The DOI matches its Crossref record; 53 of the 55 references it cites were found in a registry or an index.
Social Integration of Artificial Intelligence: Functions, Automation Allocation Logic and Human-Autonomy Trust
Open accessAbstract
Artificial intelligence (AI) is finding more uses in the human society resulting in a need to scrutinise the relationship between humans and AI. Technology itself has advanced from the mere encoding of human knowledge into a machine to designing machines that “know how” to autonomously acquire the knowledge they need, learn from it and act independently in the environment. Fortunately, this need is not new; it has scientific grounds that could be traced back to the inception of computers. This paper uses a multi-disciplinary lens to explore how the natural cognitive intelligence in a human could interface with the artificial cognitive intelligence of a machine. The scientific journey over the last 50 years will be examined to understand the Human-AI relationship, and to present the nature of, and the role of trust in, this relationship. Risks and opportunities sitting at the human-AI interface will be studied to reveal some of the fundamental technical challenges for a trustworthy human-AI relationship. The critical assessment of the literature leads to the conclusion that any social integration of AI into the human social system would necessitate a form of a relationship on one level or another in society, meaning that humans will “always” actively participate in certain decision-making loops—either in-the-loop or on-the-loop—that will influence the operations of AI, regardless of how sophisticated it is.
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“we can conclude that measurement invariance is impaired. While the use of algorithmic classifiers systematically associates linguistic predictability and artificial authorship, the association introduces CIV [43] is not relevant to CRC.”
From The impact of generative artificial intelligence tools on assessment equity for non-native English-speaking medical students: a systematic review (2026) · cites this paper as [43]
Citations
Cites
An integrative model of organizational trust
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995) · The Academy of Management Review · doi:10.2307/258792 · Cited by 10,736
I.—COMPUTING MACHINERY AND INTELLIGENCE
TURING, A. M. (1950) · Mind · doi:10.1093/mind/lix.236.433 · Cited by 10,290
Trust in Automation: Designing for Appropriate Reliance
Lee, J. D., & See, K. A. (2004) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/hfes.46.1.50_30392 · Cited by 6,605 · cited 2×
“[48, p. 712] Lee and See “the attitude that an agent will help achieve an individual’s goals in a situation characterised by uncertainty and vulnerability.””
BackgroundComputing Machinery and Intelligence (1950)
Turing, A. M. (2004) · doi:10.1093/oso/9780198250791.003.0017 · Cited by 6,120
Über das Elektrenkephalogramm des Menschen
Berger, H. (1929) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/bf01797193 · Cited by 4,266
(1979) · Medical Entomology and Zoology · Cited by 3,065
Telerobotics, Automation, and Human Supervisory Control
Sheridan, T. B. (1992) · Medical Entomology and Zoology · Cited by 1,949
Licklider, J. C. R. (1960) · IRE Transactions on Human Factors in Electronics · doi:10.1109/thfe2.1960.4503259 · Cited by 1,938
THE BERGER RHYTHM: POTENTIAL CHANGES FROM THE OCCIPITAL LOBES IN MAN
ADRIAN, E. D., & MATTHEWS, B. H. C. (1934) · Brain · doi:10.1093/brain/57.4.355 · Cited by 1,396
Toward Direct Brain-Computer Communication
Vidal, J. J. (1973) · Annual Review of Biophysics and Bioengineering · doi:10.1146/annurev.bb.02.060173.001105 · Cited by 1,311
Research works printed but not linked: 2
- Dragoni N, Giallorenzo S, Lafuente AL, Mazzara M, Montesi F, Mustafin R, Safina L. Microservices: yesterday, today, and tomorrow. Present and Ulterior Software Engineering. Springer; 2017. p. 195–216. · DOI
- Endsley MR. Automation and situation awareness. Automation and human performance. Routledge; 2018. p. 183–202.
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Liu, C., & Xu, W. (2026) · Springer eBooks · doi:10.1007/978-981-95-3658-0_58
Demirel, H. G. (2026) · Istanbul Management Journal · doi:10.26650/imj.2026.1799602
Etchezahar, E. D., Yepes, T. G., Ungaretti, J., & González, G. D. P. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2676766
Elahi, H., Aniculăesei, A., Shahzad, R. K., & Lavesson, N. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7019923
He, W. P., & Fussell, S. R. (2026) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3816046.3816235 · Cited by 1
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Zhang, W., Zhao, Y., Li, P., Zhao, Y., & Kang, Y. (2026) · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · doi:10.1177/09544070261467423
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Gill, A. A., Janjua, F., Zahoor, M., & Afzal, A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-9484-8.ch008
Spurava, G., Hartikainen, M., Raisamo, R., & Väänänen, K. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2710518
Zubair, A., Sayeed, G., Ashraf, M. S., Kumar, G., Haseeb, A., & Waheed, Y. (2026) · Decoding Infection and Transmission · doi:10.1016/j.dcit.2026.100089
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Najjar, M. S., & Nasir, M. (2026) · Human-Computer Interaction · doi:10.1080/07370024.2026.2717534
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Arora, A., & Arora, A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-9599-9.ch015
Navarrete-Almeida, M. S., & Jácome-Gómez, J. R. (2026) · Erevna Research Reports · doi:10.70171/c5gw3f52
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Couto, F. A. P., Malta, M. C., & Soares, A. L. (2026) · IFIP advances in information and communication technology · doi:10.1007/978-3-032-41234-8_6
Metadata
- Authors
- Abbass, H. A.
- Affiliations
- UNSW Canberra (AU)
- Corresponding author
- Abbass, Hussein A.
- ORCID
- Abbass, Hussein A.
- Venue
- Cognitive Computation
- Published
- 2019-01-14
- Volume
- 11
- Issue
- 2
- Pages
- 159-171
- ISSN
- 1866-9956 (ISSN-L)
- 1866-9964
- OpenAlex
- W2909340128
- Cited by
- 200
- References
- 55
- Citations by year
- 2026: 34 · 2025: 35 · 2024: 36 · 2023: 29 · 2022: 28 · 2021: 19 · 2020: 16 · 2019: 3
- FWCI
- 28.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Cognitive Computation (publishedVersion, cc-by)
- Funders
- Australian Research Council (DP160102037)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- human-AI relationship, trust in AI, human-AI interface, human autonomy, human-AI collaboration, AI decision-making
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