The Key Concepts of Ethics of Artificial Intelligence - A Keyword based Systematic Mapping Study

TL;DR

This paper conducts a systematic mapping study to identify key concepts and keywords in AI ethics literature, aiming to guide future research and practical implementation of ethical principles in AI systems.

Contribution

It introduces a keyword-based systematic mapping approach to identify main concepts in AI ethics, providing a foundation for future conceptual and practical developments.

Findings

Identified 37 recurring keywords in 83 papers

Mapped the main concepts used in AI ethics discourse

Provided a structured overview of AI ethics literature

Abstract

The growing influence and decision-making capacities of Autonomous systems and Artificial Intelligence in our lives force us to consider the values embedded in these systems. But how ethics should be implemented into these systems? In this study, the solution is seen on philosophical conceptualization as a framework to form practical implementation model for ethics of AI. To take the first steps on conceptualization main concepts used on the field needs to be identified. A keyword based Systematic Mapping Study (SMS) on the keywords used in AI and ethics was conducted to help in identifying, defying and comparing main concepts used in current AI ethics discourse. Out of 1062 papers retrieved SMS discovered 37 re-occurring keywords in 83 academic papers. We suggest that the focus on finding keywords is the first step in guiding and providing direction for future research in the AI ethics field.