GROVE visualizes distributions of language model generations as overlapping paths through a text graph, with user studies showing that graph summaries aid structural judgments like diversity assessment while raw outputs remain better for details.
(beyond) reasonable doubt: Challenges that public defenders face in scrutinizing ai in court
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Public defenders view AI as most useful for evidence investigation but limited in courtroom work and strategy, with adoption blocked by costs, confidentiality risks, and norms, requiring human oversight and open development.
PLanet is a DSL that formalizes assignment procedures via matrix algebra operators, enabling static analysis of testable causal queries under explicit assumptions.
EvalAI providing pro/con arguments improves provision-level accuracy and reduces misclassification distance in DSA illegal content reporting under AI error conditions versus conventional XAI.
Co-design process with lawyers produces visualizations and strategies for predicting and managing legal uncertainties in adaptive medical AI tools.
citing papers explorer
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Beyond One Output: Visualizing and Comparing Distributions of Language Model Generations
GROVE visualizes distributions of language model generations as overlapping paths through a text graph, with user studies showing that graph summaries aid structural judgments like diversity assessment while raw outputs remain better for details.
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AI at the Front Lines of Platform Governance: Using LLMs to Support Illegal Content Reporting under the Digital Services Act
EvalAI providing pro/con arguments improves provision-level accuracy and reduces misclassification distance in DSA illegal content reporting under AI error conditions versus conventional XAI.
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Drawing Out Legal Risks: Co-Designing with Lawyers to Predict and Manage Legal Uncertainties of Medical AI Tools
Co-design process with lawyers produces visualizations and strategies for predicting and managing legal uncertainties in adaptive medical AI tools.