# AI Ethics in Industry: A Research Framework

arXiv: https://arxiv.org/abs/1910.12695 · HTML: https://mlsanity.com/paper/1910.12695/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Oct 2019.

## Built on by (most cited first, 2 of 2)

- [Ethics of AI: A Systematic Literature Review of Principles and Challenges](https://mlsanity.com/paper/2109.07906/) (2021)
- [AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps](https://mlsanity.com/paper/2403.14681/) (2024)

## Abstract (arXiv)

Artificial Intelligence (AI) systems exert a growing influence on our society. As they become more ubiquitous, their potential negative impacts also become evident through various real-world incidents. Following such early incidents, academic and public discussion on AI ethics has highlighted the need for implementing ethics in AI system development. However, little currently exists in the way of frameworks for understanding the practical implementation of AI ethics. In this paper, we discuss a research framework for implementing AI ethics in industrial settings. The framework presents a starting point for empirical studies into AI ethics but is still being developed further based on its practical utilization.