The Values Encoded in Machine Learning Research

29 June 2021

Papers citing "The Values Encoded in Machine Learning Research"

27 / 127 papers shown

Title
Back to the Future: On Potential Histories in NLP Zeerak Talat Anne Lauscher AI4TS 30 4 0 12 Oct 2022
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction Renee Shelby Shalaleh Rismani Kathryn Henne AJung Moon Negar Rostamzadeh ... N'Mah Yilla-Akbari Jess Gallegos A. Smart Emilio Garcia Gurleen Virk 39 188 0 11 Oct 2022
Addressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda Andrés Domínguez Hernández Richard Owen Dan Saattrup Nielsen Ryan McConville 22 7 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 21 1 0 08 Sep 2022
Making Intelligence: Ethical Values in IQ and ML Benchmarks Borhane Blili-Hamelin Leif Hancox-Li 41 16 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 23 124 0 27 Jul 2022
Robots Enact Malignant Stereotypes Andrew Hundt William Agnew V. Zeng Severin Kacianka Matthew C. Gombolay LM&Ro 35 41 0 23 Jul 2022
Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold Sebastian Ruder Ivan Vulić Anders Søgaard 41 29 0 20 Jun 2022
Measuring the Carbon Intensity of AI in Cloud Instances Jesse Dodge Taylor Prewitt Rémi Tachet des Combes Erika Odmark Roy Schwartz Emma Strubell A. Luccioni Noah A. Smith Nicole DeCario Will Buchanan 29 183 0 10 Jun 2022
How Different Groups Prioritize Ethical Values for Responsible AI Maurice Jakesch Zana Buçinca Saleema Amershi Alexandra Olteanu 56 95 0 16 May 2022
Evaluation Gaps in Machine Learning Practice Ben Hutchinson Negar Rostamzadeh Christina Greer Katherine A. Heller Vinodkumar Prabhakaran ELM 30 56 0 11 May 2022
Social Inclusion in Curated Contexts: Insights from Museum Practices Han-yin Huang Cynthia C. S. Liem 17 13 0 10 May 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems Mireia Yurrita Dave Murray-Rust Agathe Balayn A. Bozzon MLAU 31 29 0 09 May 2022
REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research Jessie J. Smith Saleema Amershi Solon Barocas Hanna M. Wallach J. W. Vaughan 14 30 0 05 May 2022
Data Governance in the Age of Large-Scale Data-Driven Language Technology Yacine Jernite Huu Nguyen Stella Biderman A. Rogers Maraim Masoud ... Jorg Frohberg Aaron Gokaslan Peter Henderson Rishi Bommasani Margaret Mitchell 26 52 0 04 May 2022
Can Information Behaviour Inform Machine Learning? M. Ridley AI4CE 29 0 0 01 May 2022
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance Katherine Crowson Stella Biderman Daniel Kornis Dashiell Stander Eric Hallahan Louis Castricato Edward Raff CLIP 74 369 0 18 Apr 2022
Experimental Standards for Deep Learning in Natural Language Processing Research Dennis Ulmer Elisa Bassignana Max Müller-Eberstein Daniel Varab Mike Zhang Rob van der Goot Christian Hardmeier Barbara Plank 19 10 0 13 Apr 2022
Metaethical Perspectives on 'Benchmarking' AI Ethics Travis LaCroix A. Luccioni 27 7 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 14 2 0 01 Mar 2022
Warmth and competence in human-agent cooperation Kevin R. McKee Xuechunzi Bai S. Fiske 35 26 0 31 Jan 2022
Fooling MOSS Detection with Pretrained Language Models Stella Biderman Edward Raff DeLMO 19 35 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 33 186 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 61 338 0 27 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 186 275 0 28 Sep 2021
Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power? Milagros Miceli Julian Posada Tianling Yang 22 60 0 16 Sep 2021
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 743 0 13 Dec 2018