Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development

6 October 2021

Papers citing "Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development"

27 / 27 papers shown

Title
What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns Michael A. Hedderich Anyi Wang Raoyuan Zhao Florian Eichin Barbara Plank 30 0 0 22 Apr 2025
From Silos to Systems: Process-Oriented Hazard Analysis for AI Systems Shalaleh Rismani Roel Dobbe AJung Moon 24 1 0 29 Oct 2024
A Large-Scale Study of Model Integration in ML-Enabled Software Systems Yorick Sens Henriette Knopp Sven Peldszus Thorsten Berger AIFin 24 2 0 12 Aug 2024
A Conceptual Framework for Ethical Evaluation of Machine Learning Systems Neha R. Gupta Jessica Hullman Hari Subramonyam FaML 26 3 0 05 Aug 2024
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
Collection, usage and privacy of mobility data in the enterprise and public administrations Alexandra Kapp 19 4 0 04 Jul 2024
Using Quality Attribute Scenarios for ML Model Test Case Generation Rachel A. Brower-Sinning Grace A. Lewis Sebastían Echeverría Ipek Ozkaya 33 0 0 12 Jun 2024
Why Algorithms Remain Unjust: Power Structures Surrounding Algorithmic Activity Andrew Balch 30 0 0 28 May 2024
XAIport: A Service Framework for the Early Adoption of XAI in AI Model Development Zerui Wang Yan Liu Abishek Arumugam Thiruselvi A. Hamou-Lhadj 11 2 0 25 Mar 2024
Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development Aastha Pant Rashina Hoda C. Tantithamthavorn Burak Turhan 25 1 0 21 Mar 2024
Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams Vanessa Hanschke Dylan Rees Merve Alanyali David Hopkinson Paul Marshall 48 2 0 15 Mar 2024
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences Fred Hohman Mary Beth Kery Donghao Ren Dominik Moritz 19 16 0 06 Oct 2023
Machine Learning practices and infrastructures G. Berman 10 3 0 13 Jul 2023
A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ Practitioners Nadia Nahar Haoran Zhang Grace A. Lewis Shurui Zhou Christian Kastner 19 36 0 31 Mar 2023
A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI Mohammad Tahaei Marios Constantinides Daniele Quercia Michael J. Muller AI4TS 40 7 0 10 Feb 2023
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning Ángel Alexander Cabrera Erica Fu Donald Bertucci Kenneth Holstein Ameet Talwalkar Jason I. Hong Adam Perer 15 48 0 09 Feb 2023
Designing Data: Proactive Data Collection and Iteration for Machine Learning Aspen K. Hopkins Fred Hohman Luca Zappella Xavier Suau Cuadros Dominik Moritz 9 6 0 24 Jan 2023
Improving Human-AI Collaboration With Descriptions of AI Behavior Ángel Alexander Cabrera Adam Perer Jason I. Hong 20 34 0 06 Jan 2023
Towards Standardized Mobility Reports with User-Level Privacy Alexandra Kapp Saskia Nuñez von Voigt Helena Mihaljević Florian Tschorsch 34 2 0 19 Sep 2022
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics Michaela Benk Raphael P. Weibel Stefan Feuerriegel Andrea Ferrario 18 3 0 09 Aug 2022
Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts Ashley Suh G. Appleby Erik W. Anderson Luca A. Finelli Remco Chang Dylan Cashman 21 8 0 11 May 2022
Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability Avinash Bhat Austin Coursey Grace Hu Sixian Li Nadia Nahar Shurui Zhou Christian Kastner Jin L. C. Guo 27 23 0 13 Apr 2022
Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups Amy A. Winecoff E. A. Watkins 18 17 0 02 Mar 2022
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process Nadia Nahar Shurui Zhou Grace A. Lewis Christian Kastner VLM 35 126 0 19 Oct 2021
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI Dakuo Wang Justin D. Weisz Michael J. Muller Parikshit Ram Werner Geyer Casey Dugan Y. Tausczik Horst Samulowitz Alexander G. Gray 166 309 0 05 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,203 0 23 Aug 2019
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 192 742 0 13 Dec 2018