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Artificial intelligence and social responsibility: the case of the artificial intelligence strategies in the United States, Russia, and China

Anton Saveliev (Philosophy of science and technology, Institute of Philosophy, Russian Academy of Sciences, Moscow, Russian Federation)
Denis Zhurenkov (Philosophy of science and technology, Institute of Philosophy, Russian Academy of Sciences, Moscow, Russian Federation)

Kybernetes

ISSN: 0368-492X

Article publication date: 4 December 2020

Issue publication date: 27 March 2021

1636

Abstract

Purpose

The purpose of this paper is to review and analyze how the development and utilization of artificial intelligence (AI) technologies for social responsibility are defined in the national AI strategies of the USA, Russia and China.

Design/methodology/approach

The notion of responsibility concerning AI is currently not legally defined by any country in the world. The authors of this research are going to use the methodology, based on Luciano Floridi’s Unified framework of five principles for AI in society, to determine how social responsibility is implemented in the AI strategies of the USA, Russia and China.

Findings

All three strategies for the development of AI in the USA, Russia and China, as evaluated in the paper, contain some or other components aimed at achieving public responsibility and responsible use of AI. The Unified framework of five principles for AI in society, developed by L. Floridi, can be used as a viable assessment tool to determine at least in general terms how social responsibility is implied and implemented in national strategic documents in the field of AI. However, authors of the paper call for further development in the field of mutually recognizable ethical models for socially beneficial AI.

Practical implications

This study allows us to better understand the linkages, overlaps and differences between modern philosophy of information, AI-ethics, social responsibility and government regulation. The analysis provided in this paper can serve as a basic blueprint for future attempts to define how social responsibility is understood and implied by government decision-makers.

Originality/value

The analysis provided in the paper, however general and empirical it may be, is a first-time example of how the Unified framework of five principles for AI in society can be applied as an assessment tool to determine social responsibility in AI-related official documents.

Keywords

Acknowledgements

The Authors would like to thank Dr. Igor Perko, Dr. Francesco Caputo and Dr. Teodora Ivanusa for their helpful advice on various technical and philosophical issues, examined in this paper. The Authors, however, bear full responsibility for the Paper.

Citation

Saveliev, A. and Zhurenkov, D. (2021), "Artificial intelligence and social responsibility: the case of the artificial intelligence strategies in the United States, Russia, and China", Kybernetes, Vol. 50 No. 3, pp. 656-675. https://doi.org/10.1108/K-01-2020-0060

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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