Resources
Frameworks for Governance of AI
- Asilomar Principles (2017)
- Bletchley Declaration (2023)
- IEEE Ethically Aligned Design, ed. 1 (2019)
- NIST AI Risk Management Framework (2023)
- OECD AI Principles (2024)
- Ohio AI K-12 Toolkit (2024)
- Ohio AI K-12 Toolkit Supplement: Model Policies (2024)
- Transatlantic Reflection Group - A Manifesto in Defense of Democracy and the Rule of Law
- Transatlantic Reflection Group - A Manifesto on Enforcing Law
Statutes, Conventions, Orders
E-Discovery Protocols
Evaluations
Organizations Advancing Responsible Use of Advanced Technologies
Articles
- Chestnut, J., Ghalayini, T., & Davidson D.T. (2024). Don’t Throw the Bot Out with the Bathwater: Embracing Generative AI in eDiscovery Work. ACC Docket.
- Cormack, G. V., & Grossman, M. R. (2014, July). Evaluation of machine-learning protocols for technology-assisted review in electronic discovery. In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval (pp. 153-162).
- Grossman, M., & Grimm, P. (2025). Judicial Approaches to Acknowledged and Unacknowledged AI-Generated Evidence. Science and Technology Law Review, 26(2).
- Grossman, M. R., & Cormack, G. V. (2010). Technology-assisted review in e-discovery can be more effective and more efficient than exhaustive manual review. Rich. JL & Tech., 17, 1.
- Kosmyna, N., Hauptmann, E., Yuan, Y. T., Situ, J., Liao, X. H., Beresnitzky, A. V., ... & Maes, P. (2025). Your brain on chatgpt: Accumulation of cognitive debt when using an ai assistant for essay writing task. MIT Nedia Lab.
- Meinke, A., Schoen, B., Scheurer, J., Balesni, M., Shah, R., & Hobbhahn, M. (2024). Frontier models are capable of in-context scheming. Apollo Research.