Perspective: Domestic
Assessing and Suing an Algorithm Perceptions of Algorithmic Decision-making
Artificial intelligence (AI) algorithms are permeating nearly every domain of human activity, including processes that make decisions about interests central to individual welfare and well-being. How do public perceptions of algorithmic decision-making in these domains compare with perceptions of traditional human decision-making? What kinds of judgments about the shortcomings of algorithmic decision making processes underlie these perceptions? Will individuals be willing to hold algorithms accountable through legal channels for unfair, incorrect, or otherwise problematic decisions?
Improving Employment Outcomes for the Federal Bureau of Prisons' Returning Citizens
To explore challenges and opportunities associated with improving employment outcomes among BOP releasees, the National Institute of Justice — supported by the RAND Corporation, in partnership with the University of Denver — hosted a virtual workshop of BOP staff, community-based reentry service providers, researchers, national employers, and other experts. This report summarizes discussion points from the workshop and presents a wide-ranging set of needs identified by workshop participants.