Minds and Machines· 2020Q1
The Ethics of AI Ethics: An Evaluation of Guidelines
- 1,657citations
- Q1SCImago
- 2020year
Short summary
An analysis of 22 AI ethics guidelines reveals significant overlap in normative principles but also critical omissions, questioning their practical implementation and effectiveness.
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Key points
- Analyzes and compares 22 AI ethics guidelines.
- Identifies overlaps and omissions in normative principles across guidelines.
- Examines the practical implementation of AI ethics principles in research and development.
- Proposes methods to improve the effectiveness of AI ethics demands.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. Minds and Machines, 2020 · DOI ↗
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