EMERGING TECHNOLOGY AND MODERNIZING THE ARMY
Figure 1 (Page 11) shows a cursory view of how data can be secured and safeguarded depending on the system need and risks strategies to balance value and security. Each system will have unique requirements and considerations that evolve over time.
CONCLUSION It’s no secret that the character of warfare is changing rapidly. To maintain dominance in the battlefield of tomorrow, the U.S. needs to continue to lead in developing systems on the bleed- ing edge of technology. Tis means development and inclusion of AI capabilities.
But development of AI capabilities comes with unique risks that require deliberate and appropriately scaled mitigations. Te acquisition community has the responsibility to understand the risks and employ appropriate mitigations to ensure maximum benefit for the warfighter.
THE UPPER HAND
Staff Sgt. Tessa Mehler, assigned to 2nd Squadron, 2nd Cavalry Regiment, waits for a UAS to land in her hand during Saber Strike 24 on Bemowo Piskie Training Area, Poland, April 15, 2024. To remain ahead on the battlefield, the Army must remain on the forefront of technological advancement. (Photo by Spc. Austin Robertson, 22nd Mobile Public Affairs Detachment)
For more information about the AI Layered Defense Frame- work, go to
https://www.army.mil/dasades or https://
armyeitaas.sharepoint-mil .us/sites/ASA-ALT-DASA- DESPlaybooks (CAC-enabled).
the use of the system and the interaction of people and system. Te AI Layered Defense Framework is intended to be a flexible, structured and measurable approach to address AI risks prospec- tively and continuously throughout the AI life cycle. ASA(ALT) is interested in learning more about risks associated with tradi- tional adversarial methods, such as Data Poisoning and Model Stealing, and emerging and future risks broadly associated with all branches of computer science as well as the potential for secu- rity disruption from theoretical advances in future technologies such as quantum computing.
Identifying risk is only the first step in developing and implement- ing industry-leading risk mitigation strategies and technologies. ASA(ALT) is committed to exploring computational methods for, among other things, detecting and removing “Trojaned” data among the vast public and crowdsourced data sets used to train models and detecting the creation of backdoors before deployment.
https://asc.ar my.mil 13
JENNIFER SWANSON is the deputy assistant secretary of the Army for data, engineering and software (DASA(DES)). She leads the implementation of modern software practices, including agile software development, DevSecOps, data centricity and digital engineering across the Office of the ASA(ALT). She holds an M.S. in software engineering from Monmouth University and a B.S. in industrial and systems engineering from the University of Florida. She is a DAWIA Certified Practitioner in engineering and technical management and Advanced in program management.
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