# Responsible AI Research Needs Impact Statements Too

arXiv: https://arxiv.org/abs/2311.11776 · HTML: https://mlsanity.com/paper/2311.11776/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- Builds on 17 of its 44 references that are in the map.
- First posted on arXiv 20 Nov 2023.

## Builds on (most cited first, 17 of 17)

- [Measurement and Fairness](https://mlsanity.com/paper/1912.05511/) (2019)
- [The Fallacy of AI Functionality](https://mlsanity.com/paper/2206.09511/) (2022)
- [Roles for Computing in Social Change](https://mlsanity.com/paper/1912.04883/) (2019)
- [How Different Groups Prioritize Ethical Values for Responsible AI](https://mlsanity.com/paper/2205.07722/) (2022)
- [Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications](https://mlsanity.com/paper/2205.06828/) (2022)
- [The Forgotten Margins of AI Ethics](https://mlsanity.com/paper/2205.04221/) (2022)
- [Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics](https://mlsanity.com/paper/2202.08792/) (2022)
- [WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?](https://mlsanity.com/paper/2305.06415/) (2023)
- [AHA!: Facilitating AI Impact Assessment by Generating Examples of Harms](https://mlsanity.com/paper/2306.03280/) (2023)
- [Unpacking the Expressed Consequences of AI Research in Broader Impact Statements](https://mlsanity.com/paper/2105.04760/) (2021)
- [Institutionalising Ethics in AI through Broader Impact Requirements](https://mlsanity.com/paper/2106.11039/) (2021)
- [REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research](https://mlsanity.com/paper/2205.08363/) (2022)
- [AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statements](https://mlsanity.com/paper/2111.01705/) (2021)
- [A Mulching Proposal](https://mlsanity.com/paper/1908.06166/) (2019)
- [Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs](https://mlsanity.com/paper/2305.09573/) (2023)
- [It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process](https://mlsanity.com/paper/2112.09544/) (2021)
- [Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access](https://mlsanity.com/paper/2301.04780/) (2023)

## Built on by (most cited first, 7 of 7)

- [The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing](https://mlsanity.com/paper/2407.07786/) (2024)
- ["I Am the One and Only, Your Cyber BFF": Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AI](https://mlsanity.com/paper/2410.08526/) (2024)
- [Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor](https://mlsanity.com/paper/2506.14652/) (2025)
- [Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaboration](https://mlsanity.com/paper/2509.10652/) (2025)
- [WEIRD ICWSM: How Western, Educated, Industrialized, Rich, and Democratic is Social Computing Research?](https://mlsanity.com/paper/2406.02090/) (2024)
- [15 Years of Augmented Human(s) Research: Where Do We Stand?](https://mlsanity.com/paper/2604.03715/) (2026)
- [Abstracted Away: Resisting Alienation and Ungrounded Abstraction in AI Research Communities](https://mlsanity.com/paper/2608.08408/) (2026)

## Abstract (arXiv)

All types of research, development, and policy work can have unintended, adverse consequences - work in responsible artificial intelligence (RAI), ethical AI, or ethics in AI is no exception.