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Algorithms and Authenticity

Jago, Arthur S.·2019·Academy of Management Discoveries
DOI 10.5465/amd.2017.0002
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Abstract

As technology advances, artificially intelligent algorithms are becoming increasingly capable of human work. Across four experiments, I investigate people’s beliefs about the authenticity of algorithmic work, compared with human work. People believe algorithmic work is less authentic than human work because they believe it exhibits comparatively less moral authenticity, or sincerity relevant to a specific category (Experiments 1 and 2). However, people do not distinguish between human and algorithmic work when it comes to type authenticity, or accuracy when it comes to representing a specific category. Because of these authenticity attributions, people also believe algorithms’ characteristically moral decisions are relatively less ethical than identical human decisions (Experiment 3). To address these perceptions, organizations can increase algorithms’ seeming authenticity by highlighting human involvement in their creation or training processes (Experiment 4). I discuss implications given the increasing prevalence of automation.

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Show all 8 references

Research works printed but not linked: 69

  1. Alhouti S., 2016, Journal of Business Research, 69, 1242, 10.1016/j.jbusres.2015.09.007 · DOI · Paper page
  2. Allen R. C., 2009, The British industrial revolution in global perspective, 10.1017/CBO9780511816680 · DOI · Paper page
  3. Barasch A., 2014, Journal of Personality and Social Psychology, 107, 393, 10.1037/a0037207 · DOI · Paper page
  4. Beverland M. B., 2005, Journal of Management Studies, 42, 1003, 10.1111/j.1467-6486.2005.00530.x · DOI · Paper page
  5. Bonnefon J. F., 2016, Science, 352, 1573, 10.1126/science.aaf2654 · DOI · Paper page
  6. Bozhanov B., 2016, Computoser
  7. Brynjolfsson E., 2014, The second machine age: Work, progress, and prosperity in a time of brilliant technologies
  8. Buhrmester M., 2011, Perspectives on Psychological Science, 6, 3, 10.1177/1745691610393980 · DOI · Paper page
  9. Carroll G. R., 2015, Emerging trends in the social and behavioral sciences, 1
  10. Carroll G. R., 2000, American Journal of Sociology, 106, 715, 10.1086/318962 · DOI · Paper page
  11. Carroll G. R., 2009, Research in Organizational Behavior, 29, 255, 10.1016/j.riob.2009.06.003 · DOI · Paper page
  12. Castéran H., 2013, Tourism Management, 36, 153, 10.1016/j.tourman.2012.11.012 · DOI · Paper page
  13. Cerulo K. A., 2009, Annual Review of Sociology, 35, 531, 10.1146/annurev-soc-070308-120008 · DOI · Paper page
  14. Chandler J., 2014, Behavior Research Methods, 46, 112, 10.3758/s13428-013-0365-7 · DOI · Paper page
  15. Crandell S. S., 2016, The Korn Ferry Institute
  16. 10.5465/amr.1995.9503271992 · DOI · Paper page
  17. Ford M., 2016, Rise of the robots: Technology and the threat of a jobless future
  18. Frazier B. N., 2009, Journal of Cognition and Culture, 9, 1, 10.1163/156853709X414601 · DOI
  19. Frick W., 2015, Harvard Business Review, 93, 84
  20. Gayford M., 2016, MIT Technology Review
  21. Gino F., 2015, Psychological Science, 26, 983, 10.1177/0956797615575277 · DOI
  22. Goetz J., 2003, Robot and Human Interactive Communication, 2003 Proceedings
  23. Gombolay M. C., 2015, Autonomous Robots, 39, 293, 10.1007/s10514-015-9457-9 · DOI · Paper page
  24. Grandey A. A., 2005, Organizational Behavior and Human Decision Processes, 96, 38, 10.1016/j.obhdp.2004.08.002 · DOI · Paper page
  25. Gray H. M., 2007, Science, 315
  26. Grayson K., 2004, Journal of Consumer Research, 31, 296, 10.1086/422109 · DOI · Paper page
  27. Gray K., 2009, Journal of Personality and Social Psychology, 96, 505, 10.1037/a0013748 · DOI · Paper page
  28. Grove W. M., 1996, Psychology, Public Policy, and Law, 2, 293, 10.1037/1076-8971.2.2.293 · DOI · Paper page
  29. Hayes A. F., 2013, Introduction to mediation, moderation, and conditional process analysis: A regression-based approach
  30. Huang M., 2011, Frontiers in Human Neuroscience, 5, 1, 10.3389/fnhum.2011.00134 · DOI
  31. IBM, 2016, IBM Watson health
  32. Jones C., 2005, Journal of Management Studies, 42, 893, 10.1111/j.1467-6486.2005.00525.x · DOI
  33. Kamps H. J., 2016, Techcrunch
  34. Kaplan J., 2015, Humans need not apply: A guide to wealth and work in the age of artificial intelligence
  35. Koren Y., 2009, Computer, 42, 30, 10.1109/MC.2009.263 · DOI · Paper page
  36. Kovács B., 2013, Organization Science, 25, 458, 10.1287/orsc.2013.0843 · DOI · Paper page
  37. Kovács B., 2017, Sociological Science, 4, 80, 10.15195/v4.a4 · DOI
  38. Lehman D. W., 2014, Management Science, 60, 2602, 10.1287/mnsc.2014.1903 · DOI
  39. Lin P., 2011, Robot ethics: The ethical and social implications of robotics
  40. Lindemeier T., 2013, Computers & Graphics, 37, 293, 10.1016/j.cag.2013.01.005 · doi:10.1016/j.cag.2013.01.005
  41. Lindholm C., 2013, Anthropological Quarterly, 86, 361, 10.1353/anq.2013.0020 · DOI · Paper page
  42. MacCannell D., 1973, American Journal of Sociology, 79, 589, 10.1086/225585 · DOI · Paper page
  43. Mann G., 2016, Harvard Business Review
  44. Meehl P. E., 1954, Clinical versus statistical prediction: A theoretical analysis and review of the literature, 10.1037/11281-000 · DOI · Paper page
  45. Newell A., 1985, Human-Computer Interaction, 1, 209, 10.1207/s15327051hci0103_1 · DOI · Paper page
  46. Newman G. E., 2016, Journal of Cognition and Culture, 16, 294, 10.1163/15685373-12342181 · DOI
  47. Newman G. E., 2016, Philosophy Compass, 11, 609, 10.1111/phc3.12343 · DOI
  48. O’Neil C., 2016, Weapons of math destruction: How big data increases inequality and threatens democracy
  49. Peterson R. A., 2005, Journal of Management Studies, 42, 1083, 10.1111/j.1467-6486.2005.00533.x · DOI · Paper page
  50. Pizarro D. A., 2011, The social psychology of morality: Exploring the causes of good and evil, 91
  51. Pizarro D. A., 2012, Psychological Inquiry, 23, 185, 10.1080/1047840X.2012.670100 · DOI
  52. Sartre J. P., 1943, Being and nothingness: An essay on phenomenological ontology
  53. Sawyer R. J., 2007, Science, 318, 1037, 10.1126/science.1151606 · doi:10.1126/science.1151606
  54. Schroeder J., 2015, Social Psychological and Personality Science, 6, 940, 10.1177/1948550615597976 · DOI
  55. Shamir B., 2005, The Leadership Quarterly, 16, 395, 10.1016/j.leaqua.2005.03.005 · DOI · Paper page
  56. Shelton D. H., 1975, NASA Technical Note.
  57. Spooner B., 1988, The social life of things: Commodities in cultural perspective, 195
  58. Subramanian H., 2006, Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, 1777, 10.1145/1143997.1144285 · DOI
  59. Tay B. T. C., 2013, Proceedings of the 10th international conference on Engineering Psychology and Cognitive Ergonomics: Understanding Human Cognition-Volume Part I, 261, 10.1007/978-3-642-39360-0_29 · DOI
  60. Turkle S., 2007, Interaction Studies, 8, 501, 10.1075/is.8.3.11tur · DOI · Paper page
  61. Vartanian O., 2014, Brain and Cognition, 87, 52, 10.1016/j.bandc.2014.03.004 · DOI
  62. Wallach W., 2010, Topics in Cognitive Science, 2, 454, 10.1111/j.1756-8765.2010.01095.x · DOI
  63. Walumbwa F. O., 2008, Journal of Management, 34, 89, 10.1177/0149206307308913 · DOI · Paper page
  64. Wang N., 1999, Annals of Tourism Research, 26, 349, 10.1016/S0160-7383(98)00103-0 · DOI · Paper page
  65. Waytz A., 2014, Journal of Experimental Social Psychology, 52, 113, 10.1016/j.jesp.2014.01.005 · DOI · Paper page
  66. Waytz A., 2014, Emotion, 14, 434, 10.1037/a0036054 · DOI · Paper page
  67. Waytz A., 2014, Testing, Psychometrics, Methodology in Applied Psychology, 21, 1
  68. Wells G. L., 1999, Personality and Social Psychology Bulletin, 25, 1115, 10.1177/01461672992512005 · DOI · Paper page
  69. Yeomans M., 2015, Harvard Business Review

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Metadata

Authors
Jago, A. S.
Venue
Academy of Management Discoveries
Publisher
Academy of Management
Published
2019-03
Volume
5
Issue
1
Pages
38-56
ISSN
2168-1007 (ISSN-L)
DOI
10.5465/amd.2017.0002
OpenAlex
W2754764889
Cited by
160
References
8
FWCI
7.93
Type
journal article
Language
en
Open access
closed

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Jago, A. S. (2019). Algorithms and Authenticity. Academy of Management Discoveries. https://doi.org/10.5465/amd.2017.0002

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