Towards a multi-stakeholder value-based assessment framework for
algorithmic systems

Towards a multi-stakeholder value-based assessment framework for algorithmic systems

9 May 2022

Dave Murray-Rust

Papers citing "Towards a multi-stakeholder value-based assessment framework for algorithmic systems"

14 / 14 papers shown

Title
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 29 3 0 29 Aug 2024
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap Tianqi Kou 32 0 0 19 Apr 2024
Information That Matters: Exploring Information Needs of People Affected by Algorithmic Decisions Timothée Schmude Laura M. Koesten Torsten Moller Sebastian Tschiatschek 13 3 0 24 Jan 2024
Unpacking Human-AI interactions: From interaction primitives to a design space Konstantinos Tsiakas Dave Murray-Rust 19 3 0 10 Jan 2024
The Value-Sensitive Conversational Agent Co-Design Framework Malak Sadek Rafael A. Calvo C. Mougenot 3DV 21 2 0 18 Oct 2023
Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks Hao-Ping Lee Yu-Ju Yang Thomas Serban Von Davier J. Forlizzi Sauvik Das 19 53 0 11 Oct 2023
Grasping AI: experiential exercises for designers Dave Murray-Rust M. Lupetti Iohanna Nicenboim W. V. D. Hoog 19 12 0 02 Oct 2023
How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection Philippe Lammerts Philip Lippmann Yen-Chia Hsu Fabio Casati Jie Yang 13 0 0 21 Jul 2023
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Values R. Varanasi Nitesh Goyal 21 46 0 14 Jul 2023
Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study Nicolas Scharowski Michaela Benk S. J. Kühne Léane Wettstein Florian Brühlmann 17 12 0 15 May 2023
A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI Mohammad Tahaei Marios Constantinides Daniele Quercia Michael J. Muller AI4TS 38 7 0 10 Feb 2023
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective Pulei Xiong Scott Buffett Shahrear Iqbal Philippe Lamontagne M. Mamun Heather Molyneaux OOD 29 15 0 08 Jan 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016