Abstract
Recent developments in Artificial Intelligence (AI) pose a complex challenge for policymakers, who are tasked with regulating a technology which is poorly understood, highly multi-use, of potentially enormous economic impact, and which becomes more powerful at an extraordinary rate. In response to this challenge, this policy position paper outlines two recommended actions for national governments to monitor the AI supply chain: (1) Invest in infrastructure for monitoring the AI supply chain, and (2) establish key AI standards. This will allow policymakers to prepare for current technological challenges, as well as to have the infrastructure for unforeseen ones. Importantly, these recommendations are directly informed by technical research at the frontiers of AI and AI forecasting, to help policymakers make decisions that are robust to future technological changes.
Publisher
Journal of Science Policy and Governance, Inc.
Subject
Environmental Engineering
Reference88 articles.
1. Anderljung, Markus, Lennart Heim, and Toby Shevlane. “Compute Funds and Pre-Trained Models: Govai Blog.” RSS. Accessed May 13, 2023. https://www.governance.ai/post/compute-funds-and-pre-trained-models.
2. Aghion, Philippe, Benjamin Jones, and Charles Jones. Artificial Intelligence and economic growth, 2017. https://doi.org/10.3386/w23928.
3. Arai, Maggie. “Five Things to Know about Bill C-27.” Schwartz Reisman Institute, April 17, 2023. https://srinstitute.utoronto.ca/news/five-things-to-know-about-bill-c-27.
4. ARC Evals. “Update on Arc’s Recent Eval Efforts.” Update on ARC’s recent eval efforts - ARC Evals. Accessed May 13, 2023. https://evals.alignment.org/blog/2023-03-18-update-on-recent-evals/.
5. Arnold, Zachary, and Helen Toner. “Ai Accidents: An Emerging Threat.” Center for Security and Emerging Technology, April 12, 2022. https://cset.georgetown.edu/publication/ai-accidents-an-emerging-threat/.