This report examines the technical challenges associated with incorporating bulk, automated analysis of social media information into procedures for vetting people seeking entry into the United States. The authors identify functional requirements and a framework for operational metrics for the proposed social media screening capabilities and provide recommendations on how to implement those capabilities.
Machine learning algorithms and artificial intelligence influence many aspects of life today and have gained an aura of objectivity and infallibility. The use of these tools introduces a new level of risk and complexity in policy. This report illustrates some of the shortcomings of algorithmic decisionmaking, identifies key themes around the problem of algorithmic errors and bias, and examines some approaches for combating these problems.