AI Legal Hackathons: Memos and Guides Hub
From 2022 to 2024, AI2, Hugging Face, and NYU organized legal hackathons with LLM students from the NYU School of Law to explore regulatory questions related to AI. The current website contains some of the memos and guides from the hackathons. They are provided as a resource reflecting research into the state of the field but should not be construed as legal advice.
2022
Legal Playbook For Natural Language Processing Researchers
A comprehensive legal research resource for data gathering, governance, and AI model disposition, aimed at academic and government researchers working with NLP as public infrastructure.
2023
Regulatory Landscape of AI Use Constraints
Analysis of how regulators respond to AI system concerns, focusing on discrimination prevention, profiling rights, and automated decision-making across US, EU, and Canadian jurisdictions.
Leveraging Contractual Clauses to Enact License-Based AI Use Restrictions
Examination of contract remedies and copyright enforcement mechanisms for AI licensing restrictions, including analysis of third-party beneficiaries and cross-border enforcement challenges.
2024
Legal Frameworks to Address Harms of Generative AI Systems
Research on generative AI risks including deepfakes, election influence, and workplace privacy, examining how existing legislation addresses contextual harms from versatile AI systems.
Questions in AI and Privacy
Analysis of AI applications and personal data protection issues, covering data scraping, processing, and the intersection of AI development with privacy regulations.
EU-US Cross-Analysis of AI Regulatory Mechanisms
Comparative study of AI regulatory approaches between the European Union and United States, examining risk management frameworks and implementation strategies.