The Ethics of AI Ethics: An Evaluation of Guidelines

Этика этики искусственного интеллекта: оценка руководящих принципов
Thilo Hagendorff
2020-02-01

AI ethicsAI systemsethical principlesethics guidelinessemi-systematic evaluation
Abstract Current advances in research, development and application of artificial intelligence (AI) systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the “disruptive” potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions. As a result, I give a detailed overview of the field of AI ethics. Finally, I also examine to what extent the respective ethical principles and values are implemented in the practice of research, development and application of AI systems—and how the effectiveness in the demands of AI ethics can be improved.
1
It proposes improving the effectiveness of AI ethics demands by addressing gaps between guidelines and practical implementation.
2
The analyzed guidelines show substantial overlap in their normative principles and recommendations.
3
The evaluation identifies omissions and gaps across existing AI ethics guidelines.
4
The paper assesses how extensively stated ethical principles and values are implemented in AI research, development, and application.
5
The paper conducts a semi-systematic comparative evaluation of 22 AI ethics guidelines.

AI ethics guidelines (the set of 22 analyzed documents)

Their normative principles, recommendations, overlaps, omissions, and implementation effectiveness in AI research, development, and application

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2020-02-01
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Thilo Hagendorff
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