Embodied Intelligence and Digital Information Technology: AI and the Body Materiality

Tamari, Tomoko. 2022. 'Embodied Intelligence and Digital Information Technology: AI and the Body Materiality'. In: Reconsidering the Body in the Post-Media Era. Tokyo University of Arts, Japan 14 June 2022. [Conference or Workshop Item]

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Abstract or Description

AI refers to ‘computer systems that simulate or exhibit a specific aspect of human intelligence or intelligent behaviour, such as learning, reasoning, and problem solving’ (Chen, Decary 2020:10) . We are living in a society with highly advanced digital information technologies. Such as banking system, stock market database, international flight control system, retailing marketing database, security system, self-tracking tools, data assimilation in weather forecasting, medical data system and art world. Our everyday life is almost impossible to establish without computers, numerous types of software, information technologies and artificial intelligence. Computer programmes with artificial intelligence are usually implemented into software. Softwares are often designed to be invisible for users to be able to control effortless and intuitively. It is, therefore, generally considered that AI itself do not have a physical body. Here, I would like to emphases the significance of physical body in order to better understand potential implications of future AI society. The paper also attempts to unpack different meanings of embodiment in the field of social science and technology respectively. The paper focuses on two specific areas which are good example to discuss significance of materiality of the body: medicine and art in relation to robotics.

Item Type:

Conference or Workshop Item (Keynote)

Departments, Centres and Research Units:

Institute for Cultural and Creative Entrepreneurship (ICCE)

Dates:

DateEvent
14 June 2022Completed

Event Location:

Tokyo University of Arts, Japan

Date range:

14 June 2022

Item ID:

38539

Date Deposited:

05 Mar 2025 11:28

Last Modified:

05 Mar 2025 11:28

URI:

https://research.gold.ac.uk/id/eprint/38539

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