The Psychology of Thinking in Creating AI

Pertti Saariluoma; Antero Karvonen

doi:10.1109/GUCON50781.2021.9573882

The Psychology of Thinking in Creating AI

Not published at VTT

University of Jyväskylä

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	2021 IEEE 4th International Conference on Computing, Power and Communication Technologies, GUCON 2021
Publisher	IEEE Institute of Electrical and Electronic Engineers
Number of pages	6
ISBN (Electronic)	978-1-72819-951-1
DOIs	https://doi.org/10.1109/GUCON50781.2021.9573882
Publication status	Published - 24 Sept 2021
MoE publication type	A4 Article in a conference publication
Event	4th IEEE International Conference on Computing, Power and Communication Technologies, GUCON 2021 - Kuala Lumpur, Malaysia Duration: 24 Sept 2021 → 26 Sept 2021

Conference

Conference	4th IEEE International Conference on Computing, Power and Communication Technologies, GUCON 2021
Country/Territory	Malaysia
City	Kuala Lumpur
Period	24/09/21 → 26/09/21

Funding

We are grateful to VTT Technical Research Centre of Finland for the research setting and Lotta Sorsamäki (VTT) for support in research and analysis. This research was funded by Business Finland through the SEED -project.

Keywords

AI
Artificial Intelligence
Cognitive Models
Computer Science
Design Methods
Engineering Design
Psychology of Thinking

Access to Document

10.1109/GUCON50781.2021.9573882

Cite this

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title = "The Psychology of Thinking in Creating AI",

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.",

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author = "Pertti Saariluoma and Antero Karvonen",

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Saariluoma, P & Karvonen, A 2021, The Psychology of Thinking in Creating AI. in 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies, GUCON 2021. IEEE Institute of Electrical and Electronic Engineers, 4th IEEE International Conference on Computing, Power and Communication Technologies, GUCON 2021, Kuala Lumpur, Malaysia, 24/09/21. https://doi.org/10.1109/GUCON50781.2021.9573882

The Psychology of Thinking in Creating AI. / Saariluoma, Pertti; Karvonen, Antero.
2021 IEEE 4th International Conference on Computing, Power and Communication Technologies, GUCON 2021. IEEE Institute of Electrical and Electronic Engineers, 2021.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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N2 - 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.

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KW - Design Methods

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ER -

The Psychology of Thinking in Creating AI

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