The Intelligence Community Studies Board (ICSB) of the National Academies of Sciences, Engineering, and Medicine convened a workshop on December 11–12, 2018, in Berkeley, California, to discuss robust machine learning algorithms and systems for the detection and mitigation of adversarial attacks and anomalies. With funding from the Office of the Director of National Intelligence, the ICSB established a Planning Committee on Ensuring the Quality of Machine-Generated Analytic Products from Multi-Source Data: A Workshop (biographical sketches provided in Appendix A) to develop the workshop agenda (see Appendix B). The workshop statement of task is shown in Appendix C.
Workshop speakers and participants discussed research challenges related to the following topics:
During the presentations and discussion sessions, attendees were asked to address the following questions, with particular emphasis on their role for the Intelligence Community:
This proceedings is a factual summary of what occurred at the workshop. The planning committee’s role was limited to organizing and convening the workshop. The views contained in this proceedings are those of the individual workshop participants and do not necessarily represent the views of the participants as a whole, the planning committee, or the National Academies of Sciences, Engineering, and Medicine.