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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
Re-assign community
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Papers citing
"The Values Encoded in Machine Learning Research"
40 / 140 papers shown
Title
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
Neural Information Processing Systems (NeurIPS), 2023
Hugo Laurenccon
Lucile Saulnier
Thomas Wang
Christopher Akiki
Albert Villanova del Moral
...
Violette Lepercq
Suzana Ilić
Margaret Mitchell
Sasha Luccioni
Yacine Jernite
AI4CE
AILaw
186
194
0
07 Mar 2023
A toolkit of dilemmas: Beyond debiasing and fairness formulas for responsible AI/ML
International Symposium on Technology and Society (ISTAS), 2022
Andrés Domínguez Hernández
Vassilis Galanos
140
4
0
03 Mar 2023
Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers
Melissa Hall
Bobbie Chern
Laura Gustafson
Denisse Ventura
Harshad Kulkarni
Candace Ross
Nicolas Usunier
187
6
0
16 Feb 2023
Rethinking "Risk" in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare
International Conference on Human Factors in Computing Systems (CHI), 2023
Devansh Saxena
Erin Moon
Aryan Chaurasia
Yixin Guan
Shion Guha
191
28
0
16 Feb 2023
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning
A. Luccioni
Alex Hernandez-Garcia
211
70
0
16 Feb 2023
AI and Core Electoral Processes: Mapping the Horizons
The AI Magazine (AI Mag.), 2023
Deepak P
Stanley Simoes
Muiris Maccarthaigh
160
5
0
07 Feb 2023
The Gradient of Generative AI Release: Methods and Considerations
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Irene Solaiman
170
125
0
05 Feb 2023
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities
Samer B. Nashed
Justin Svegliato
Su Lin Blodgett
FaML
237
7
0
13 Jan 2023
How Data Scientists Review the Scholarly Literature
Conference on Human Information Interaction and Retrieval (CHIIR), 2023
Sheshera Mysore
Mahmood Jasim
Haoru Song
Sarah Akbar
Andre Kenneth Chase Randall
Narges Mahyar
AI4CE
145
9
0
10 Jan 2023
Evaluation for Change
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Rishi Bommasani
ELM
188
0
0
20 Dec 2022
Tensions Between the Proxies of Human Values in AI
Teresa Datta
D. Nissani
Max Cembalest
Akash Khanna
Haley Massa
John P. Dickerson
208
4
0
14 Dec 2022
A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale
Zhixuan Zhou
Jiao Sun
Jiaxin Pei
Nanyun Peng
Jinjun Xiong
144
7
0
25 Nov 2022
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop
:
Teven Le Scao
Angela Fan
Christopher Akiki
...
Zhongli Xie
Zifan Ye
M. Bras
Younes Belkada
Thomas Wolf
VLM
812
2,717
0
09 Nov 2022
Artificial intelligence in government: Concepts, standards, and a unified framework
Journal of Grid Computing (J. Grid Comput.), 2022
Vince J. Straub
Deborah Morgan
Jonathan Bright
Helen Z. Margetts
AI4TS
195
55
0
31 Oct 2022
Back to the Future: On Potential Histories in NLP
Zeerak Talat
Anne Lauscher
AI4TS
246
5
0
12 Oct 2022
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022
Renee Shelby
Shalaleh Rismani
Kathryn Henne
AJung Moon
Negar Rostamzadeh
...
N'Mah Yilla-Akbari
Jess Gallegos
A. Smart
Emilio Garcia
Gurleen Virk
307
275
0
11 Oct 2022
Addressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Andrés Domínguez Hernández
Richard Owen
Dan Saattrup Nielsen
Ryan McConville
188
9
0
05 Oct 2022
Lost in Translation: Reimagining the Machine Learning Life Cycle in Education
Lydia T. Liu
Serena Wang
Tolani A. Britton
Rediet Abebe
AI4Ed
138
1
0
08 Sep 2022
Making Intelligence: Ethical Values in IQ and ML Benchmarks
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Borhane Blili-Hamelin
Leif Hancox-Li
259
20
0
01 Sep 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Raukur
A. Ho
Stephen Casper
Dylan Hadfield-Menell
AAML
AI4CE
722
165
0
27 Jul 2022
Robots Enact Malignant Stereotypes
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Rumaisa Azeem
William Agnew
V. Zeng
Severin Kacianka
Matthew C. Gombolay
LM&Ro
174
56
0
23 Jul 2022
Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold
Findings (Findings), 2022
Sebastian Ruder
Ivan Vulić
Anders Søgaard
169
37
0
20 Jun 2022
Measuring the Carbon Intensity of AI in Cloud Instances
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Jesse Dodge
Taylor Prewitt
Rémi Tachet des Combes
Erika Odmark
Roy Schwartz
Emma Strubell
A. Luccioni
Noah A. Smith
Nicole DeCario
Will Buchanan
189
240
0
10 Jun 2022
How Different Groups Prioritize Ethical Values for Responsible AI
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Maurice Jakesch
Zana Buçinca
Saleema Amershi
Alexandra Olteanu
176
118
0
16 May 2022
Evaluation Gaps in Machine Learning Practice
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Ben Hutchinson
Negar Rostamzadeh
Christina Greer
Katherine A. Heller
Vinodkumar Prabhakaran
ELM
263
74
0
11 May 2022
Social Inclusion in Curated Contexts: Insights from Museum Practices
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Han-yin Huang
Cynthia C. S. Liem
106
23
0
10 May 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Mireia Yurrita
Dave Murray-Rust
Agathe Balayn
A. Bozzon
MLAU
208
36
0
09 May 2022
REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Jessie J. Smith
Saleema Amershi
Solon Barocas
Hanna M. Wallach
J. W. Vaughan
159
36
0
05 May 2022
Data Governance in the Age of Large-Scale Data-Driven Language Technology
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Yacine Jernite
Huu Nguyen
Stella Biderman
A. Rogers
Maraim Masoud
...
Jorg Frohberg
Aaron Gokaslan
Peter Henderson
Rishi Bommasani
Margaret Mitchell
186
57
0
04 May 2022
Can Information Behaviour Inform Machine Learning?
M. Ridley
AI4CE
142
0
0
01 May 2022
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance
European Conference on Computer Vision (ECCV), 2022
Katherine Crowson
Stella Biderman
Daniel Kornis
Dashiell Stander
Eric Hallahan
Louis Castricato
Edward Raff
CLIP
407
437
0
18 Apr 2022
Experimental Standards for Deep Learning in Natural Language Processing Research
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Dennis Ulmer
Elisa Bassignana
Max Müller-Eberstein
Daniel Varab
Mike Zhang
Rob van der Goot
Christian Hardmeier
Barbara Plank
248
12
0
13 Apr 2022
Metaethical Perspectives on 'Benchmarking' AI Ethics
AI and Ethics (AE), 2022
Travis LaCroix
A. Luccioni
103
10
0
11 Apr 2022
Judging the algorithm: A case study on the risk assessment tool for gender-based violence implemented in the Basque country
Ana Valdivia
Cari Hyde-Vaamonde
Julián García-Marcos
43
2
0
01 Mar 2022
Warmth and competence in human-agent cooperation
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Kevin R. McKee
Xuechunzi Bai
S. Fiske
366
34
0
31 Jan 2022
Fooling MOSS Detection with Pretrained Language Models
International Conference on Information and Knowledge Management (CIKM), 2022
Stella Biderman
Edward Raff
DeLMO
144
40
0
19 Jan 2022
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
Vivian Lai
Chacha Chen
Q. V. Liao
Alison Smith-Renner
Chenhao Tan
265
208
0
21 Dec 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Derek Lim
Felix Hohne
Xiuyu Li
Sijia Huang
Vaishnavi Gupta
Omkar Bhalerao
Ser-Nam Lim
328
429
0
27 Oct 2021
Unsolved Problems in ML Safety
Dan Hendrycks
Nicholas Carlini
John Schulman
Jacob Steinhardt
647
339
0
28 Sep 2021
Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?
Milagros Miceli
Julian Posada
Tianling Yang
95
74
0
16 Sep 2021
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