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Intentions and Premises: An Analysis of Sustainability in U.S. Security Institutions' AI Strategies
Abstract
This chapter evaluates the sustainability premises of the strategy documents on AI for U.S. security institutions regarding intent, and foundational assumptions. While doing so, the paper covers a discussion of the position of AI in public administration and how sustainability is captured within these strategies in the security sector. These results indicate that U.S. security institutions work toward enhancing effectiveness in operations using AI, but also address the long-term, critical challenges on energy efficiency, social equity, and economic responsibility. The concept of sustainability is based on assumptions, such as the fact that AI should serve today's needs while protecting those of future generations. This can also be interpreted to mean a far stronger integration of secure-by-design principles and a much wider focus on minimizing negative societal impacts of AI. It therefore helps provide an insight into how AI governance evolves through a complex adaptive system in framing strategic foresight of sustainability in developing balanced and ethical AI applications.
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