Abstract
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.
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Besold, T.R. (2014). A Note on Chances and Limitations of Psychometric AI. In: Lutz, C., Thielscher, M. (eds) KI 2014: Advances in Artificial Intelligence. KI 2014. Lecture Notes in Computer Science(), vol 8736. Springer, Cham. https://doi.org/10.1007/978-3-319-11206-0_5
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DOI: https://doi.org/10.1007/978-3-319-11206-0_5
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