The need to move away from agential-AI: Empirical investigations, useful concepts and open issues
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Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Simonyan, K., Vedaldi, A., & Zisserman, A. (2013) · arXiv · doi:10.48550/arxiv.1312.6034 · Cited by 5,370 · see citing works
Explanation in artificial intelligence: Insights from the social sciences
Miller, T. (2019) · Artificial Intelligence · doi:10.1016/j.artint.2018.07.007 · Cited by 5,302 · see citing works
The Concept of “Ba”: Building a Foundation for Knowledge Creation
Nonaka, I., & Konno, N. (1998) · California Management Review · doi:10.2307/41165942 · Cited by 4,560 · see citing works
Causability and explainability of artificial intelligence in medicine
Holzinger, A., Langs, G., Denk, H., Zatloukal, K., & Müller, H. (2019) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1312 · Cited by 1,885 · see citing works
Shin, D. (2021) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2020.102551 · Cited by 1,548 · see citing works
Do no harm: a roadmap for responsible machine learning for health care
Wiens, J., Saria, S., Sendak, M., Ghassemi, M., Liu, V. X., Doshi-Velez, F., Jung, K., Heller, K., Kale, D., Saeed, M., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0548-6 · Cited by 1,266 · see citing works
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
(2021) · doi:10.1145/3411764 · Cited by 1,240 · see citing works
Automation bias: a systematic review of frequency, effect mediators, and mitigators
Goddard, K., Roudsari, A., & Wyatt, J. C. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000089 · Cited by 1,162 · see citing works
What can machine learning do? Workforce implications
Brynjolfsson, E., & Mitchell, T. (2017) · Science · doi:10.1126/science.aap8062 · Cited by 1,131 · see citing works
In AI we trust? Perceptions about automated decision-making by artificial intelligence
Araujo, T., Helberger, N., Kruikemeier, S., & de Vreese, C. H. (2020) · AI & SOCIETY · doi:10.1007/s00146-019-00931-w · Cited by 1,038 · see citing works
Interactive machine learning for health informatics: when do we need the human-in-the-loop?
Holzinger, A. (2016) · Brain Informatics · doi:10.1007/s40708-016-0042-6 · Cited by 906 · see citing works
A systematic review of algorithm aversion in augmented decision making
Burton, J. W., Stein, M., & Jensen, T. B. (2020) · Journal of Behavioral Decision Making · doi:10.1002/bdm.2155 · Cited by 814 · see citing works
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
Bansal, G., Wu, T., Zhou, J., Fok, R., Nushi, B., Kamar, E., Ribeiro, M. T., & Weld, D. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445717 · Cited by 757 · see citing works
The seven tools of causal inference, with reflections on machine learning
Pearl, J. (2019) · Communications of the ACM · doi:10.1145/3241036 · Cited by 659 · see citing works
Unconscious influences on decision making: A critical review
Newell, B. R., & Shanks, D. R. (2014) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12003214 · Cited by 652 · see citing works
On the ethics of algorithmic decision-making in healthcare
Grote, T., & Berens, P. (2020) · Journal of Medical Ethics · doi:10.1136/medethics-2019-105586 · Cited by 551 · see citing works
Co-Design as a Process of Joint Inquiry and Imagination
Steen, M. (2013) · Design Issues · doi:10.1162/desi_a_00207 · Cited by 526 · see citing works
Second opinion needed: Communicating uncertainty in medical machine learning
Kompa, B., Snoek, J., & Beam, A. L. (2021) · npj Digital Medicine · doi:10.1038/s41746-020-00367-3 · Cited by 514 · see citing works
Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency
Mireille Hildebrandt, C. C., & del Castillo, C. C. (2020) · doi:10.1145/3351095 · Cited by 486 · see citing works
Agreement and Information in the Reliability of Coding
Krippendorff, K. (2011) · Communication Methods and Measures · doi:10.1080/19312458.2011.568376 · Cited by 451 · see citing works
Clinical applications of machine learning algorithms: beyond the black box
Watson, D. S., Krutzinna, J., Bruce, I. N., Griffiths, C. E., McInnes, I. B., Barnes, M. R., & Floridi, L. (2019) · BMJ · doi:10.1136/bmj.l886 · Cited by 450 · see citing works
The ethics of algorithms: key problems and solutions
Tsamados, A., Aggarwal, N., Cowls, J., Morley, J., Roberts, H., Taddeo, M., & Floridi, L. (2022) · AI & SOCIETY · doi:10.1007/s00146-021-01154-8 · Cited by 384 · see citing works
Lippi, M., & Torroni, P. (2016) · ACM Transactions on Internet Technology · doi:10.1145/2850417 · Cited by 379 · see citing works
Holzinger, A., Malle, B., Saranti, A., & Pfeifer, B. (2021) · Information Fusion · doi:10.1016/j.inffus.2021.01.008 · Cited by 352 · see citing works
Teaming With a Synthetic Teammate: Insights into Human-Autonomy Teaming
McNeese, N. J., Demir, M., Cooke, N. J., & Myers, C. W. (2017) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720817743223 · Cited by 348 · see citing works
Analyzing due process in the workplace
Gerson, E. M., & Star, S. L. (1986) · ACM Transactions on Information Systems · doi:10.1145/214427.214431 · Cited by 336 · see citing works
Analyzing due process in the workplace
Gerson, E. M., & Star, S. L. (1986) · doi:10.1145/15433.15856 · Cited by 333 · see citing works
Dix, A. (2007) · Electronic Workshops in Computing · doi:10.14236/ewic/hci2007.53 · Cited by 304 · see citing works
Bahner, J. E., Hüper, A.-D., & Manzey, D. (2008) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2008.06.001 · Cited by 279 · see citing works
Nurses’ workarounds in acute healthcare settings: a scoping review
Debono, D. S., Greenfield, D., Travaglia, J., Long, J. C., Black, D. A., Johnson, J. K., & Braithwaite, J. (2013) · BMC Health Services Research · doi:10.1186/1472-6963-13-175 · Cited by 250 · see citing works
Interactive machine learning: experimental evidence for the human in the algorithmic loop
Holzinger, A., Plass, M., Kickmeier-Rust, M., Holzinger, K., Crişan, G. C., Pintea, C.-M., & Palade, V. (2018) · Applied Intelligence · doi:10.1007/s10489-018-1361-5 · Cited by 231 · see citing works
Sharing Knowledge and Expertise: The CSCW View of Knowledge Management
Ackerman, M. S., Dachtera, J., Pipek, V., & Wulf, V. (2013) · Computer Supported Cooperative Work (CSCW) · doi:10.1007/s10606-013-9192-8 · Cited by 229 · see citing works
Shin, D. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106344 · Cited by 203 · see citing works
Drobac, P. C., Basinga, P., Condo, J. U., Farmer, P. E., Finnegan, K. E., Hamon, J. K., Amoroso, C. L., Hirschhorn, L. R., Kakoma, J. B., Lu, C., et al. (2013) · BMC Health Services Research · doi:10.1186/1472-6963-13-s2-s5 · Cited by 185 · see citing works
Shin, D. (2021) · Journal of Information Science · doi:10.1177/0165551520985495 · Cited by 174 · see citing works
Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications
Balasubramanian, V. N., Ho, S.-S., & Vovk, V. (2014) · Cited by 155 · see citing works
Robinson, M., & Bannon, L. J. (1991) · Springer eBooks · doi:10.1007/978-94-011-3506-1_17 · Cited by 147 · see citing works
Abràmoff, M. D., Tobey, D., & Char, D. S. (2020) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2020.02.022 · Cited by 140 · see citing works
Kliegr, T., Bahník, Š., & Fürnkranz, J. (2021) · Artificial Intelligence · doi:10.1016/j.artint.2021.103458 · Cited by 139 · see citing works
Social Thinking—Software Practice
(2002) · The MIT Press eBooks · doi:10.7551/mitpress/6308.001.0001 · Cited by 135 · see citing works
Bond, R. R., Novotny, T., Andrsova, I., Koc, L., Sisakova, M., Finlay, D., Guldenring, D., McLaughlin, J., Peace, A., McGilligan, V., et al. (2018) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2018.08.007 · Cited by 127 · see citing works
Yokoi, R., Eguchi, Y., Fujita, T., & Nakayachi, K. (2021) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2020.1861763 · Cited by 122 · see citing works
The Ethics of Algorithms: Key Problems and Solutions
Tsamados, A., Aggarwal, N., Cowls, J., Morley, J., Roberts, H., Taddeo, M., & Floridi, L. (2021) · Philosophical Studies Series · doi:10.1007/978-3-030-81907-1_8 · Cited by 121 · see citing works
Riding a Tiger, or Computer-Supported Cooperative Work (1991)
Schmidt, K. (2008) · Computer supported cooperative work · doi:10.1007/978-1-84800-068-1_2 · Cited by 119 · see citing works
Ethnographic Praxis in Industry Conference Proceedings
(2009) · Ethnographic Praxis in Industry Conference Proceedings · doi:10.1111/(issn)1559-8918 · Cited by 81 · see citing works
How Human–Computer “Superminds” Are Redefining the Future of Work
Malone, T. W. (2019) · Why Humans Matter More Than Ever · doi:10.7551/mitpress/12450.003.0010 · Cited by 81 · see citing works
Systematic biases in group decision-making: implications for patient safety
Mannion, R., & Thompson, C. (2014) · International Journal for Quality in Health Care · doi:10.1093/intqhc/mzu083 · Cited by 79 · see citing works
Communication and organizational knowledge: Contemporary issues for theory and practice
Liberman, C. J. (2010) · Journal of Communication · doi:10.1111/j.1460-2466.2010.01517.x · Cited by 68 · see citing works
Evaluating the Promise of Human-Algorithm Collaborations in Everyday Work Practices
Wolf, C., & Blomberg, J. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359245 · Cited by 48 · see citing works
Holton, R., & Boyd, R. (2019) · Journal of Sociology · doi:10.1177/1440783319873046 · Cited by 47 · see citing works
Cabitza, F., Colombo, G., & Simone, C. (2012) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2012.02.005 · Cited by 45 · see citing works
Self-citationAffording Mechanisms: An Integrated View of Coordination and Knowledge Management
Cabitza, F., & Simone, C. (2011) · Computer Supported Cooperative Work (CSCW) · doi:10.1007/s10606-011-9153-z · Cited by 43 · see citing works
Self-citationBefore Memex: Robert Hooke, John Locke, and Vannevar Bush on External Memory
Yeo, R. R. (2007) · Science in Context · doi:10.1017/s0269889706001128 · Cited by 40 · see citing works
Argumentation Theory for Decision Support in Health-Care: A Comparison with Machine Learning
Longo, L., & Hederman, L. (2013) · Lecture notes in computer science · doi:10.1007/978-3-319-02753-1_17 · Cited by 29 · see citing works
Proceedings of the Second European Conference on Computer-Supported Cooperative Work ECSCW ’91
Bannon, L., Robinson, M., & Schmidt, K. (1991) · Springer eBooks · doi:10.1007/978-94-011-3506-1 · Cited by 27 · see citing works
Biases Affecting Human Decision Making in AI-Supported Second Opinion Settings
Cabitza, F. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-26773-5_25 · Cited by 26 · see citing works
Self-citationWhen Knowledge Network is Social Network
Yang, C.-L., Yuan, C. W., & Wang, H. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359266 · Cited by 25 · see citing works
Organizing for the Digital World
Poponi, S., Mosconi, E., Ruggieri, A., et al. (2018) · Lecture notes in information systems and organisation · doi:10.1007/978-3-319-90503-7 · Cited by 23 · see citing works
Towards Analogy-Based Explanations in Machine Learning
Hüllermeier, E. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-57524-3_17 · Cited by 19 · see citing works
Critical Reflections on Participation in Design
Wagner, I. (2018) · Oxford University Press eBooks · doi:10.1093/oso/9780198733249.003.0008 · Cited by 17 · see citing works
“Made with Knowledge” - Disentangling the IT Knowledge Artifact by a Qualitative Literature Review
Cabitza, F., & Locoro, A. (2014) · International Conference on Knowledge Management and Information Sharing (KMIS) · doi:10.5220/0005086100640075 · Cited by 13 · see citing works
Self-citationAssembling Fragments into Continuous Design: On Participatory Design with Old People
Joshi, S. G., & Bratteteig, T. (2015) · Lecture notes in business information processing · doi:10.1007/978-3-319-21783-3_2 · Cited by 12 · see citing works
Cabitza, F., Cerroni, A., Locoro, A., et al. (2014) · International Conference on Knowledge Management and Information Sharing (KMIS) · doi:10.5220/0005154803670374 · Cited by 12 · see citing works
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Cabitza, F., Campagner, A., & Datteri, E. (2021) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-87842-9_4 · Cited by 12 · see citing works
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Westberg, M., Zelvelder, A. E., & Najjar, A. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-30391-4_12 · Cited by 11 · see citing works
New Approach in Human-AI Interaction by Reinforcement-Imitation Learning
Navidi, N., & Landry, R. J. (2021) · Applied Sciences · doi:10.3390/app11073068 · Cited by 10 · see citing works
Barmer, H., Dzombak, R., Gaston, M., et al. (2021) · Figshare · doi:10.1184/r1/16560183 · Cited by 9 · see citing works
Programmed Inefficiencies in DSS-Supported Human Decision Making
Cabitza, F., Campagner, A., Ciucci, D., & Seveso, A. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-26773-5_18 · Cited by 8 · see citing works
Self-citation"Yes—What Does That Mean?" Understanding Distributed Requirements Handling
Rönkkö, K. (2002) · The MIT Press eBooks · doi:10.7551/mitpress/6308.003.0015 · Cited by 7 · see citing works
Randall, D. (2018) · Oxford University Press eBooks · doi:10.1093/oso/9780198733249.003.0007 · Cited by 7 · see citing works
On Automated Defeasible Reasoning with Controlled Natural Language and Argumentation.
Straß, H., & Wyner, A. (2017) · National Conference on Artificial Intelligence · Cited by 6 · see citing works
Acting on Analytics: Accuracy, Precision, Interpretation, and Performativity
Blomberg, J., Megahed, A., & Strong, R. (2018) · Ethnographic Praxis in Industry Conference Proceedings · doi:10.1111/1559-8918.2018.01208 · Cited by 6 · see citing works
Liu, K., & Filipe, J. (2010) · SciTePress eBooks · Cited by 5 · see citing works
Ambitions and Ambivalences in Participatory Design: Lessons from a Smart Workplace Project
Wolf, C. T., & Blomberg, J. (2020) · Participatory Design Conference · doi:10.1145/3385010.3385029 · Cited by 5 · see citing works
Transactive Memory and Organizational Knowledge
Palazzolo, E. T. (2010) · Routledge eBooks · doi:10.4324/9780203874509-14 · Cited by 4 · see citing works
Drift of a Corporate Social Media: The Design and Outcomes of a Longitudinal Study
Simone, C., Locoro, A., & Cabitza, F. (2018) · Lecture notes in information systems and organisation · doi:10.1007/978-3-319-90503-7_15 · Cited by 2 · see citing works
Self-citationTowards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective LearningPreprint
Sen, P., & Ganguly, D. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2005.06618 · Cited by 2 · see citing works
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Capel, T., & Brereton, M. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580959 · Cited by 228 · see citing works
Bandi, A., Kongari, B., Naguru, R., Pasnoor, S., & Vilipala, S. V. (2025) · Future Internet · doi:10.3390/fi17090404 · Cited by 207 · see citing works
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Self-citation
- Authors
- Cabitza, F., Campagner, A., & Simone, C.
- Affiliations
- University of Milano-Bicocca (IT)
- University of Siegen (DE)
- Corresponding author
- Campagner, Andrea
- Venue
- International Journal of Human-Computer Studies
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 155
- Pages
- 102696
- ISSN
- 1071-5819 (ISSN-L)
- OpenAlex
- W3190833972
- Semantic Scholar
- 36a77076d8b79a908d9fcee25d16351bae94ea5f
- Cited by
- 55
- References
- 78
- Citations by year
- 2026: 13 · 2025: 17 · 2024: 12 · 2023: 10 · 2022: 3
- FWCI
- 8.66
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- International Journal of Human-Computer Studies (publishedVersion)
- BOA (University of Milano-Bicocca) (submittedVersion, other-oa)
- Topics
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- human-AI interaction, knowledge artifacts, computer-supported cooperative work, group decision making, explainable AI, automation bias, deskilling, team decision-making
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