Abstract
This paper is dedicated to the analysis of the issues the Artificial Intelligence (AI) developers are facing when they design the software. We suggest to use the numerous Systemic-Structural Activity Theory (SSAT) methods of analyzing and optimizing human performance in order to streamline the AI design process. The paper offers examples of the AI applications and describes some of the methods and application of the SSAT framework. AI replaces routine human tasks with the software and SSAT methodology allows to analyze human performance and build the human algorithm that can be replaced by AI. Utilization of SSAT will make software development much more efficient.
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References
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Bedny, I.S., Karwowski, W. (2021). Systemic-Structural Activity Theory and Artificial Intelligence. In: Ayaz, H., Asgher, U., Paletta, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2021. Lecture Notes in Networks and Systems, vol 259. Springer, Cham. https://doi.org/10.1007/978-3-030-80285-1_21
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DOI: https://doi.org/10.1007/978-3-030-80285-1_21
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