lightbulbPractical problemAlgorithm Contestability and Governance Auditing
Users distrust algorithmic decision outcomes due to lack of transparency and fairness.Fairness, Bias, and Research Governance / Algorithm Contestability and Governance Auditing
Users distrust algorithmic decision outcomes due to lack of transparency and fairness.
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lightbulbPractical problemAlgorithm Contestability and Governance Auditing
AI auditing lacks adequate tools and standardization for identifying risks and system limitations.lightbulbPractical problemAlgorithm Contestability and Governance Auditing
University students tend to accept LLM content uncritically and lack critical thinking.lightbulbPractical problemAlgorithm Contestability and Governance Auditing
Third-party algorithm auditing cannot conduct reliable fairness evaluation due to limited data access.lightbulbPractical problemAlgorithm Contestability and Governance Auditing
Negative impacts of AI design and decisions are hard to attribute, and public participation is limited.CSCW '24From Stem to Stern: Contestability Along AI Value Chains
lightbulbPractical problemAlgorithm Contestability and Governance Auditing
Marginalized groups struggle to obtain fair outcomes in algorithmic public services.lightbulbPractical problemAlgorithm Contestability and Governance Auditing
Non-technical users struggle to efficiently design and test LLM prompts, leading to slow optimization.Related papers
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