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1
Introduction
2
Algorithms in Court
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What is an algorithm
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Algorithms and governance
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Research
6
Background
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What happened over this period
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Factors that make a difference
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Lessons learned
10
Design allocates attention
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Questions
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Argument for age matching
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Good vs perfect tradeoff
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Public and stakeholder input mechanisms
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Recommendations for algorithm creators
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Equity and utility tradeoff
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Decision explained ability
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International best practices
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Voluntary input systems
20
Work in progress
Description:
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. Read more

Governing an Algorithm in the Wild - Seminar with David Robinson

Stanford University
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