# Principled Frameworks for Evaluating Ethics in NLP Systems

arXiv: https://arxiv.org/abs/1906.06425 · HTML: https://mlsanity.com/paper/1906.06425/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Jun 2019.

## Built on by (most cited first, 1 of 1)

- [Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practices](https://mlsanity.com/paper/2106.01105/) (2021)

## Abstract (arXiv)

We critique recent work on ethics in natural language processing. Those discussions have focused on data collection, experimental design, and interventions in modeling. But we argue that we ought to first understand the frameworks of ethics that are being used to evaluate the fairness and justice of algorithmic systems. Here, we begin that discussion by outlining deontological ethics, and envision a research agenda prioritized by it.
