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Quantum computing is evolving from the fantastical to the achievable. Accelerated developments show promise for leveraging quantum computing to address previously intractable problems in government. The technology can foster immense potential benefits for the public, alongside far-reaching implications from using quantum technologies are likely to be widespread. Developing “quantum-safe” capabilities is crucial to maintaining data security and integrity for critical applications. Government leaders face an urgent need to develop a quantum-safe strategy and roadmap. 

National governments have created AI-related strategies, frameworks, and guidelines on the ethical use of AI. Yet while people have faith in AI to produce good and reliable outcomes, they have questions about the safety and security of AI systems. Specifically, this concerns public trust in AI itself, and trust in government to develop mechanisms to successfully deploy and manage such a powerful technology. These issues cover trust in AI in the context of design, development, deployment, and evaluation of public services and public policy.

To understand how agencies are mobilizing cloud computing for public service, the Partnership, in collaboration with the IBM Center for The Business of Government, hosted a series of events in 2022 featuring federal IT leaders. Over the course of three webinars, we heard from the Census Bureau; the departments of Agriculture, Defense and Veterans Affairs; the Federal Emergency Management Agency; the Government Accountability Office; the National Institutes of Health; the National Oceanic and Atmospheric Administration; and the Office of Personnel Management.

The use of AI in national defense dates back more than 6 decades, but the transformational impact of this technology on defense operations only began to be realized in the past 10 years. AI-enabled solutions present significant opportunities for defense organizations to improve mission outcomes; however, leaders must be prepared to address the challenges their organizations might encounter on their AI journeys.