# The Ethics of AI Ethics -- An Evaluation of Guidelines

## TL;DR

This paper critically evaluates various AI ethics guidelines, comparing their principles and assessing their practical implementation to identify gaps and suggest improvements for aligning AI development with ethical standards.

## Contribution

It provides a comprehensive analysis of existing AI ethics guidelines, highlighting overlaps, omissions, and evaluating their real-world application and effectiveness.

## Key findings

- Identifies common principles across guidelines
- Highlights gaps and omissions in current standards
- Assesses implementation and suggests improvements

## 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 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.

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Source: https://tomesphere.com/paper/1903.03425