The Ethics of AI Ethics -- An Evaluation of Guidelines
This work addresses the gap between theoretical AI ethics guidelines and their practical implementation for researchers, developers, and policymakers.
The paper analyzes and compares existing AI ethics guidelines to identify overlaps and omissions, providing a comprehensive overview of the field and examining how effectively ethical principles are implemented in AI practice.
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 comprehensive evaluation, this paper analyzes and compares these 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.