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Will human-like machines make human-like mistakes?

Published online by Cambridge University Press:  10 November 2017

Evan J. Livesey ,
Micah B. Goldwater  and
Ben Colagiuri
Evan J. Livesey
Affiliation:
School of Psychology, The University of Sydney, NSW 2006, Australia. [email protected]@[email protected]://sydney.edu.au/science/people/evan.livesey.phphttp://sydney.edu.au/science/people/micah.goldwater.phphttp://sydney.edu.au/science/people/ben.colagiuri.php
Micah B. Goldwater
Affiliation:
School of Psychology, The University of Sydney, NSW 2006, Australia. [email protected]@[email protected]://sydney.edu.au/science/people/evan.livesey.phphttp://sydney.edu.au/science/people/micah.goldwater.phphttp://sydney.edu.au/science/people/ben.colagiuri.php
Ben Colagiuri
Affiliation:
School of Psychology, The University of Sydney, NSW 2006, Australia. [email protected]@[email protected]://sydney.edu.au/science/people/evan.livesey.phphttp://sydney.edu.au/science/people/micah.goldwater.phphttp://sydney.edu.au/science/people/ben.colagiuri.php
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Abstract

Although we agree with Lake et al.'s central argument, there are numerous flaws in the way people use causal models. Our models are often incorrect, resistant to correction, and applied inappropriately to new situations. These deficiencies are pervasive and have real-world consequences. Developers of machines with similar capacities should proceed with caution.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e270
Copyright
Copyright © Cambridge University Press 2017 

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References

Carey, S. (2011) The origin of concepts: A précis. Behavioral and Brain Sciences 34(03):113–62.CrossRefGoogle ScholarPubMed
Chi, M. T., Slotta, J. D. & De Leeuw, N. (1994) From things to processes: A theory of conceptual change for learning science concepts. Learning and Instruction 4(1):27–43.CrossRefGoogle Scholar
Colagiuri, B., Schenk, L. A., Kessler, M. D., Dorsey, S. G. & Colloca, L. (2015) The placebo effect: from concepts to genes. Neuroscience 307:171–90.CrossRefGoogle ScholarPubMed
Don, H. J., Goldwater, M. B., Otto, A. R. & Livesey, E. J. (2016) Rule abstraction, model-based choice, and cognitive reflection. Psychonomic Bulletin & Review 23(5):1615–23.CrossRefGoogle ScholarPubMed
Gentner, D., Loewenstein, J., Thompson, L. & Forbus, K. D. (2009) Reviving inert knowledge: Analogical abstraction supports relational retrieval of past events. Cognitive Science 33(8):1343–82.CrossRefGoogle ScholarPubMed
Gick, M. L. & Holyoak, K. J. (1980) Analogical problem solving. Cognitive Psychology 12(3):306–55.Google Scholar
Larson, H. J., Cooper, L. Z., Eskola, J., Katz, S. L. & Ratzan, S. (2011) Addressing the vaccine confidence gap. The Lancet 378(9790):526–35.CrossRefGoogle ScholarPubMed
Lewandowsky, S., Ecker, U. K., Seifert, C. M., Schwarz, N. & Cook, J. (2012) Misinformation and its correction continued influence and successful debiasing. Psychological Science in the Public Interest 13(3):106–31.CrossRefGoogle ScholarPubMed
Lindeman, M. (2011) Biases in intuitive reasoning and belief in complementary and alternative medicine. Psychology and Health 26(3):371–82.CrossRefGoogle ScholarPubMed
Matute, H., Blanco, F., Yarritu, I., Díaz-Lago, M., Vadillo, M. A. & Barberia, I. (2015) Illusions of causality: How they bias our everyday thinking and how they could be reduced. Frontiers in Psychology 6:888. doi: 10.3389/fpsyg.2015.00888.CrossRefGoogle ScholarPubMed
Otto, A. R., Skatova, A., Madlon-Kay, S. & Daw, N. D. (2015) Cognitive control predicts use of model-based reinforcement learning. Journal of Cognitive Neuroscience 27:319–33.CrossRefGoogle ScholarPubMed
Rozenblit, L. & Keil, F. (2002) The misunderstood limits of folk science: An illusion of explanatory depth. Cognitive Science 26(5):521–62.CrossRefGoogle ScholarPubMed
Silverman, R. D. & Hendrix, K. S. (2015) Point: Should childhood vaccination against measles be a mandatory requirement for attending school? Yes. CHEST Journal 148(4):852–54.CrossRefGoogle Scholar
Svedholm, A. M. & Lindeman, M. (2013) Healing, mental energy in the physics classroom: Energy conceptions and trust in complementary and alternative medicine in grade 10–12 students. Science & Education 22(3):677–94.CrossRefGoogle Scholar
Taylor, E. G. & Ahn, W.-K. (2012) Causal imprinting in causal structure learning. Cognitive Psychology 65:381–413.CrossRefGoogle ScholarPubMed
Thorwart, A. & Livesey, E. J. (2016) Three ways that non-associative knowledge may affect associative learning processes. Frontiers in Psychology 7:2024. doi: 10.3389/fpsyg.2016.02024.CrossRefGoogle ScholarPubMed