 2
  2. 2026What if AI systems weren't chatbots?cited by 2
  3. 2026What happens when reviewers receive AI feedback in their reviews?cited by 1
  4. 2026AI-Mediated Feedback Improves Student Revisions: A Randomized Trial with FeedbackWriter in a Large Undergraduate Coursecited by 1
  5. 2025Do Multimodal Large Language Models Understand Welding?cited by 0
  6. 2025AI in Money Matterscited by 0
  7. 2025"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectivescited by 0
  8. 2025Deciding how to respond: A deliberative framework to guide policymaker responses to AI systemscited by 0
  9. 2025How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscapecited by 0
  10. 2026"Better Ask for Forgiveness than Permission": Practices and Policies of AI Disclosure in Freelance Workcited by 0
  11. 2026AI Phenomenology for Understanding Human-AI Experiences Across Erascited by 0
  12. 2026"I Just Need GPT to Refine My Prompts": Rethinking Onboarding and Help-Seeking with Generative 3D Modeling Toolscited by 0
  13. 2026Upskilling with Generative AI: Practices and Challenges for Freelance Knowledge Workerscited by 0
  14. 2026From Tool to Agent: How Worker Needs Reorganize Across the Agentic Roles of Workplace AIcited by 0
  15. 2026AI Adoption Across a Multinational Workforce: Sociotechnical Conditions for GenAI Acceptance in Human Resourcescited by 0
  16. 2026Unanticipated Effects of Generative AI on Expertise Pathways and Performance Perception in System Administrationcited by 0
  17. 2026Method, Mind, and Morality: How People Make Sense of Artificial Intelligencecited by 0
  18. 2026CompanionSim: Synthetic Data for Evaluating Anthropomorphism in Human-AI Relationshipscited by 0