# Thinking Through and Writing About Research Ethics Beyond "Broader Impact"

arXiv: https://arxiv.org/abs/2104.08205 · HTML: https://mlsanity.com/paper/2104.08205/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Apr 2021.

## Built on by (most cited first, 3 of 3)

- [Farsight: Fostering Responsible AI Awareness During AI Application Prototyping](https://mlsanity.com/paper/2402.15350/) (2024)
- [Face, Body, Voice: Video Person-Clustering with Multiple Modalities](https://mlsanity.com/paper/2105.09939/) (2021)
- [REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research](https://mlsanity.com/paper/2205.08363/) (2022)

## Abstract (arXiv)

In March 2021, we held the first instalment of the tutorial on thinking through and writing about research ethics beyond 'Broader Impact' in conjunction with the ACM Conference on Fairness, Accountability, and Transparency (FAccT '21). The goal of this tutorial was to offer a conceptual and practical starting point for engineers and social scientists interested in thinking more expansively, holistically, and critically about research ethics. This report provides an outline of the tutorial, and contains our 'lifecourse checklist'. This was presented as part of the tutorial, and provides a practical starting point for researchers when thinking about research ethics before a project's start. We provide this to the research community, with the hope that researchers use it when considering the ethics of their research.