Showing 1–18 of 18 results
/ Date/ Name
Oct 22, 2023The Law and NLP: Bridging Disciplinary DisconnectsAug 29, 2024Data-Driven Law Firm Rankings to Reduce Information Asymmetry in Legal DisputesOct 1, 2024Early Career Citations Capture Judicial Idiosyncrasies and Predict JudgmentsNov 15, 2023LePaRD: A Large-Scale Dataset of Judges Citing PrecedentsJan 26, 2025Community-centric modeling of citation dynamics explains collective citation patterns in science, law, and patentsJun 30, 2021AutoLAW: Augmented Legal Reasoning through Legal Precedent PredictionJun 7, 2023Art and the science of generative AI: A deeper diveFeb 26, 2024Leveraging Large Language Models for Learning Complex Legal Concepts through StorytellingJun 1, 2022Co-creation and ownership for AI radioJul 20, 2024Consent in Crisis: The Rapid Decline of the AI Data CommonsDec 19, 2024Bridging the Data Provenance Gap Across Text, Speech and VideoNov 21, 2023zkTax: A pragmatic way to support zero-knowledge tax disclosuresApr 19, 2024Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?Apr 19, 2024Insights from an experiment crowdsourcing data from thousands of US Amazon users: The importance of transparency, money, and data useJan 16, 2025Authenticated Delegation and Authorized AI AgentsFeb 5, 2024Verifiable evaluations of machine learning models using zkSNARKsOct 25, 2023The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AIApr 15, 2026The Determinants of Judicial Promotion: Politics, Prestige, and Performance