Osonde A. Osoba

Paul K. Davis

Angela O'Mahony

Timothy R. Gulden

Katharine Sieck

Social-behavioral modeling is famously hard. This report examines shortcomings and obstacles--some inherent to complex adaptive systems broadly and some due to current methods and practices--then discusses steps that deserve priority attention.

Priority Challenges for Social and Behavioral Research and Its Modeling

William Welser IV

Machine learning algorithms and artificial intelligence influence many aspects of life today. This report identifies some of their shortcomings and associated policy risks and examines some approaches for combating these problems.

The Risks of Bias and Errors in Artificial Intelligence

An Intelligence in Our Image

Benjamin Boudreaux

Samantha Cherney

Pam A. Mueller

Jessica M. Saunders

J. Luke Irwin

This report is an examination of pathologies in social institutions' use of algorithmic decisionmaking processes. The primary focus is understanding how to evaluate the equitable use of algorithms across a range of specific applications.

A Framework for Social Applications

Algorithmic Equity

Osonde A. Osoba

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