Explore the governance and redesign of the U.S. kidney transplant allocation algorithm in this seminar featuring David Robinson, visiting scientist at Cornell University's AI Policy and Practice Initiative. Delve into the decade-long debate and planning process that led to the algorithm's replacement in 2014. Gain insights into the challenges of governing algorithms in real-world applications and the lessons learned from this contentious redesign. Examine the intersection of algorithms, governance, and equity in healthcare decision-making. Discover how design choices allocate attention and impact stakeholders. Consider the tradeoffs between equity and utility, as well as the importance of explainable decisions in algorithmic systems. Learn about public input mechanisms, international best practices, and recommendations for algorithm creators. Engage with thought-provoking questions on age matching, balancing good versus perfect solutions, and the role of voluntary input systems in algorithm governance.
Overview
Syllabus
Introduction
Algorithms in Court
What is an algorithm
Algorithms and governance
Research
Background
What happened over this period
Factors that make a difference
Lessons learned
Design allocates attention
Questions
Argument for age matching
Good vs perfect tradeoff
Public and stakeholder input mechanisms
Recommendations for algorithm creators
Equity and utility tradeoff
Decision explained ability
International best practices
Voluntary input systems
Work in progress
Taught by
Stanford HAI
