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The Values Encoded in Machine Learning Research
v1v2 (latest)

The Values Encoded in Machine Learning Research

Conference on Fairness, Accountability and Transparency (FAccT), 2021
29 June 2021
Abeba Birhane
Pratyusha Kalluri
Dallas Card
William Agnew
Ravit Dotan
Michelle Bao
ArXiv (abs)PDFHTML

Papers citing "The Values Encoded in Machine Learning Research"

50 / 142 papers shown
From Symptoms to Systems: An Expert-Guided Approach to Understanding Risks of Generative AI for Eating Disorders
From Symptoms to Systems: An Expert-Guided Approach to Understanding Risks of Generative AI for Eating Disorders
Amy Winecoff
Kevin Klyman
102
0
0
04 Dec 2025
Irresponsible AI: big tech's influence on AI research and associated impacts
Irresponsible AI: big tech's influence on AI research and associated impacts
Alex Hernandez-Garcia
Alexandra Volokhova
Ezekiel Williams
Dounia Shaaban Kabakibo
60
0
0
27 Nov 2025
Attention to Non-Adopters
Attention to Non-Adopters
Kaitlyn Zhou
Kristina Gligorić
Myra Cheng
Michelle S. Lam
Vyoma Raman
Boluwatife Aminu
Caeley Woo
Michael Brockman
Hannah Cha
Dan Jurafsky
102
1
0
10 Oct 2025
Intuitions of Machine Learning Researchers about Transfer Learning for Medical Image Classification
Intuitions of Machine Learning Researchers about Transfer Learning for Medical Image Classification
Yucheng Lu
Hubert Dariusz Zając
Veronika Cheplygina
Amelia Jiménez-Sánchez
92
0
0
01 Oct 2025
Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements
Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements
Raphael Fischer
158
4
0
26 Sep 2025
HICode: Hierarchical Inductive Coding with LLMs
HICode: Hierarchical Inductive Coding with LLMs
Mian Zhong
Pristina Wang
Anjalie Field
157
3
0
22 Sep 2025
Red Teaming Multimodal Language Models: Evaluating Harm Across Prompt Modalities and Models
Red Teaming Multimodal Language Models: Evaluating Harm Across Prompt Modalities and Models
Madison Van Doren
Casey Ford
153
0
0
18 Sep 2025
Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
Jacob Beck
Stephanie Eckman
Christoph Kern
Frauke Kreuter
HAI
104
3
0
10 Sep 2025
RelAItionship Building: Analyzing Recruitment Strategies for Participatory AI
RelAItionship Building: Analyzing Recruitment Strategies for Participatory AI
Eugene Kim
Vaibhav Balloli
Berelian Karimian
Elizabeth Bondi-Kelly
Benjamin Fish
99
0
0
27 Aug 2025
A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset
A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset
Rachel Hong
Jevan Hutson
William Agnew
Imaad Huda
Tadayoshi Kohno
Jamie Morgenstern
AILaw
376
3
0
20 Jun 2025
Finance Language Model Evaluation (FLaME)
Finance Language Model Evaluation (FLaME)
Glenn Matlin
Mika Okamoto
Huzaifa Pardawala
Yang Yang
Sudheer Chava
AIFinLRM
194
1
0
18 Jun 2025
Research Borderlands: Analysing Writing Across Research Cultures
Research Borderlands: Analysing Writing Across Research CulturesAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Shaily Bhatt
Tal August
Maria Antoniak
370
1
0
01 Jun 2025
Social Good or Scientific Curiosity? Uncovering the Research Framing Behind NLP Artefacts
Social Good or Scientific Curiosity? Uncovering the Research Framing Behind NLP Artefacts
Eric Chamoun
N. Ousidhoum
Michael Schlichtkrull
Andreas Vlachos
233
0
0
24 May 2025
Social Bias in Popular Question-Answering Benchmarks
Social Bias in Popular Question-Answering Benchmarks
Angelie Kraft
Judith Simon
Sonja Schimmler
446
3
0
21 May 2025
Healthy Distrust in AI systems
Healthy Distrust in AI systems
Benjamin Paaßen
Suzana Alpsancar
Tobias Matzner
Ingrid Scharlau
156
1
0
14 May 2025
Identities are not Interchangeable: The Problem of Overgeneralization in Fair Machine Learning
Identities are not Interchangeable: The Problem of Overgeneralization in Fair Machine LearningConference on Fairness, Accountability and Transparency (FAccT), 2025
Angelina Wang
FaML
308
3
0
07 May 2025
Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage Professionals
Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage ProfessionalsInternational Conference on Human Factors in Computing Systems (CHI), 2025
Lucy Havens
Benjamin Bach
Melissa Mhairi Terras
Beatrice Alex
305
2
0
01 Apr 2025
The Case for "Thick Evaluations" of Cultural Representation in AI
The Case for "Thick Evaluations" of Cultural Representation in AI
Rida Qadri
Mark Díaz
Ding Wang
Michael Madaio
250
13
0
24 Mar 2025
Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participation
Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and ParticipationConference on Fairness, Accountability and Transparency (FAccT), 2025
Ben Hutchinson
Celeste Rodríguez Louro
Glenys Collard
Ned Cooper
491
0
0
05 Mar 2025
Automatic Detection of Research Values from Scientific Abstracts Across Computer Science Subfields
Automatic Detection of Research Values from Scientific Abstracts Across Computer Science Subfields
Hang Jiang
Tal August
Luca Soldaini
Kyle Lo
Maria Antoniak
294
1
0
23 Feb 2025
Interrogating LLM design under a fair learning doctrine
Interrogating LLM design under a fair learning doctrine
Johnny Tian-Zheng Wei
Maggie Wang
Ameya Godbole
Jonathan H. Choi
Robin Jia
299
0
0
22 Feb 2025
Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development
Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development
Raphael Fischer
Magdalena Wischnewski
Alexander van der Staay
Katharina Poitz
Christian Janiesch
Thomas Liebig
264
1
0
21 Jan 2025
Episodic memory in AI agents poses risks that should be studied and mitigated
Episodic memory in AI agents poses risks that should be studied and mitigated
Chad DeChant
466
5
0
20 Jan 2025
Generative Adversarial Reviews: When LLMs Become the Critic
Generative Adversarial Reviews: When LLMs Become the Critic
Nicolas Bougie
Narimasa Watanabe
348
8
0
09 Dec 2024
Value Imprint: A Technique for Auditing the Human Values Embedded in
  RLHF Datasets
Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF DatasetsNeural Information Processing Systems (NeurIPS), 2024
Ike Obi
Rohan Pant
Srishti Shekhar Agrawal
Maham Ghazanfar
Aaron Basiletti
233
9
0
18 Nov 2024
Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics
  Statements
Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics StatementsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Antonia Karamolegkou
Sandrine Schiller Hansen
Ariadni Christopoulou
Filippos Stamatiou
Anne Lauscher
Anders Søgaard
170
0
0
12 Nov 2024
What Makes An Expert? Reviewing How ML Researchers Define "Expert"
What Makes An Expert? Reviewing How ML Researchers Define "Expert"AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
Mark Díaz
Angela D. R. Smith
221
7
0
31 Oct 2024
Benchmark Data Repositories for Better Benchmarking
Benchmark Data Repositories for Better BenchmarkingNeural Information Processing Systems (NeurIPS), 2024
Rachel Longjohn
Markelle Kelly
Sameer Singh
Padhraic Smyth
257
10
0
31 Oct 2024
Troubling Taxonomies in GenAI Evaluation
Troubling Taxonomies in GenAI Evaluation
Glen Berman
Ned Cooper
Wesley Hanwen Deng
Ben Hutchinson
189
1
0
30 Oct 2024
From Silos to Systems: Process-Oriented Hazard Analysis for AI Systems
From Silos to Systems: Process-Oriented Hazard Analysis for AI Systems
Shalaleh Rismani
Roel Dobbe
AJung Moon
231
7
0
29 Oct 2024
Revisiting Technical Bias Mitigation Strategies
Revisiting Technical Bias Mitigation StrategiesAnnual Review of Biomedical Data Science (ARBDS), 2024
Abdoul Jalil Djiberou Mahamadou
Artem A. Trotsyuk
328
2
0
22 Oct 2024
Ethics Whitepaper: Whitepaper on Ethical Research into Large Language
  Models
Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models
Eddie L. Ungless
Nikolas Vitsakis
Zeerak Talat
James Garforth
Bjorn Ross
Arno Onken
Atoosa Kasirzadeh
Alexandra Birch
265
3
0
17 Oct 2024
Sound Check: Auditing Audio Datasets
Sound Check: Auditing Audio Datasets
William Agnew
Julia Barnett
Annie Chu
Rachel Hong
Michael Feffer
Robin Netzorg
Harry H. Jiang
Ezra Awumey
Sauvik Das
361
2
0
17 Oct 2024
Exposing Assumptions in AI Benchmarks through Cognitive Modelling
Exposing Assumptions in AI Benchmarks through Cognitive Modelling
Jonathan H. Rystrøm
Kenneth C. Enevoldsen
189
0
0
25 Sep 2024
A quest through interconnected datasets: lessons from highly-cited
  ICASSP papers
A quest through interconnected datasets: lessons from highly-cited ICASSP papersInternational Conference on Content-Based Multimedia Indexing (CBMI), 2024
Cynthia C. S. Liem
Doğa Taşcılar
Andrew M. Demetriou
195
0
0
19 Sep 2024
Report Cards: Qualitative Evaluation of Language Models Using Natural
  Language Summaries
Report Cards: Qualitative Evaluation of Language Models Using Natural Language Summaries
Blair Yang
Fuyang Cui
Keiran Paster
Jimmy Ba
Pashootan Vaezipoor
Silviu Pitis
Michael Ruogu Zhang
246
5
0
01 Sep 2024
On Tables with Numbers, with Numbers
On Tables with Numbers, with Numbers
Konstantinos Kogkalidis
S. Chatzikyriakidis
LMTD
422
3
0
12 Aug 2024
The Implications of Open Generative Models in Human-Centered Data
  Science Work: A Case Study with Fact-Checking Organizations
The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking OrganizationsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
Robert Wolfe
Tanushree Mitra
334
3
0
04 Aug 2024
Surveys Considered Harmful? Reflecting on the Use of Surveys in AI
  Research, Development, and Governance
Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance
Mohammmad Tahaei
Daricia Wilkinson
Alisa Frik
Chi Lok Yu
Ruba Abu-Salma
Lauren Wilcox
221
5
0
26 Jul 2024
Articulation Work and Tinkering for Fairness in Machine Learning
Articulation Work and Tinkering for Fairness in Machine Learning
Miriam Fahimi
Mayra Russo
Kristen M. Scott
Maria-Esther Vidal
Bettina Berendt
K. Kinder-Kurlanda
FaML
185
3
0
23 Jul 2024
Large Models of What? Mistaking Engineering Achievements for Human
  Linguistic Agency
Large Models of What? Mistaking Engineering Achievements for Human Linguistic Agency
Abeba Birhane
Marek McGann
178
22
0
11 Jul 2024
Position: Measure Dataset Diversity, Don't Just Claim It
Position: Measure Dataset Diversity, Don't Just Claim It
Dora Zhao
Jerone T. A. Andrews
Orestis Papakyriakopoulos
Alice Xiang
283
31
0
11 Jul 2024
Collective Constitutional AI: Aligning a Language Model with Public
  Input
Collective Constitutional AI: Aligning a Language Model with Public Input
Saffron Huang
Divya Siddarth
Liane Lovitt
Thomas I. Liao
Esin Durmus
Alex Tamkin
Deep Ganguli
ELM
338
135
0
12 Jun 2024
Just Because We Camp, Doesn't Mean We Should: The Ethics of Modelling
  Queer Voices
Just Because We Camp, Doesn't Mean We Should: The Ethics of Modelling Queer Voices
A. Sigurgeirsson
Eddie L. Ungless
276
3
0
11 Jun 2024
A Taxonomy of Challenges to Curating Fair Datasets
A Taxonomy of Challenges to Curating Fair Datasets
Dora Zhao
M. Scheuerman
Pooja Chitre
Jerone T. A. Andrews
Georgia Panagiotidou
Shawn Walker
Kathleen H. Pine
Alice Xiang
277
4
0
10 Jun 2024
Stop! In the Name of Flaws: Disentangling Personal Names and
  Sociodemographic Attributes in NLP
Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP
Vagrant Gautam
Arjun Subramonian
Anne Lauscher
O. Keyes
241
18
0
27 May 2024
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT
  Even in Low-Resource Settings
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings
Robert Wolfe
Isaac Slaughter
Bin Han
Bingbing Wen
Yiwei Yang
...
Bernease Herman
E. Brown
Zening Qu
Nicholas Weber
Bill Howe
298
11
0
27 May 2024
The Impact and Opportunities of Generative AI in Fact-Checking
The Impact and Opportunities of Generative AI in Fact-Checking
Robert Wolfe
Tanushree Mitra
283
29
0
24 May 2024
Sociotechnical Implications of Generative Artificial Intelligence for
  Information Access
Sociotechnical Implications of Generative Artificial Intelligence for Information Access
Bhaskar Mitra
Henriette Cramer
Olya Gurevich
297
10
0
19 May 2024
Who's in and who's out? A case study of multimodal CLIP-filtering in
  DataComp
Who's in and who's out? A case study of multimodal CLIP-filtering in DataCompConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2024
Rachel Hong
William Agnew
Tadayoshi Kohno
Jamie Morgenstern
337
20
0
13 May 2024
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