Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics

17 February 2022

Papers citing "Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics"

9 / 9 papers shown

Title
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development Devansh Saxena Ji-Youn Jung J. Forlizzi Kenneth Holstein J. Zimmerman 71 0 0 25 Feb 2025
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use Anna Kawakami Amanda Coston Hoda Heidari Kenneth Holstein Haiyi Zhu 52 8 0 21 May 2024
Law and the Emerging Political Economy of Algorithmic Audits P. Terzis Michael Veale Noëlle Gaumann MLAU 43 6 0 03 Apr 2024
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals Anna Kawakami Amanda Coston Haiyi Zhu Hoda Heidari Kenneth Holstein 36 23 0 29 Feb 2024
Towards a Non-Ideal Methodological Framework for Responsible ML Ramaravind Kommiya Mothilal Shion Guha Syed Ishtiaque Ahmed 48 7 0 20 Jan 2024
Responsible AI Research Needs Impact Statements Too Alexandra Olteanu Michael Ekstrand Carlos Castillo Jina Suh 49 7 0 20 Nov 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 49 67 0 28 Jan 2023
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits Wesley Hanwen Deng Manish Nagireddy M. S. Lee Jatinder Singh Zhiwei Steven Wu Kenneth Holstein Haiyi Zhu 41 88 0 13 May 2022
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