among individual agents, as well as the collective effect of such interactions on risks to the privacy, security, and accuracy of such applications over time. (C) The effect of increased agency in artificial intelligence-enabled military applications and how such increased agency may affect the ability to detect and assess new, complex, and emergent behavior, as well risks to the privacy, security, and accuracy of such applications over time. (3) An assessment of the survivability and traceability of decision support systems that are integrated with artificial intelligence-enabled military applications and used in a contested environment. (4) An identification of existing artificial intelligence metrics, developmental, testing and audit capabilities, personnel, and infrastructure of the Department of Defense, including test and evaluation facilities of the Department, needed to enable ongoing assessment under paragraphs (1) through (3). (5) An identification of any research gaps necessary to be filled to sufficiently carry out the assessments and identifications required under paragraphs (1) through (3) that are not currently, or not sufficiently, funded within the Department of Defense. (c) Interim briefing Not later than 180 days after the date of the enactment of this Act, the Chief Digital and Artificial Intelligence Officer shall provide to the congressional defense committees a briefing on the interim findings of the study under subsection (a). (d) Final report (1) Submission Not later than one year after the date of the enactment of this Act, the Secretary of Defense shall submit to the congressional defense committees a final report on the findings with respect to the study conducted pursuant to subsection (a). (2) Form The final report under paragraph (1) shall be submitted in unclassified form, but may include a classified annex. (e) Foundational artificial intelligence model defined In this section, the term foundational artificial intelligence model means an adaptive generative model that is trained