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The Social‐Emotional Turing Challenge
Author(s) -
Jarrold William,
Yeh Peter Z.
Publication year - 2016
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v37i1.2638
Subject(s) - turing test , turing , generative grammar , computer science , test (biology) , emotional intelligence , artificial intelligence , human intelligence , cognitive science , data science , psychology , cognitive psychology , social psychology , paleontology , biology , programming language
Social‐emotional intelligence is an essential part of being a competent human and is thus required for human‐level AI. When considering alternatives to the Turing test it is therefore a capacity that is important to test. We characterize this capacity as affective theory of mind and describe some unique challenges associated with its interpretive or generative nature. Mindful of these challenges we describe a five‐step method along with preliminary investigations into its application. We also describe certain characteristics of the approach such as its incremental nature, and countermeasures that make it difficult to game or cheat.

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