Mapping geographical biases of AI principles

Jung, Minseok; Sanfilippo, Madelyn Rose

Permalink

https://hdl.handle.net/2142/113756 Copy

Description

Title

Mapping geographical biases of AI principles

Author(s)

• Jung, Minseok
• Sanfilippo, Madelyn Rose

Issue Date

2022-02-28

Keyword(s)

• AI ethics
• social computing
• bias
• sociotechnical systems
• computational social science

Abstract

This research investigates geographical biases of AI principles. Although we assume countries participate equally in discussions for the direction of AI development and deployment, value biases are worrisome. Some economically dominant countries might codify most of the AI principles for their regional benefit. On the other hand, other less powerful regions might be underrepresented or unrepresented. To measure a geographical bias of principle declarations, the study collected AI principles (n=94) by filtering datasets of former research and analyzed them using computational tools. The research team found that institutions from 25 countries (12.95%) directly declared their own AI principles out of 193 countries of the world. Among leading countries for AI principle declarations, three main regions mostly participated in AI ethics and technology principle discussions: region 1 is North America (the U.S. and Canada), region 2 is Europe (the U.K. and the E.U.), and region 3 is East Asia (China, Japan, and South Korea). These three regions produced 89.36% (about 90%) of the AI principle declarations. This geographical bias implies biases of coded values. Since participation itself is notably correlated to educational, economic, and technological backgrounds, further developments based on AI principles might underrepresent technically developing countries’ viewpoints.

Publisher

iSchools

Type of Resource

Other

Language

eng

Permalink

http://hdl.handle.net/2142/113756

Copyright and License Information

Copyright 2022 is held by Minseok Jung and Madelyn Rose Sanfilippo. Copyright permissions, when appropriate, must be obtained directly from the authors.

Owning Collections