Anthropomorphism and AI: Turingʼs much misunderstood imitation game
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The Turing Test has been characterized as 'anthropomorphism-proofed' because its design disincentivizes judges from anthropomorphizing the entity they are assessing.
“Interestingly, the Turing Test has been characterized as “anthropomorphism-proofed” (72), because its design disincentivizes judges in the test setup from anthropomorphizing the entity they are assessing, as they must by default assume that they are interacting with a machine.”
From The benefits and dangers of anthropomorphic conversational agents (2025) · cites this paper as [72]
The Conclusion calls the Turing test “anthropomorphism-proofed,” and Section 3 says its design builds in a disincentive to anthropomorphize. The cited passages do not support the citing sentence’s further explanation that judges must assume by default that they are interacting with a machine; Section 3 describes a game with both a human and a machine contestant. (LLM, conf=0.86)
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Copeland, B., & Proudfoot, D. (2012) · doi:10.1093/acprof:oso/9780198565932.003.0006 · Cited by 7
Self-citationBuilding a Machine Smart Enough to Pass the Turing Test
Lenat, D. B. (2007) · Springer eBooks · doi:10.1007/978-1-4020-6710-5_16 · Cited by 7 · see citing works
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- See, for example, N. Cassimatis, E.T. Mueller, and P.H. Winston, "Achieving human-level intelligence through integrated systems and research: introduc- tion to this Special Issue", AI Magazine, vol. 27, no. 2, 2006;
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- D.B. Lenat, "The voice of the turtle: whatever happened to AI?", AI Magazine, vol. 29, no. 2, 2008;
- B. Goertzel, "Human-level artificial general intelligence and the possibility of a technological singularity: A reaction to Ray Kurzweil's The Singularity Is Near, and Mc- Dermott's critique of Kurzweil", Artificial Intelligence, vol. 171, 2007;
- J. McCarthy, "From Here to Human-Level AI", Artificial Intelligence, vol. 171, 2007, and "Formalizing common sense knowledge in mathematical logic", The Rutherford Journal: The New Zealand Journal for the History and Philosophy of Science and Technology, vol. 3, www.rutherfordjournal.org;
- M. Minsky, P. Singh, and A. Sloman, "The St. Thomas common sense symposium: designing architectures for human-level intelligence", AI Magazine, vol. 25, no. 2, 2004;
- L.A. Zadeh, "Toward Human Level Machine Intelligence-Is It Achievable? The Need for a Paradigm Shift", IEEE Computational Intelligence Magazine, vol. 3, no. 3, 2008.
- See, for example, D. McDermott, "Level-headed", Artificial Intelligence, vol. 171, 2007;
- A. Sloman, "The well-designed young mathematician", Artificial Intelligence, vol. 172, 2008.
- J.B. Pollack, "Mindless Intelligence", IEEE Intelligent Systems, vol. 21, no. 3, 2006, pp. 50-56. All references to Pollack are to this paper.
- P.J. Hayes and K.M Ford, "Turing Test Considered Harmful", IJCAI-95 Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, Montreal, Quebec, August 20-25, vol. 1, Morgan Kaufman, 1995, p. 974.
- B. Whitby, "The Turing Test: AI's Biggest Blind Alley?", in P. Millican and A. Clark eds, The Legacy of Alan Turing, Vol. I, Machines and Thought, Oxford Univ. Press, 1996, p. 58.
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- P.J. Hayes and K.M. Ford, 1995, pp. 972, 976.
- K.M. Ford and P.J. Hayes, "On Computational Wings: Rethinking the Goals of Artificial Intelligence", Scientific American Presents, vol. 9, no. 4, 1998, p. 79.
- A. Sloman, "The Mythical Turing Test". Sloman says, '[F]ar from proposing a test to answer the question whether machines can think or whether machines are intelligent, [Turing] actually decides (rightly) that the question is absurd' (ibid.). However, what Turing states is 'absurd' is any attempt to answer this question by means of 'a statistical survey such as a Gallup poll' ("Computing Machinery and Intelligence", Mind, vol. 59, 1950, p. 433). Despite his notorious remark that the question 'Can machines think?' is 'too meaningless to deserve discussion' (ibid., p. 442), Turing discussed this question at length (Copeland points this out in B.J. Copeland ed., The Essential Turing, Oxford Univ. Press, 2004, pp. 476-477). He discussed it in his 1950 paper (where, after all, he said that the question 'Are there imaginable digital computers which would do well in the imitation game?' is a 'variant' of the question 'Can machines think?' (p. 442)), and in his radio broadcasts 'Can Digital Computers Think?' (A.M. Turing, 1951, "Can Digital Computers Think?", in B.J. Copeland ed., 2004) and "Can Automatic Calculating Machines Be Said To Think?" (A.M. Turing, R. Braithwaite, G. Jefferson, and M. Newman, 1952, in B.J. Copeland ed., 2004). In the first of these broadcasts, for example, Turing speaks of 'programming a machine to think' and 'the attempt to make a thinking machine', and he makes it clear that he is in favour of 'the theory that machines could be made to think' (pp. 485-486).
- A.M. Turing, 1950, pp. 452, 436, 446.
- A.M. Turing, 1948, "Intelligent Machinery", in B.J. Copeland ed., 2004, p. 431. For my analysis of Turing's approach to intelligence, see D. Proudfoot, "Rethinking Turing's test", forthcoming; D. Proudfoot and B.J. Copeland, "Artificial Intelligence", in E. Margolis, R. Samuels, and S. Stich eds, Oxford Hand- book of Philosophy and Cognitive Science, Oxford Univ. Press, forthcoming;
- B.J. Copeland and D. Proudfoot, "Artificial Intelligence: History, Foundations, and Philosophical Issues", in P. Thagard ed., Handbook of the Philosophy of Psychology and Cognitive Science, Elsevier, 2006. 15 On anthropomorphism in AI, see e.g. D. Proudfoot, "How Human Can They Get?", Science, vol. 248, 1999, p. 745 and "The Implications of an Externalist Theory of Rule-Following Behaviour for Robot Cognition", Minds and Machines, vol. 14, 2004, pp. 295, 302;
- B.J. Copeland and D. Proudfoot, 2006, pp. 445-446.
- A.M. Turing, 1950, pp. 456-457; "Intelligent Machinery: a Heretical Theory", c. 1951, in B.J. Copeland ed., 2004, p. 473.
- A.M. Turing, 1948, pp. 424-429.
- V. Braitenberg, Vehicles: Experiments in Synthetic Psychology, MIT Press, 1984, pp. 83, 68, 19, 46, 83, 46, 41.
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- See, e.g., C. Breazeal and J. Velásquez, "Toward Teaching a Robot 'Infant' using Emotive Communication Acts", in Proceedings of 1998 Simulation of Adaptive Behavior, workshop on Socially Situated Intelligence; http://www.ai.mit.edu/projects/sociable/publications.html.
- L. Wittgenstein, Philosophical Investigations, 2nd edition, eds. G.E.M. Anscombe and R. Rhees, Blackwell, 1972.
- C. Breazeal, "Affective Interaction between Humans and Robots", in J. Kelemen and P. Sosik eds, ECAL 2001, LNAI 2159, Springer-Verlag, 2001, p. 585;
- C. Breazeal and P. Fitzpatrick, "That Certain Look: social amplification of animate vision", Proceedings of the AAAI Fall Symposium, Socially Intelligent Agents-The Human in the Loop, 2000, http://people.csail.mit.edu/paulfitz/publications.html.
- Another example of plainly false ascriptions in AI is the use of personal pronouns ('he' and 'she') to refer to machines. A recent case is E.S. Brunette, R.C. Flemmer, and C.L. Flemmer, "A review of artificial intelligence", ICARA 2009 -Proceedings of the Fourth International Conference on Autonomous Robots and Agents, 2009, IEEE.
- N. Block, "Psychologism and Behaviorism", Philosophical Review, vol. 90, no. 1, 1981, p. 10. 41 See, e.g., M. Minsky, P. Singh, and A. Sloman, 2004.
- For example, Turing-just as Pollack advocates-sought to understand how the human brain might emerge naturally; he said that '[t]he brain structure has to be one which can be achieved by the genetic embryological mechanism' and hoped that his work on neuron-like computation might clarify this process. (Letter from Turing to the biologist J.Z. Young. A copy is in the Modern Archive Centre, King's College, Cambridge (catalogue reference K1.78).)
- For example, in addition to his ground-breaking work on mechanized search in the Bombe, Turing anticipated computation by neural networks and was the first to use computer simulation to investigate the development of pattern in living things. On the Bombe, see B.J. Copeland ed., 2004, ch. 6 and pp. 353-355;
- B.J. Copeland and D. Proudfoot, "On Alan Turing's Anticipation of Connectionism", Synthese, vol. 108, 1996 (reprinted in R. Chrisley ed., Artificial Intelligence: Critical Concepts in Cognitive Science, Volume 2: Symbolic AI, Routledge, 2000);
- B.J. Copeland and D. Proudfoot, "Alan Turing's Forgotten Ideas in Computer Science", Scientific American, vol. 280 (April), 1999.
- On simulation, see A.M. Turing, "The Chemical Basis of Morphogenesis", Philosophical Transactions of the Royal Society of London, Series B, vol. 237, 1952 (reprinted in B.J. Copeland ed., 2004; see also pp. 507-518);
- A.M. Turing, 1950, p. 435. 47 Discussions of philosophical objections to the Turing test include: J.R. Searle, "Minds, Brains, and Programs", Behavioral and Brain Sciences, vol. 3, 1980;
- R.M. French, "The Turing Test: The First 50 Years", Trends in Cognitive Science, vol. 4, no. 3, 2000;
- P.M. Churchland, "On the Nature of Intelligence: Turing, Church, von Neumann, and the Brain", in R. Epstein, G. Roberts, and G. Beber eds, 2008; D. Proudfoot, "Wittgenstein's Anticipation of the Chinese Room", in J. Preston and M. Bishop eds, 2002 and "Review of James Moor (Ed.), The Turing Test: The Elusive Standard of Artificial Intelligence", Philosophical Psychology, vol. 19, no. 2, 2005;
- N. Block, "The Mind as the Software of the Brain", p. 383. 50 The objection in this paragraph is based on B.J. Copeland, 2003, pp. 14-15.
- On this point, see e.g. J.H. Moor, "Turing Test", in S.C. Shapiro ed., Encyclopedia of Artificial Intelligence, John Wiley, 1987, p. 1126.
- A.M. Turing, et al., 1952, pp. 503-504.
- See B.J. Copeland, 2003, p. 15. 55 The recent philosophical literature on consciousness, zombie thought experiments, and machine consciousness is extensive. See, for example, D. Chalmers, "Facing up to the problem of consciousness", Journal of Consciousness Studies, vol. 2, no. 3, 1995;
- N. Block, "On a confusion about the function of consciousness", Behavioral and Brain Sciences, vol. 18, no. 2, 1995;
- J. McCarthy, "Todd Moody's zombies", Journal of Consciousness Studies, vol. 2, no. 4, 1995;
- D. Dennett, 'The unimagined preposterousness of zombies', Journal of Consciousness Studies, vol. 2, no. 4, 1995;
- O. Flanagan and T. Polger, "Zombies and the function of consciousness', Journal of Consciousness Studies, vol. 2, no. 4, 1995;
- K. Balog, "Conceivability, Possibility, and the Mind-Body Problem", Philosophical Review, vol. 108, no. 4, 1999;
- R. Kirk, "The inconceivability of zombies", Philosophical Studies, vol. 139, 2008;
- A. Sloman, "Phenomenal and Access Consciousness and the 'Hard' Problem: A View from the Designer Stance', International Journal of Machine Consciousness, vol. 2, no. 1, 2010.
- J.R. Searle, "Twenty-One Years in the Chinese Room", in J. Preston and M. Bishop eds, Views into the Chinese Room: New Essays on Searle and Artificial Intelligence, Oxford Univ. Press, 2002, pp. 52, 64. 57 'Intelligence amplifier' is Lenat's term. D.B. Lenat, "Building a Machine Smart Enough to Pass the Turing Test: Could We, Should We, Will We?", in R. Epstein, G. Roberts, and G. Beber eds, Parsing the Turing Test: Philosophical and Methodological Issues in the Quest for the Thinking Computer, Springer, 2008, p. 281.
- A.M. Turing, c. 1951, p. 484; 1950, pp. 434, 435.
- D.C. Dennett, "Intentional Systems", in his Brainstorms: Philosophical Essays on Mind and Psychology, Harvester Press, 1979, pp. 3-4.
- D.C. Dennett, 1979, p. 8. 70 Personal communication from Rodney Brooks. 71 A classic early text is S.E. Guthrie, Faces in the Clouds: A New Theory of Religion, Oxford Univ. Press, 1993.
- D.L. Waltz, "Evolution, Sociobiology, and the Future of Artificial Intelligence", IEEE Intelligent Systems, vol. 21, no. 3, 2006, p. 68.
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Proudfoot, D. (2012) · The frontiers collection · doi:10.1007/978-3-642-32560-1_18 · Cited by 13 · see citing works
Self-citationArt Notions in the Age of (Mis)anthropic AI
Grba, D. (2024) · Arts · doi:10.3390/arts13050137 · Cited by 7 · see citing works
Burgess, M. (2024) · IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vl/hcc60511.2024.00021 · Cited by 7 · see citing works
“Blackwell (and others, [2, 6, 12, 21, 33]) have noted this disposition to misattribute capacities to machines (largely the literature considers the anthropomorphic case): “A ‘self-driving’ car does not have an artificial driver, it is simply a slightly more complex cruise-control” [12].”
BackgroundAn Analysis of Turing’s Criterion for ‘Thinking’
Proudfoot, D. (2022) · Philosophies · doi:10.3390/philosophies7060124 · Cited by 7 · see citing works
Self-citationTesting for completions that simulate altruism in early language models
Johnson, T., & Obradovich, N. (2025) · Nature Human Behaviour · doi:10.1038/s41562-025-02258-7 · Cited by 5 · see citing works
“We highlight this decision not just because of enduring concerns about anthropomorphizing AI systems 37 , but also because we believe recent terminological recommendations 36 promote more-accurate descriptions of LLM outputs and clarify aspects of our research design.”
Turing's Three Senses of “Emotional”
Proudfoot, D. (2014) · International Journal of Synthetic Emotions · doi:10.4018/ijse.2014070102 · Cited by 5 · see citing works
Self-citationO'Brien, A. J., Vrazas, J. I., & Clements, W. (2023) · Journal of Medical Imaging and Radiation Oncology · doi:10.1111/1754-9485.13609 · Cited by 6 · see citing works
AI 로봇 의인화 연구: ‘알파고’ 보도의 의미네트워크분석
임종수, Moon, H., hyun, Y. S., Jeong, T., Lee, Y., Shin, M., & Yoon, J. (2017) · Korean Journal of Journalism & Communication Studies · doi:10.20879/kjjcs.2017.61.4.004 · Cited by 6 · see citing works
Post-creativity and AI: Reverse-engineering our Conceptual Landscapes of Creativity.
Stephensen, J. L. (2020) · Cited by 5 · see citing works
Ammon, L., & Reed, R. (2019) · Journal of Posthuman Studies · doi:10.5325/jpoststud.3.2.0120 · Cited by 5 · see citing works
Lim, J.-S., Choi, J., & Lee, H. (2020) · Korean Journal of Journalism & Communication Studies · doi:10.20879/kjjcs.2020.64.4.012 · Cited by 5 · see citing works
Modelling a socialised chatbot using trust development in children: lessons learnt from Tay
Bridge, O., Raper, R., Strong, N., & Nugent, S. E. (2021) · Cognitive Computation and Systems · doi:10.1049/ccs2.12019 · Cited by 5 · see citing works
“This can lead to issues of uncanny valley and could also imply treating the machine as something it is not: human [48].”
BackgroundChen, Y., Chiu, F., & Huang, T.-L. (2025) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-01-2025-0050 · Cited by 5 · see citing works
Grève, S. S. (2025) · Journal for General Philosophy of Science · doi:10.1007/s10838-024-09715-3 · Cited by 5 · see citing works
“Arguably, the appearance of such poor intellectual work by someone generally so capable should have been enough to make scholars reconsider their initial assessment.”
Hybrid theory of corporate legal personhood and its application to artificial intelligence
Raskulla, S. (2023) · SN Social Sciences · doi:10.1007/s43545-023-00667-x · Cited by 4 · see citing works
“See also Shevlin 2021; Proudfoot 2011; Dennett 1988).”
BackgroundSubjectness of Intelligence: Quantum-Theoretic Analysis and Ethical Perspective
Суров, И. А., & Melnikova, E. N. (2024) · Foundations of Science · doi:10.1007/s10699-024-09947-y · Cited by 4 · see citing works
“Ascribing classical AI with “intelligence” either ignores its non-algorithmic components, or subscribes to a mis-placed anthropomorphic view (Proudfoot, 2011; Salles et al., 2020).”
Does Computation Reveal Machine Cognition?
Mondal, P. (2013) · Biosemiotics · doi:10.1007/s12304-013-9179-3 · Cited by 4 · see citing works
“This may well emanate from what Proudfoot (2011) calls the forensic problem of anthropomorphism in AI.”
BackgroundMoral Status for Malware! The Difficulty of Defining Advanced Artificial Intelligence
Mowbray, M. (2021) · Cambridge Quarterly of Healthcare Ethics · doi:10.1017/s0963180120001061 · Cited by 4 · see citing works
“55 More recently, owners of Roomba vacuum cleaners described them to Ja-Young Sung et al. as being “ frustrated ” by a long-pile rug and “ dead, sick, or hospitalized ” when needing repair.”
BackgroundMIA-Leak: Exploring Membership Inference Attacks in Federated Learning Systems
Zhu, C., Zhang, J., Cheng, X., Chen, W., & Sun, X. (2023) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-31420-9_9 · Cited by 3 · see citing works
Configurable Intelligent Design Based on Hierarchical Imitation Models
Yavich, R., Malev, S., Volinsky, I., & Rotkin, V. (2023) · Applied Sciences · doi:10.3390/app13137602 · Cited by 4 · see citing works
Anthropomorphism in social AIs: Some challenges
Salles, A. L. F., & Paz, A. W. (2024) · Developments in neuroethics and bioethics · doi:10.1016/bs.dnb.2024.02.007 · Cited by 4 · see citing works
Turing and Free Will: A New Take on an Old Debate
Proudfoot, D. (2017) · Boston studies in the philosophy of science · doi:10.1007/978-3-319-53280-6_13 · Cited by 4 · see citing works
Self-citationWang, X., Pang, C. C., & Hui, P. (2025) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3746059.3747617 · Cited by 3 · see citing works
Bridging Gaps in AI Representation: A Cross-Cultural Analysis of Media Imagery
Sanguinetti, P., & Palomo, B. (2025) · Journalism Practice · doi:10.1080/17512786.2025.2522883 · Cited by 3 · see citing works
“This covers from the metaphors used by the AI-pioneer Alan Turing (Proudfoot 2011), through the lexical family inherited since then (intelligence, neural networks, learning, hallucinations) to the deliberately anthropomorphic design of current models (e.g., Microsoft’s chatbot, Bing, responding “I’ve reset my brain fo…”
Artificial General Intelligence and Panentheism
Li, O. (2023) · Theology and Science · doi:10.1080/14746700.2023.2188373 · Cited by 3 · see citing works
Designing A Popular Game Framework Using Neat A Genetic Algorithms
Asha, V., Prasad, A., Vishwanath, C., et al. (2023) · doi:10.1109/icaia57370.2023.10169555 · Cited by 3 · see citing works
Galilean resonances: the role of experiment in Turing’s construction of machine intelligence
Gonçalves, B. (2023) · Annals of Science · doi:10.1080/00033790.2023.2234912 · Cited by 3 · see citing works
“…philosophy and cognitive science (Moor 2003; Shieber 2004; Copeland and Proudfoot 2009; Proudfoot 2013), arti fi cial intelligence (Hayes and Ford 1995; Proudfoot 2011), and within Turing scholarship itself (Copeland 2017; Proudfoot 2017), as a kind of crucial experiment to determine the…”
BackgroundInfluentialLegal Status of Artificial Intelligence from Quantum-Theoretic Perspective
Melnikova, E., & Суров, И. А. (2023) · BRICS Law Journal · doi:10.21684/2412-2343-2023-10-4-5-34 · Cited by 3 · see citing works
Can a Robot Smile? Wittgenstein on Facial Expression
Proudfoot, D. (2013) · Palgrave Macmillan UK eBooks · doi:10.1057/9781137384287_10 · Cited by 3 · see citing works
“Second, it provides a conceptual framework that is valuable in tackling (what I call) the forensic problem of anthropomorphism for AI (Proudfoot, 2011).”
BackgroundSelf-citationWill the Government Machine Turn into a Monster?
Klischewski, R. (2019) · Annual International Conference on Digital Government Research · doi:10.1145/3325112.3325221 · Cited by 3 · see citing works
“In the context of artificial intelligence, Diane Proudfoot (2011) calls this the ―forensic problem of anthropomorphism‖ (see also figure 2).”
BackgroundSilalahi, A. D. K. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5037486 · Cited by 3 · see citing works
On Large Language Models’ capacity to replace human teachers: a lesson from the Mahabharata
Calvert, I., Frame, M., & Ashcraft, J. (2025) · Journal of Philosophy of Education · doi:10.1093/jopedu/qhaf039 · Cited by 2 · see citing works
Handling the hype: Demystifying artificial intelligence for memory studies
Merrill, S., Makhortykh, M., Mandolessi, S., Walden, V. G., Smit, R., & Wang, Q. (2025) · Memory Mind & Media · doi:10.1017/mem.2025.10018 · Cited by 7 · see citing works
“’ , shaping present (mis)understandings of genAI (Turing 1950; Proudfoot 2011).”
The repression of mètis within digital organizations
Holford, W. D. (2020) · Prometheus · doi:10.13169/prometheus.36.3.0253 · Cited by 2 · see citing works
“To date, no machine has passed the Turing test (Russell and Norvig, 2010; Proudfoot, 2011).”
MethodSex, Lies, and Imitation Games: The Ethical Implications of an Artificially Intelligent Girlfriend
Kaufman, E. M. (2018) · DigitalGeorgetown (Georgetown University Library) · Cited by 2 · see citing works
Odoom, R., Kosiba, J. P., & Odoom, P. T. (2026) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2026.100303 · Cited by 1 · see citing works
Psychopolitics of warfare: Algorithmic violence and the digital unconscious in military AI systems
Haq, S. U. (2026) · Philosophy of Management · doi:10.1007/s40926-026-00387-1 · Cited by 1 · see citing works
“Critics caution against anthropomorphizing AI (Proudfoot 2011); however, structural parallels remain difficult to ignore.”
The Users' Manual to the Unconscious Mind
Reynaga, G., Julie, T., Tashiro, J. S., et al. (2011) · e-mentor · Cited by 1 · see citing works
Can a Robot Smile? Wittgenstein on Facial Expression
Proudfoot, D. (2013) · Palgrave Macmillan eBooks · doi:10.1057/9781137384287.0015 · Cited by 1 · see citing works
Self-citationPsychology and Law in the Era of the Fourth Industrial Revolution: New Challenges and Problems
Park, K. (2020) · 한국심리학회지: 일반 · doi:10.22257/kjp.2020.12.39.4.481 · Cited by 1 · see citing works
Are Minds Computable?Preprint
Gershenson, C. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1110.3002 · Cited by 1 · see citing works
“Turing himself proposed his famous test to decide this (Turing, 1950; Proudfoot, 2011).”
BackgroundMillar, J. (2015) · QSpace (Queen's University Library) · Cited by 1 · see citing works
Artificial Intelligence and the Future of Businesses
Oberoi, P. (2020) · Encyclopedia of the UN sustainable development goals · doi:10.1007/978-3-319-71059-4_145-1 · Cited by 1 · see citing works
Artificial Intelligence and the Future of Businesses
Oberoi, P. (2021) · Encyclopedia of the UN sustainable development goals · doi:10.1007/978-3-319-95873-6_145 · Cited by 1 · see citing works
The Impact of Anthropomorphizing Large Language Models-based Chatbots: A Scoping ReviewPreprint
D’elia, Y., Caballa, N., Nguyen, C., Tong, X., Kadambi, A., & Aziz‐Zadeh, L. (2026) · Research Square · doi:10.21203/rs.3.rs-9224936/v1 · Cited by 1 · see citing works
Intelligent Kernel of Emotions - IKE : An approach to an AI-complete system
Bark, F., & Andersons, O. (2015) · KTH Publication Database DiVA (KTH Royal Institute of Technology)
Artificial life investigations into the evolutionary origins of representational cognition
Arnold, S. (2015) · Nagoya University Repository (NAGOYA Repository)
Enhancing Group Expertise and Performance Across Technology
Holford, W. D. (2020) · Springer eBooks · doi:10.1007/978-3-030-41156-5_9
IT’s Impressive, but Sometimes Misleading Track Record
Holford, W. D. (2020) · Springer eBooks · doi:10.1007/978-3-030-41156-5_4
Handouts don’t exist. Hustle or you don’t eat.
McGarrigle, C. (2021) · Media-N · doi:10.21900/j.median.v17i2.764
“Certainly, there is a human tendency to anthropomorphize machines that are triggered by machine learning; 24 however, what was produced, while effective, was far from intelligent in any real sense.”
BackgroundSelectivity: The Essence of Natural and Artificial Intelligence
Zhang, Y. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-031-09173-5_107
Temtsin, S., Proudfoot, D., & Bartneck, C. (2022) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3527188.3563918
Self-citationInterpretable AI for medical image analysis: methods, evaluation, and clinical considerations
Gonçalves, T., Hedström, A., de Mortanges, A. P., Li, X., Müller, H., Cardoso, J. S., & Reyes, M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-44-323761-4.00027-4
- Authors
- Proudfoot, D.
- Affiliations
- University of Canterbury (NZ)
- Corresponding author
- Proudfoot, Diane
- ORCID
- Proudfoot, Diane
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 175
- Issue
- 5-6
- Pages
- 950-957
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W2089192547
- Cited by
- 109
- References
- 3
- Citations by year
- 2026: 10 · 2025: 11 · 2024: 10 · 2023: 17 · 2022: 7 · 2021: 7 · 2020: 16 · 2019: 4 · 2018: 3 · 2017: 4 · 2016: 2 · 2015: 6 · 2014: 3 · 2013: 5 · 2012: 1
- FWCI
- 22.42
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Artificial Intelligence (publishedVersion)
- University of Canterbury Research Repository (University of Canterbury) (submittedVersion)
- PhilPapers (PhilPapers Foundation) (submittedVersion)
- Topics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Cybernetics and Technology in Society
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- anthropomorphism, Turing test, machine intelligence, human-level AI, pretense, philosophy of mind, Alan Turing
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