ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.15590
  4. Cited By
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 / 140 papers shown
Title
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
164
22
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
229
79
0
13 Feb 2024
Towards Equitable Agile Research and Development of AI and Robotics
Towards Equitable Agile Research and Development of AI and Robotics
Rumaisa Azeem
Julia Schuller
Severin Kacianka
137
1
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
164
12
0
09 Feb 2024
Position: Stop Making Unscientific AGI Performance Claims
Position: Stop Making Unscientific AGI Performance ClaimsInternational Conference on Machine Learning (ICML), 2024
Patrick Altmeyer
Andrew M. Demetriou
Antony Bartlett
Cynthia C. S. Liem
269
9
0
06 Feb 2024
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI AuditsConference on Fairness, Accountability and Transparency (FAccT), 2024
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
488
127
0
25 Jan 2024
Towards a Non-Ideal Methodological Framework for Responsible ML
Towards a Non-Ideal Methodological Framework for Responsible MLInternational Conference on Human Factors in Computing Systems (CHI), 2024
Ramaravind Kommiya Mothilal
Shion Guha
Syed Ishtiaque Ahmed
272
12
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
152
7
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
159
26
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
289
21
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
167
12
0
09 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring
OpenForest: A data catalogue for machine learning in forest monitoringEnvironmental Data Science (EDS), 2023
Arthur Ouaknine
T. Kattenborn
Etienne Laliberté
David Rolnick
466
16
0
01 Nov 2023
Moral Foundations of Large Language Models
Moral Foundations of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Marwa Abdulhai
Gregory Serapio-Garcia
Clément Crepy
Daria Valter
John Canny
Natasha Jaques
LRM
235
69
0
23 Oct 2023
The Law and NLP: Bridging Disciplinary Disconnects
The Law and NLP: Bridging Disciplinary DisconnectsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Robert Mahari
Dominik Stammbach
Elliott Ash
Alex Pentland
AILaw
192
12
0
22 Oct 2023
The Quo Vadis of the Relationship between Language and Large Language
  Models
The Quo Vadis of the Relationship between Language and Large Language Models
Evelina Leivada
Vittoria Dentella
Elliot Murphy
217
6
0
17 Oct 2023
To Build Our Future, We Must Know Our Past: Contextualizing Paradigm
  Shifts in Natural Language Processing
To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language ProcessingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Sireesh Gururaja
Amanda Bertsch
Clara Na
D. Widder
Emma Strubell
177
5
0
11 Oct 2023
Dynamic value alignment through preference aggregation of multiple
  objectives
Dynamic value alignment through preference aggregation of multiple objectives
Marcin Korecki
Damian Dailisan
Cesare Carissimo
220
1
0
09 Oct 2023
Can large language models provide useful feedback on research papers? A
  large-scale empirical analysis
Can large language models provide useful feedback on research papers? A large-scale empirical analysis
Weixin Liang
Yuhui Zhang
Hancheng Cao
Binglu Wang
Daisy Ding
...
Siyu He
D. Smith
Yian Yin
Daniel A. McFarland
James Y. Zou
ALMLM&MA
244
218
0
03 Oct 2023
The Robots are Here: Navigating the Generative AI Revolution in
  Computing Education
The Robots are Here: Navigating the Generative AI Revolution in Computing Education
James Prather
Paul Denny
Juho Leinonen
Brett A. Becker
Ibrahim Albluwi
...
Stephen MacNeil
Andrew Petersen
Raymond Pettit
Brent N. Reeves
Jaromír Šavelka
227
291
0
01 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda
  for Developing Practical Guidelines and Tools
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and ToolsConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Maximilian Schambach
Rakshit Naidu
Rayid Ghani
Kit T. Rodolfa
Daniel E. Ho
Hoda Heidari
FaML
253
22
0
29 Sep 2023
The Surveillance AI Pipeline
The Surveillance AI Pipeline
Pratyusha Kalluri
William Agnew
Myra Cheng
Kentrell Owens
Luca Soldaini
Abeba Birhane
198
10
0
26 Sep 2023
RAI4IoE: Responsible AI for Enabling the Internet of Energy
RAI4IoE: Responsible AI for Enabling the Internet of EnergyInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2023
Minhui Xue
Surya Nepal
Ling Liu
Subbu Sethuvenkatraman
Xingliang Yuan
Carsten Rudolph
Ruoxi Sun
Greg Eisenhauer
243
6
0
20 Sep 2023
Artificial Intelligence and Aesthetic Judgment
Artificial Intelligence and Aesthetic Judgment
Jessica Hullman
Ari Holtzman
Andrew Gelman
117
4
0
21 Aug 2023
Position: Key Claims in LLM Research Have a Long Tail of Footnotes
Position: Key Claims in LLM Research Have a Long Tail of FootnotesInternational Conference on Machine Learning (ICML), 2023
Anna Rogers
A. Luccioni
411
22
0
14 Aug 2023
Beneficent Intelligence: A Capability Approach to Modeling Benefit,
  Assistance, and Associated Moral Failures through AI Systems
Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures through AI Systems
A. London
Hoda Heidari
173
26
0
01 Aug 2023
A Sentence is Worth a Thousand Pictures: Can Large Language Models
  Understand Human Language?
A Sentence is Worth a Thousand Pictures: Can Large Language Models Understand Human Language?
G. Marcus
Evelina Leivada
Elliot Murphy
ELMVLMALM
244
9
0
26 Jul 2023
How do you feel? Measuring User-Perceived Value for Rejecting Machine
  Decisions in Hate Speech Detection
How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech DetectionAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Philippe Lammerts
Philip Lippmann
Yen-Chia Hsu
Fabio Casati
Jie Yang
114
0
0
21 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems
A Holistic Assessment of the Reliability of Machine Learning Systems
Anthony Corso
David Karamadian
Romeo Valentin
Mary Cooper
Mykel J. Kochenderfer
292
10
0
20 Jul 2023
Techno-Utopians, Scammers, and Bullshitters: The Promise and Peril of
  Web3 and Blockchain Technologies According to Operators and Venture Capital
  Investors
Techno-Utopians, Scammers, and Bullshitters: The Promise and Peril of Web3 and Blockchain Technologies According to Operators and Venture Capital Investors
Amy A. Winecoff
J. Lenhard
97
2
0
14 Jul 2023
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges
  during Co-production of Responsible AI Values
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI ValuesInternational Conference on Human Factors in Computing Systems (CHI), 2023
R. Varanasi
Nitesh Goyal
255
56
0
14 Jul 2023
Scaling Laws Do Not Scale
Scaling Laws Do Not ScaleAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Fernando Diaz
Michael A. Madaio
313
15
0
05 Jul 2023
Personality Traits in Large Language Models
Personality Traits in Large Language Models
Gregory Serapio-García
Mustafa Safdari
Clément Crepy
Luning Sun
Stephen Fitz
P. Romero
Marwa Abdulhai
Aleksandra Faust
Maja J. Matarić
LM&MALLMAG
669
175
0
01 Jul 2023
Bring Your Own Data! Self-Supervised Evaluation for Large Language
  Models
Bring Your Own Data! Self-Supervised Evaluation for Large Language Models
Neel Jain
Khalid Saifullah
Yuxin Wen
John Kirchenbauer
Manli Shu
Aniruddha Saha
Micah Goldblum
Jonas Geiping
Tom Goldstein
ALMELM
239
26
0
23 Jun 2023
Broadening the perspective for sustainable AI: Comprehensive
  sustainability criteria and indicators for AI systems
Broadening the perspective for sustainable AI: Comprehensive sustainability criteria and indicators for AI systems
Friederike Rohde
Josephin Wagner
A. Meyer
Philipp Reinhard
Marcus Voss
U. Petschow
Anne Mollen
160
5
0
22 Jun 2023
Apolitical Intelligence? Auditing Delphi's responses on controversial
  political issues in the US
Apolitical Intelligence? Auditing Delphi's responses on controversial political issues in the US
J. H. Rystrøm
115
0
0
22 Jun 2023
Going public: the role of public participation approaches in commercial
  AI labs
Going public: the role of public participation approaches in commercial AI labsConference on Fairness, Accountability and Transparency (FAccT), 2023
Lara Groves
Aidan Peppin
A. Strait
Jenny Brennan
166
32
0
16 Jun 2023
Lost in Translation: Large Language Models in Non-English Content
  Analysis
Lost in Translation: Large Language Models in Non-English Content Analysis
Gabriel Nicholas
Aliya Bhatia
ELM
257
53
0
12 Jun 2023
Investigating Practices and Opportunities for Cross-functional
  Collaboration around AI Fairness in Industry Practice
Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry PracticeConference on Fairness, Accountability and Transparency (FAccT), 2023
Wesley Hanwen Deng
Nuri Yildirim
Monica Chang
Motahhare Eslami
Kenneth Holstein
Michael A. Madaio
230
57
0
10 Jun 2023
NLPositionality: Characterizing Design Biases of Datasets and Models
NLPositionality: Characterizing Design Biases of Datasets and ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Sebastin Santy
Jenny T Liang
Ronan Le Bras
Katharina Reinecke
Maarten Sap
292
104
0
02 Jun 2023
Stereotypes and Smut: The (Mis)representation of Non-cisgender
  Identities by Text-to-Image Models
Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Eddie L. Ungless
Bjorn Ross
Anne Lauscher
163
44
0
26 May 2023
Deep Learning and Ethics
Deep Learning and Ethics
Travis LaCroix
Simon J. D. Prince
FaML
163
0
0
24 May 2023
Voices of Her: Analyzing Gender Differences in the AI Publication World
Voices of Her: Analyzing Gender Differences in the AI Publication World
Yiwen Ding
Jiarui Liu
Zhiheng Lyu
Kun Zhang
Bernhard Schoelkopf
Zhijing Jin
Amélie Reymond
72
6
0
24 May 2023
ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores
  Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource
  Languages
ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource LanguagesInternational Computing Education Research Workshop (ICER), 2023
Sourojit Ghosh
Aylin Caliskan
179
100
0
17 May 2023
The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who
The Intended Uses of Automated Fact-Checking Artefacts: Why, How and WhoConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Michael Schlichtkrull
N. Ousidhoum
Andreas Vlachos
337
23
0
27 Apr 2023
Pythia: A Suite for Analyzing Large Language Models Across Training and
  Scaling
Pythia: A Suite for Analyzing Large Language Models Across Training and ScalingInternational Conference on Machine Learning (ICML), 2023
Stella Biderman
Hailey Schoelkopf
Quentin G. Anthony
Herbie Bradley
Kyle O'Brien
...
USVSN Sai Prashanth
Edward Raff
Aviya Skowron
Lintang Sutawika
Oskar van der Wal
364
1,604
0
03 Apr 2023
Eight Things to Know about Large Language Models
Eight Things to Know about Large Language Models
Sam Bowman
ALM
291
137
0
02 Apr 2023
BloombergGPT: A Large Language Model for Finance
BloombergGPT: A Large Language Model for Finance
Shijie Wu
Ozan Irsoy
Steven Lu
Vadim Dabravolski
Mark Dredze
Sebastian Gehrmann
P. Kambadur
David S. Rosenberg
Gideon Mann
AIFin
610
1,108
0
30 Mar 2023
Ecosystem Graphs: The Social Footprint of Foundation Models
Ecosystem Graphs: The Social Footprint of Foundation Models
Rishi Bommasani
Dilara Soylu
Thomas I. Liao
Kathleen A. Creel
Abigail Z. Jacobs
MLAU
169
43
0
28 Mar 2023
Right the docs: Characterising voice dataset documentation practices
  used in machine learning
Right the docs: Characterising voice dataset documentation practices used in machine learningAustralasian Language Technology Association Workshop (ALTA), 2023
Kathy Reid
Elizabeth T. Williams
159
2
0
19 Mar 2023
A multidomain relational framework to guide institutional AI research
  and adoption
A multidomain relational framework to guide institutional AI research and adoption
Vince J. Straub
Deborah Morgan
Youmna Hashem
John Francis
Saba Esnaashari
Jonathan Bright
179
11
0
17 Mar 2023
Previous
123
Next