---
title: "FAccT 2022 — accepted papers — Elamur Research"
description: "FAccT 2022 — accepted papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/2022/"
---
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[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [FAccT](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/) / 2022

# FAccT 2022 — accepted papers

FAccT 2022 is the 2022 edition of the ACM Conference on Fairness, Accountability, and Transparency (FAccT). OpenAlex lists 181 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**181** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/2022/#works) · [**268** citations of these works](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/2022/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[Taxonomy of Risks posed by Language Models ↗](https://doi.org/10.1145/3531146.3533088)**Laura Weidinger, Jonathan Uesato, Maribeth Rauh et al.*713 citations*
2. **[A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods ↗](https://doi.org/10.1145/3531146.3534639)**Timo Speith*337 citations*
3. **[The Values Encoded in Machine Learning Research ↗](https://doi.org/10.1145/3531146.3533083)**Abeba Birhane, Pratyusha Kalluri, Dallas Card et al.*304 citations*
4. **[The Fallacy of AI Functionality ↗](https://doi.org/10.1145/3531146.3533158)**Inioluwa Deborah Raji, I. Elizabeth Kumar, Aaron Horowitz et al.*239 citations*
5. **[Measuring the Carbon Intensity of AI in Cloud Instances ↗](https://doi.org/10.1145/3531146.3533234)**Jesse Dodge, Taylor Prewitt, Rémi Tachet des Combes et al.*234 citations*
6. **[Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI ↗](https://doi.org/10.1145/3531146.3533231)**Mahima Pushkarna, Andrew Zaldivar, Oddur Kjartansson*222 citations*
7. **[Predictability and Surprise in Large Generative Models](https://md.research.elamur.ai/free/en/papers/ganguli-2022-predictability-surprise-large-generative-models/)**Deep Ganguli, Danny Hernandez, Liane Lovitt et al.*198 citations · our summary*
8. **[Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem ↗](https://doi.org/10.1145/3531146.3533213)**Sasha Costanza‐Chock, Inioluwa Deborah Raji, Joy Buolamwini*192 citations*
9. **[Designing for Responsible Trust in AI Systems: A Communication Perspective ↗](https://doi.org/10.1145/3531146.3533182)**Q. Vera Liao, S. Shyam Sundar*158 citations*
10. **[What Does it Mean for a Language Model to Preserve Privacy? ↗](https://doi.org/10.1145/3531146.3534642)**Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah et al.*158 citations*

## All accepted papers (181)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[Taxonomy of Risks posed by Language Models ↗](https://doi.org/10.1145/3531146.3533088)**Laura Weidinger, Jonathan Uesato, Maribeth Rauh et al.*713 citations*
2. **[A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods ↗](https://doi.org/10.1145/3531146.3534639)**Timo Speith*337 citations*
3. **[The Values Encoded in Machine Learning Research ↗](https://doi.org/10.1145/3531146.3533083)**Abeba Birhane, Pratyusha Kalluri, Dallas Card et al.*304 citations*
4. **[The Fallacy of AI Functionality ↗](https://doi.org/10.1145/3531146.3533158)**Inioluwa Deborah Raji, I. Elizabeth Kumar, Aaron Horowitz et al.*239 citations*
5. **[Measuring the Carbon Intensity of AI in Cloud Instances ↗](https://doi.org/10.1145/3531146.3533234)**Jesse Dodge, Taylor Prewitt, Rémi Tachet des Combes et al.*234 citations*
6. **[Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI ↗](https://doi.org/10.1145/3531146.3533231)**Mahima Pushkarna, Andrew Zaldivar, Oddur Kjartansson*222 citations*
7. **[Predictability and Surprise in Large Generative Models](https://md.research.elamur.ai/free/en/papers/ganguli-2022-predictability-surprise-large-generative-models/)**Deep Ganguli, Danny Hernandez, Liane Lovitt et al.*198 citations · our summary*
8. **[Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem ↗](https://doi.org/10.1145/3531146.3533213)**Sasha Costanza‐Chock, Inioluwa Deborah Raji, Joy Buolamwini*192 citations*
9. **[Designing for Responsible Trust in AI Systems: A Communication Perspective ↗](https://doi.org/10.1145/3531146.3533182)**Q. Vera Liao, S. Shyam Sundar*158 citations*
10. **[What Does it Mean for a Language Model to Preserve Privacy? ↗](https://doi.org/10.1145/3531146.3534642)**Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah et al.*158 citations*
11. **[How Explainability Contributes to Trust in AI ↗](https://doi.org/10.1145/3531146.3533202)**Andrea Ferrario, Michele Loi*153 citations*
12. **[Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash ↗](https://doi.org/10.1145/3531146.3533073)**Lukas Struppek, Dominik Hintersdorf, Daniel Neider et al.*148 citations*
13. **[Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning ↗](https://doi.org/10.1145/3531146.3533150)**A. Feder Cooper, Emanuel Moss, Benjamin Laufer et al.*129 citations*
14. **[The Forgotten Margins of AI Ethics ↗](https://doi.org/10.1145/3531146.3533157)**Abeba Birhane, Elayne Ruane, Thomas Laurent et al.*122 citations*
15. **[News from Generative Artificial Intelligence Is Believed Less ↗](https://doi.org/10.1145/3531146.3533077)**Chiara Longoni, Andrey Fradkin, Luca Cian et al.*120 citations*
16. **[How Different Groups Prioritize Ethical Values for Responsible AI ↗](https://doi.org/10.1145/3531146.3533097)**Maurice Jakesch, Zana Buçinca, Saleema Amershi et al.*112 citations*
17. **[Interactive Model Cards: A Human-Centered Approach to Model Documentation ↗](https://doi.org/10.1145/3531146.3533108)**Anamaria Crisan, Margaret Drouhard, Jesse Vig et al.*101 citations*
18. **[Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging ↗](https://doi.org/10.1145/3531146.3533193)**Riccardo Fogliato, Shreya Chappidi, Matthew P. Lungren et al.*100 citations*
19. **[Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits ↗](https://doi.org/10.1145/3531146.3533113)**Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee et al.*96 citations*
20. **[It’s Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy ↗](https://doi.org/10.1145/3531146.3533090)**Andrew S Bell, Ian René Solano-Kamaiko, Oded Nov et al.*92 citations*
21. **[Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation ↗](https://doi.org/10.1145/3531146.3533101)**Angelina Wang, V. Ramaswamy, Olga Russakovsky*87 citations*
22. **[At the Tensions of South and North: Critical Roles of Global South Stakeholders in AI Governance ↗](https://doi.org/10.1145/3531146.3533200)**Marie-Thérèse Png*85 citations*
23. **[Goodbye Tracking? Impact of iOS App Tracking Transparency and Privacy Labels ↗](https://doi.org/10.1145/3531146.3533116)**Konrad Kollnig, Anastasia Shuba, Max G. Van Kleek et al.*85 citations*
24. **[Model Multiplicity: Opportunities, Concerns, and Solutions ↗](https://doi.org/10.1145/3531146.3533149)**Emily Black, Manish Raghavan, Solon Barocas*80 citations*
25. **[On the Existence of Simpler Machine Learning Models ↗](https://doi.org/10.1145/3531146.3533232)**Lesia Semenova, Cynthia D Rudin, Ronald Parr*80 citations*

[See all 181 papers in FAccT 2022 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/2022/papers/)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[Predictability and Surprise in Large Generative Models](https://md.research.elamur.ai/free/en/papers/ganguli-2022-predictability-surprise-large-generative-models/) [ACM Conference on Fairness, Accountability, and Transparency (FAccT)](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/)**Deep Ganguli, Danny Hernandez, Liane Lovitt, et al.*2022 · 268 citations*

## Fields

[Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences (1)](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Amanda Askell**1 work here · 268 citations](https://md.research.elamur.ai/free/en/authors/amanda-askell/) · [🧑‍🔬**Andy Jones**1 work here · 268 citations](https://md.research.elamur.ai/free/en/authors/andy-jones/) · [🧑‍🔬**Anna Chen**1 work here · 268 citations](https://md.research.elamur.ai/free/en/authors/anna-chen/) · [🧑‍🔬**Ben Mann**1 work here · 268 citations](https://md.research.elamur.ai/free/en/authors/ben-mann/) · [🧑‍🔬**Danny Hernandez**1 work here · 268 citations](https://md.research.elamur.ai/free/en/authors/danny-hernandez/) · [🧑‍🔬**Deep Ganguli**1 work here · 268 citations](https://md.research.elamur.ai/free/en/authors/deep-ganguli/) · [🧑‍🔬**Jackson Kernion**1 work here · 268 citations](https://md.research.elamur.ai/free/en/authors/jackson-kernion/) · [🧑‍🔬**Liane Lovitt**1 work here · 268 citations](https://md.research.elamur.ai/free/en/authors/liane-lovitt/) · [🧑‍🔬**Nicholas Joseph**1 work here · 268 citations](https://md.research.elamur.ai/free/en/authors/nicholas-joseph/) · [🧑‍🔬**Nova DasSarma**1 work here · 268 citations](https://md.research.elamur.ai/free/en/authors/nova-dassarma/) · [🧑‍🔬**Tom Henighan**1 work here · 268 citations](https://md.research.elamur.ai/free/en/authors/tom-henighan/) · [🧑‍🔬**Yuntao Bai**1 work here · 268 citations](https://md.research.elamur.ai/free/en/authors/yuntao-bai/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🏢**Anthropic** San Francisco · United States 1 work here](https://md.research.elamur.ai/free/en/companies/anthropic/)

works and citations from OpenAlex and our library.

- [next → FAccT 2025](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/2025/)
- [↑ back to FAccT](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/)