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Published in: AI & SOCIETY 4/2023

01-03-2022 | Original Article

Toward the search for the perfect blade runner: a large-scale, international assessment of a test that screens for “humanness sensitivity”

Authors: Robert Epstein, Maria Bordyug, Ya-Han Chen, Yijing Chen, Anna Ginther, Gina Kirkish, Holly Stead

Published in: AI & SOCIETY | Issue 4/2023

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Abstract

We introduce a construct called “humanness sensitivity,” which we define as the ability to recognize uniquely human characteristics. To evaluate the construct, we used a “concurrent study design” to conduct an internet-based study with a convenience sample of 42,063 people from 88 countries (52.4% from the U.S. and Canada).We sought to determine to what extent people could identify subtle characteristics of human behavior, thinking, emotions, and social relationships which currently distinguish humans from non-human entities such as bots. Many people were surprisingly poor at this task, even when asked simple questions about human relationships or anatomy. Participants were best at identifying subtle aspects of human cognition and worst at identifying subtle aspects of human communication. Test scores were good predictors of whether someone was employed and modest predictors of other self-reported criterion measures. We also found that people identifying themselves in marginal societal categories (e.g., in the “other” category for gender or sexual orientation) identified themselves as less human and also scored lower on our test. As computers continue to become more human-like, our study suggests that the vast majority of humankind will likely have great difficulty distinguishing them from people. Can methods be devised for improving this ability? Might humanness sensitivity help people to make such distinctions? Will people who excel at differentiating humans and non-human entities—like the “blade runners” in the 1982 and 2017 feature films—someday hold a special place in society?

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Appendix
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Footnotes
1
Epstein was encouraged to relive his embarrassment on an episode of NPR’s Radiolab, accessible here: https://​www.​wnycstudios.​org/​podcasts/​radiolab/​segments/​137466-clever-bots.​
 
3
Because scores on the EHI are on an ordinal scale of measurement, nonparametric statistics, such as Spearman’s ρ, the Mann–Whitney U, and the Kruskal–Wallis H, were used throughout this report. Means and standard deviations are reported for comparison purposes, although the appropriateness of their use with ordinal data has long been debated (e.g., Lord 1953; Townsend and Ashby 1984). Test scores are always given as a percentage of the maximum possible raw score.
 
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Metadata
Title
Toward the search for the perfect blade runner: a large-scale, international assessment of a test that screens for “humanness sensitivity”
Authors
Robert Epstein
Maria Bordyug
Ya-Han Chen
Yijing Chen
Anna Ginther
Gina Kirkish
Holly Stead
Publication date
01-03-2022
Publisher
Springer London
Published in
AI & SOCIETY / Issue 4/2023
Print ISSN: 0951-5666
Electronic ISSN: 1435-5655
DOI
https://doi.org/10.1007/s00146-022-01398-y

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