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The Values Encoded in Machine Learning Research

The Values Encoded in Machine Learning Research

29 June 2021
Abeba Birhane
Pratyusha Kalluri
Dallas Card
William Agnew
Ravit Dotan
Michelle Bao
ArXivPDFHTML

Papers citing "The Values Encoded in Machine Learning Research"

50 / 127 papers shown
Title
Healthy Distrust in AI systems
Healthy Distrust in AI systems
Benjamin Paaßen
Suzana Alpsancar
Tobias Matzner
Ingrid Scharlau
17
0
0
14 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 Professionals
Lucy Havens
Benjamin Bach
Melissa Mhairi Terras
Beatrice Alex
44
0
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
41
2
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 Participation
Ben Hutchinson
Celeste Rodríguez Louro
Glenys Collard
Ned Cooper
57
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
41
0
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
27
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
50
0
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
57
2
0
20 Jan 2025
Generative Adversarial Reviews: When LLMs Become the Critic
Generative Adversarial Reviews: When LLMs Become the Critic
Nicolas Bougie
Narimasa Watanabe
74
2
0
09 Dec 2024
Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics
  Statements
Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics Statements
Antonia Karamolegkou
Sandrine Schiller Hansen
Ariadni Christopoulou
Filippos Stamatiou
Anne Lauscher
Anders Søgaard
31
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"
Mark Díaz
Angela D. R. Smith
21
1
0
31 Oct 2024
Benchmark Data Repositories for Better Benchmarking
Benchmark Data Repositories for Better Benchmarking
Rachel Longjohn
Markelle Kelly
Sameer Singh
Padhraic Smyth
41
0
0
31 Oct 2024
Troubling Taxonomies in GenAI Evaluation
Troubling Taxonomies in GenAI Evaluation
Glen Berman
Ned Cooper
Wesley Hanwen Deng
Ben Hutchinson
41
0
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
24
1
0
29 Oct 2024
Revisiting Technical Bias Mitigation Strategies
Revisiting Technical Bias Mitigation Strategies
Abdoul Jalil Djiberou Mahamadou
Artem A. Trotsyuk
26
0
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
28
1
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
39
1
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
32
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 papers
Cynthia C. S. Liem
Doğa Taşcılar
Andrew M. Demetriou
17
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
18
1
0
01 Sep 2024
On Tables with Numbers, with Numbers
On Tables with Numbers, with Numbers
Konstantinos Kogkalidis
S. Chatzikyriakidis
LMTD
24
0
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 Organizations
Robert Wolfe
Tanushree Mitra
38
1
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
38
3
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
16
0
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
16
7
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
64
14
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
59
70
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
31
2
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
39
2
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
32
6
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
27
4
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
32
13
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
42
2
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 DataComp
Rachel Hong
William Agnew
Tadayoshi Kohno
Jamie Morgenstern
27
9
0
13 May 2024
From Model Performance to Claim: How a Change of Focus in Machine
  Learning Replicability Can Help Bridge the Responsibility Gap
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
Tianqi Kou
32
0
0
19 Apr 2024
Characterizing and modeling harms from interactions with design patterns
  in AI interfaces
Characterizing and modeling harms from interactions with design patterns in AI interfaces
Lujain Ibrahim
Luc Rocher
Ana Valdivia
32
4
0
17 Apr 2024
Application-Driven Innovation in Machine Learning
Application-Driven Innovation in Machine Learning
David Rolnick
Alán Aspuru-Guzik
Sara Beery
B. Dilkina
P. Donti
...
Hannah Kerner
C. Monteleoni
Esther Rolf
Milind Tambe
Adam White
34
8
0
26 Mar 2024
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review
Thilo Hagendorff
21
35
0
13 Feb 2024
Towards Equitable Agile Research and Development of AI and Robotics
Towards Equitable Agile Research and Development of AI and Robotics
Andrew Hundt
Julia Schuller
Severin Kacianka
17
0
0
13 Feb 2024
Discipline and Label: A WEIRD Genealogy and Social Theory of Data
  Annotation
Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation
Andrew Smart
Ding Wang
Ellis Monk
Mark Díaz
Atoosa Kasirzadeh
Erin van Liemt
Sonja Schmer-Galunder
31
8
0
09 Feb 2024
Position: Stop Making Unscientific AGI Performance Claims
Position: Stop Making Unscientific AGI Performance Claims
Patrick Altmeyer
Andrew M. Demetriou
Antony Bartlett
Cynthia C. S. Liem
26
3
0
06 Feb 2024
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
17
76
0
25 Jan 2024
Towards a Non-Ideal Methodological Framework for Responsible ML
Towards a Non-Ideal Methodological Framework for Responsible ML
Ramaravind Kommiya Mothilal
Shion Guha
Syed Ishtiaque Ahmed
40
7
0
20 Jan 2024
Big Tech influence over AI research revisited: memetic analysis of
  attribution of ideas to affiliation
Big Tech influence over AI research revisited: memetic analysis of attribution of ideas to affiliation
Stanislaw Giziñski
Paulina Kaczyñska
Hubert Ruczyñski
Emilia Wisnios
Bartosz Pieliñski
P. Biecek
Julian Sienkiewicz
32
1
0
20 Dec 2023
Disentangling Perceptions of Offensiveness: Cultural and Moral
  Correlates
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates
Aida Mostafazadeh Davani
Mark Díaz
Dylan K. Baker
Vinodkumar Prabhakaran
AAML
23
14
0
11 Dec 2023
A Material Lens on Coloniality in NLP
A Material Lens on Coloniality in NLP
William B. Held
Camille Harris
Michael Best
Diyi Yang
20
11
0
14 Nov 2023
Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset
  Specification for ML in Education
Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Education
Mei Tan
Hansol Lee
Dakuo Wang
Hariharan Subramonyam
21
7
0
09 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring
OpenForest: A data catalogue for machine learning in forest monitoring
Arthur Ouaknine
T. Kattenborn
Etienne Laliberté
David Rolnick
43
5
0
01 Nov 2023
Moral Foundations of Large Language Models
Moral Foundations of Large Language Models
Marwa Abdulhai
Gregory Serapio-Garcia
Clément Crepy
Daria Valter
John Canny
Natasha Jaques
LRM
59
42
0
23 Oct 2023
The Law and NLP: Bridging Disciplinary Disconnects
The Law and NLP: Bridging Disciplinary Disconnects
Robert Mahari
Dominik Stammbach
Elliott Ash
Alex Pentland
AILaw
22
7
0
22 Oct 2023
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