This project identifies best practices for agencies when devising and implementing systems to assess and improve the quality of decisions in high-volume adjudicative programs. It emphasizes cutting-edge techniques (including artificial intelligence) to structure the capture and analysis of data; the selection, role, and institutional placement of personnel; the use of performance metrics; efforts to ensure fairness, impartiality, efficiency, and other important institutional objectives; and the relationship between quality-assurance review and conventional appellate review.
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