Stanford HAI is leveraging the university’s strength across all disciplines including: computer science, business, economics, education, law, literature, medicine, neuroscience, philosophy, and more, to create innovative research on AI. This multidisciplinary research is being designed in a way to provide answers to questions in the governance of AI as well as utilization by policymakers.
Stanford HAI policy briefs take cutting-edge, policy-relevant AI/ML academic research produced by Stanford faculty and transform it into digestible briefs for time-strained policymakers and staff.
HAI’s policy explainers take AI/ML relevant legislation or other legal documents and highlight key points so anyone can efficiently find the information needed to make effective decisions.
HAI’s white papers take a deeper dive into AI/ML research. Driven by faculty, researchers, students, and staff, these white papers aim to inform policymakers on cutting-edge research related to emerging technologies.
While machine learning applications in healthcare continue to shape patient-care experiences and medical outcomes, discriminatory AI decision-making is concerning. This issue is especially pronounced in a clinical setting, where individuals’ well-being and physical safety are on the line, and where medical professionals face life-or-death decisions every day. Until now, the conversation about measuring algorithmic fairness in healthcare has focused on fairness itself—and has not fully taken into account how fairness techniques could impact clinical predictive models, which are often derived from large clinical datasets. This brief seeks to ground this debate in evidence, and suggests the best way forward in developing fairer ML tools for a clinical setting.
On July 27, 2022, Congress passed the CHIPS and Science Act to spend $280 billion focused on boosting the United States’ scientific research and advanced semiconductor manufacturing capacity to boost U.S. competitiveness against China. This policy explainer describes the CHIPS and Science Act (hereafter, the “CHIPS Act”) and its impact on artificial intelligence (AI), including funding allocated to AI-related research and activities and provisions related to new AI capacity-building and development programs.
Email HAI-Policy@stanford.edu for general inquiries, briefings, or other policy related work.