helpResearch questionAlgorithm Contestability and Governance Auditing
Which feature designs are best suited for non-technical users in LLM behavior auditing (e.g., bias and safety issues)?Fairness, Bias, and Research Governance / Algorithm Contestability and Governance Auditing
Which feature designs are best suited for non-technical users in LLM behavior auditing (e.g., bias and safety issues)?
Similar questions
helpResearch questionAlgorithm Contestability and Governance Auditing
Which existing tools in AI auditing can truly achieve accountability?helpResearch questionAlgorithm Contestability and Governance Auditing
At which stages do existing AI auditing tools have functional or coverage gaps?helpResearch questionAlgorithm Contestability and Governance Auditing
How can AI auditing tools be improved to support more complete social accountability processes?helpResearch questionAlgorithm Contestability and Governance Auditing
How can university students audit large language model (LLM) bias and improve critical AI literacy without technical education?helpResearch questionAlgorithm Contestability and Governance Auditing
Can staged support from user auditing tools (e.g., PromptAuditor) effectively improve students' systematic bias auditing ability?helpResearch questionAlgorithm Contestability and Governance Auditing
How does auditing scaffolding change students' understanding and analysis of LLM bias?Related papers
CHI 2025
Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling
Victor Ojewale, Ryan Steed, Briana Vecchione
CHI 2025
"Here the GPT made a choice, and every choice can be biased": How Students Critically Engage with LLMs through End-User Auditing Activity
Snehal Prabhudesai, Ananya Prashant Kasi, Anmol Mansingh
CHI 2025
Access Denied: Meaningful Data Access for Quantitative Algorithm Audits
Juliette Zaccour, Reuben Binns, Luc Rocher
CHI 2024
Understanding Contestability on the Margins: Implications for the Design of Algorithmic Decision-making in Public Services
Naveena Karusala, Sohini Upadhyay, Rajesh Veeraraghavan
CHI 2024
ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing
Ian Arawjo, Chelse Swoopes, Priyan Vaithilingam
CHI 2023
Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work Together to Surface Algorithmic Harms?
Rena Li, Sara Kingsley, Chelsea Fan
CHI 2023
Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability.
Mireia Yurrita, Tim Draws, Agathe Balayn
CHI 2022
Toward User-Driven Algorithm Auditing: Investigating Users' Strategies for Uncovering Harmful Algorithmic Behavior
Alicia DeVos, Aditi Dhabalia, Hong Shen