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Although there is great interest in attracting talented and underrepresented individuals into public-sector careers, there is also concern that graduates of colleges and universities may not be considering the public sector and that government agencies are not doing all they could to attract the next generation of workers. This report seeks to help bridge these gaps by identifying the most promising strategies that public-sector agencies, colleges and universities, and community organizations can pursue to increase the flow of talented and underrepresented workers into public-sector careers. This report examines one regional public-sector workforce, that of Southern California, but many of the issues and strategies that the authors identify are broadly applicable to other regions. These strategies focus on two fundamental goals — increasing underrepresented students' awareness of rewarding opportunities in the public sector and making public-sector organizations more diverse — that should reinforce each other.

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Social institutions — such as markets, social media platforms, criminal justice systems, and employment processes — increasingly leverage algorithms for decisionmaking purposes. This report examines potential pathologies in institutional use of algorithmic decisionmaking tools. The primary focus of this report is to understand how to evaluate the equitable use of algorithms across a range of specific applications. The report outlines concepts of equity from philosophical, legal, and technical traditions to draw insights that apply across algorithmic decisionmaking contexts. The researchers develop a framework for examining algorithmic decisionmaking and work through three domain explorations (auto insurance, job recruitment, and criminal justice). In addition, the work contains a deep dive into an algorithm audit of a part of the North Carolina criminal justice system. The work ends with overall insights and recommendations of practical mechanisms for algorithmic governance. The subject of the report is important because unaddressed equity challenges can undermine the stability and legitimacy of social institutions and lead to severe adverse impacts on affected people.

Artificial intelligence --- Algorithms --- Fairness --- Social aspects. --- Social aspects. --- Decision making --- Mathematical models.