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Fairness, Bias, and Research Governance / Algorithm Contestability and Governance Auditing

How can users from different backgrounds collaboratively discover and report bias and issues in AI systems?

helpResearch questionAlgorithm Contestability and Governance Auditing

How can users from different backgrounds collaboratively discover and report bias and issues in AI systems?

CSCW '23Supporting User Engagement in Testing, Auditing, and Contesting AI

Similar questions

helpResearch questionAlgorithm Contestability and Governance Auditing

Which existing tools in AI auditing can truly achieve accountability?

CHI '25Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling

helpResearch questionAlgorithm Contestability and Governance Auditing

At which stages do existing AI auditing tools have functional or coverage gaps?

CHI '25Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling

helpResearch questionAlgorithm Contestability and Governance Auditing

How can AI auditing tools be improved to support more complete social accountability processes?

CHI '25Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling

helpResearch questionAlgorithm Contestability and Governance Auditing

How can university students audit large language model (LLM) bias and improve critical AI literacy without technical education?

CHI '25"Here the GPT made a choice, and every choice can be biased": How Students Critically Engage with LLMs through End-User Auditing Activity

helpResearch questionAlgorithm Contestability and Governance Auditing

Can staged support from user auditing tools (e.g., PromptAuditor) effectively improve students' systematic bias auditing ability?

CHI '25"Here the GPT made a choice, and every choice can be biased": How Students Critically Engage with LLMs through End-User Auditing Activity

helpResearch questionAlgorithm Contestability and Governance Auditing

How does auditing scaffolding change students' understanding and analysis of LLM bias?

CHI '25"Here the GPT made a choice, and every choice can be biased": How Students Critically Engage with LLMs through End-User Auditing Activity

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Access Denied: Meaningful Data Access for Quantitative Algorithm Audits

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Understanding Contestability on the Margins: Implications for the Design of Algorithmic Decision-making in Public Services

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ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing

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Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work Together to Surface Algorithmic Harms?

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Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability.

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