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A note on chances and limitations of psychometric AI

Besold, T. R. (2014). A note on chances and limitations of psychometric AI. Lecture Notes in Computer Science, 8736, pp. 49-54. doi: 10.1007/978-3-319-11206-0_5


Human-level artificial intelligence (HAI) surely is a special research endeavor in more than one way: In the first place, the very nature of intelligence is not entirely clear; there are no criteria commonly agreed upon necessary or sufficient for the ascription of intelligence other than similarity to human performance (and even this criterion is open for a plethora of possible interpretations); there is a lack of clarity concerning how to properly investigate HAI and how to proceed after the very first steps of implementing an HAI system; etc. In this note I assess the ways in which the approach of Psychometric Artificial Intelligence [1] can (and cannot) be taken as a foundation for a scientific approach to HAI.

Publication Type: Article
Additional Information: This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer Science. The final authenticated version is available online at:
Departments: School of Science & Technology > Computer Science
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