Toward Fair, Accountable, and Transparent Algorithms: Case Studies on Algorithm Initiatives in Korea and China

Donghee Shin

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Ethics and Social Impacts of AI Digitalization, Law, and Regulation E-Government and Public Services

Abstract

Algorithms are playing an increasingly huge role becoming a big part of human lives. With the conceptualisation of algorithms as a socio-technical system, this study investigates algorithm initiatives in Korea and China in terms of the opportunities, risks, and challenges embedded in their development. This study analyses algorithm development and trends from a critical socio-technical lens: social, technological, cultural, and industrial phenomena that represent strategic interactions involving people, technology, and society and elicit sensitive legal, cultural, and ethical rhetoric issues. Despite rosy predictions and proactive drives, new risks related to privacy, transparency, and fairness emerge as critical concerns of the social ramifications of algorithms and of their impacts on the new information milieu. With these emerging issues, questions are raised on the ways to govern algorithms and to respond to potential outcomes that such a policy approach may have on society and industry. Both Korea and China will likely struggle with the social cost of AI as it challenges what it means to be fair, transparent, and accountable. The socio-political implications of algorithms are discussed to identify key issues as both countries progress toward an algorithm-based, AI-driven society.

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References

2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms 2017European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability 2016Thinking critically about and researching algorithms 2016The social power of algorithms 2016Accountability in algorithmic decision making 2019AI super-powers: China, Silicon Valley and the new world order 2015Governing Algorithms

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