Towards Equitable Agile Research and Development of AI and Robotics

13 February 2024

Papers citing "Towards Equitable Agile Research and Development of AI and Robotics"

15 / 15 papers shown

Title
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning A. Luccioni Alex Hernandez-Garcia 74 51 0 16 Feb 2023
Dislocated Accountabilities in the AI Supply Chain: Modularity and Developers' Notions of Responsibility D. Widder D. Nafus 59 73 0 20 Sep 2022
The Fallacy of AI Functionality Inioluwa Deborah Raji Indra Elizabeth Kumar Aaron Horowitz Andrew D. Selbst 65 185 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 68 190 0 10 Jun 2022
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development M. Scheuerman Emily L. Denton A. Hanna 72 210 0 09 Aug 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 71 286 0 29 Jun 2021
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models Lasse F. Wolff Anthony Benjamin Kanding Raghavendra Selvan HAI 59 313 0 06 Jul 2020
Large image datasets: A pyrrhic win for computer vision? Vinay Uday Prabhu Abeba Birhane 65 366 0 24 Jun 2020
Diversity and Inclusion Metrics in Subset Selection Margaret Mitchell Dylan K. Baker Nyalleng Moorosi Emily L. Denton Ben Hutchinson A. Hanna Timnit Gebru Jamie Morgenstern FaML 179 86 0 09 Feb 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning Peter Henderson Jie Hu Joshua Romoff Emma Brunskill Dan Jurafsky Joelle Pineau 89 453 0 31 Jan 2020
Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies Mariah L. Schrum Michael Johnson Muyleng Ghuy Matthew C. Gombolay 28 68 0 09 Jan 2020
Quantifying the Carbon Emissions of Machine Learning Alexandre Lacoste A. Luccioni Victor Schmidt Thomas Dandres 94 707 0 21 Oct 2019
Principles alone cannot guarantee ethical AI Brent Mittelstadt 48 834 0 16 Jun 2019
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints Andrew Hundt Varun Jain Chia-Hung Lin Chris Paxton Gregory Hager 36 12 0 27 Oct 2018
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 264 2,184 0 23 Mar 2018