A4 Article in conference proceedings
The Psychology of Thinking in Creating AI (2021)


Saariluoma, P., & Karvonen, A. (2021). The Psychology of Thinking in Creating AI. In GUCON 2021 : IEEE 4th International Conference on Computing, Power and Communication Technologies. IEEE. https://doi.org/10.1109/GUCON50781.2021.9573882


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Publication details

All authors or editors: Saariluoma, Pertti; Karvonen, Antero

Parent publication: GUCON 2021 : IEEE 4th International Conference on Computing, Power and Communication Technologies

Conference:

  • IEEE International Conference on Computing, Power and Communication Technologies

Place and date of conference: Kuala Lumpur, Malaysia, 24.-26.9.2021

eISBN: 978-1-7281-9951-1

Publication year: 2021

Publication date: 24/09/2021

Publisher: IEEE

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/GUCON50781.2021.9573882

Publication open access: Not open

Publication channel open access:


Abstract

The broad-scale emergence of AI in industry calls forth basic questions in terms of the knowledge bases and approaches relevant for its design. Engineering design has been mainly developed for electromechanical artifacts. In practice, this has meant that the scientific knowledge required for creating technical artifacts such as engines, cars, ships, cranes, telephones, radios, TVs, and simple data processing units has been natural science. However, one cannot find intelligent processes by means of physics and chemistry. Natural scientific phenomena follow their deterministic laws, but intelligence is based on selection and decision processes. The conceptual landscape of natural science is optimized for different kinds of phenomena than intelligent information processing. Consequently, the basic research under technology design should be rethought in light of the emergence of AI. To grasp intelligent information processing, we need concepts and approaches suited for the task. To create intelligent technologies on this basis, we need concepts and approaches that afford the operationalization of such information in artificial systems. We suggest that psychology of thinking and cognitive modeling provide a logical basis for future AI design.


Keywords: artificial intelligence; system design; human-machine systems; thinking; information (data); cognitive processes


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Last updated on 2022-15-06 at 14:41