Collaboration Challenges in Building ML-Enabled Systems: Communication,
Documentation, Engineering, and Process

Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process

19 October 2021

Christian Kastner

Papers citing "Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process"

15 / 15 papers shown

Title
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers Chenyang Yang Tesi Xiao Michael Shavlovsky Christian Kastner Tongshuang Wu 37 0 0 07 Nov 2024
Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts Jenny T Liang Melissa Lin Nikitha Rao Brad A. Myers 75 5 0 19 Sep 2024
How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions Umm-e- Habiba Markus Haug Justus Bogner Stefan Wagner 18 0 0 11 Sep 2024
Law and the Emerging Political Economy of Algorithmic Audits P. Terzis Michael Veale Noëlle Gaumann MLAU 28 5 0 03 Apr 2024
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs Chenyang Yang Rishabh Rustogi Rachel A. Brower-Sinning Grace A. Lewis Christian Kastner Tongshuang Wu KELM 30 11 0 14 Oct 2023
Tailoring Requirements Engineering for Responsible AI W. Maalej Y. D. Pham Larissa Chazette 19 2 0 21 Feb 2023
Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook Nur Yildirim Mahima Pushkarna Nitesh Goyal Martin Wattenberg Fernanda Viégas 23 66 0 28 Jan 2023
Code Recommendation for Open Source Software Developers Yiqiao Jin Yunsheng Bai Yanqiao Zhu Yizhou Sun Wei Wang 10 24 0 15 Oct 2022
Taming Multi-Output Recommenders for Software Engineering Christoph Treude 25 4 0 31 Jul 2022
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality Rex Chen Fei Fang Norman M. Sadeh 24 8 0 23 Jun 2022
Pynblint: a Static Analyzer for Python Jupyter Notebooks L. Quaranta Fabio Calefato F. Lanubile 13 6 0 24 May 2022
Towards a Change Taxonomy for Machine Learning Systems Aaditya Bhatia Ellis E. Eghan Manel Grichi William G. Cavanagh Zhen Ming Z. Jiang Bram Adams 15 8 0 21 Mar 2022
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models Soya Park A. Wang B. Kawas Q. V. Liao David Piorkowski Marina Danilevsky 46 55 0 29 Jan 2021
Towards Guidelines for Assessing Qualities of Machine Learning Systems Julien Siebert Lisa Joeckel J. Heidrich K. Nakamichi Kyoko Ohashi I. Namba Rieko Yamamoto M. Aoyama 28 47 0 25 Aug 2020
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 192 739 0 13 Dec 2018