AI, Government and the Future

Welcome to our weekly dive into the exciting world of Artificial Intelligence (AI) and its impact on the U.S. Government!

AI is progressing at an incredible pace, and we're just scratching the surface. With so much information out there, it can be overwhelming to keep up.

We're here to provide you with insightful analysis and a concise summary, delivered to you on a regular basis. Stay informed, stay up-to-date, and join us on this thrilling journey into the future of AI.

Episode 32 Recap: Nathan Manzotti, Director of Data Analytics and AI Centers of Excellence at Technology Transformation Services (TTS)

Nathan Manzotti joins this episode of AI, Government, and the Future, exploring the current state and future potential of AI in the federal government. Nathan explores GSA's role in enabling AI adoption across agencies, key initiatives like AI training and communities of practice, and the challenges of attracting AI talent in government. Nathan also shares his insights on the need for collaboration between government, industry, academia, and nonprofits to drive responsible AI innovation.

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Spotlight

California Faces Data Infrastructure Hurdles in Advancing AI

The role of Chief Data Officers has expanded to include tasks such as improving data infrastructure, facilitating data sharing, and preparing data for AI consumption. California officials emphasize the importance of collaboration among Chief Data Officers to prepare for AI, strengthen data infrastructure, and bridge data silos. However, the state's complex data governance policies, exemplified by the Cradle-to-Career data system, can limit progress. Establishing shared definitions and data-sharing agreements are important steps for addressing statewide data initiatives. Additionally, Chief Data Officers should work closely with other officers such as Chief Information Officers and Chief AI Officers to manage and protect citizen data.

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The Number 

$12.1 Billion 

The generative AI in the public sector market is expected to grow at a CAGR of 21.6% from 2024 to 2033, reaching a value of USD 12.1 billion. North America currently holds the largest market share at 38.2%. Government agencies are adopting Generative AI to improve service delivery, operational efficiency, and decision-making processes. The primary drivers of adoption include the need for enhanced productivity and service quality. However, there is a need for more guidance on how to use generative AI in the public sector, and there is a skills gap in the existing workforce. The software segment dominates the market, with cloud-based deployment emerging as the preferred approach. The government services and administration segment lead in terms of applications. North America remains dominant due to its technological infrastructure, supportive government policies, and strong public-private sector collaborations. Key market players include IBM, Microsoft, Google Cloud, Amazon Web Services, and SAS. 

In-Depth 

Agencies Focus on National Security and AI Directives 

The US Department of Commerce (DOC) and the Office of the Director of National Intelligence (ODNI) have taken several AI-related measures in line with national security directives. The Department of Commerce's Artificial Intelligence Safety Institute (AISI) has established the TRAINS Taskforce to research and test AI models for national security and public safety. The ODNI has released guidance on the acquisition and use of foundation AI models. The Interim Guidance clarifies the parameters for the intelligence community to lawfully use AI in intelligence activities. These actions align with the whole-of-government approach to AI safety and governance outlined in executive orders. The private sector is also actively coordinating with government stakeholders, while companies supplying AI models may face complex challenges during the procurement process.

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The Growing Role of the International Energy Agency in Global Energy Governance

The United States recognizes the important role that the International Energy Agency (IEA) plays in ensuring energy security and stability. The IEA has been instrumental in addressing global energy disruptions and coordinating efforts to maintain energy stability. The United States appreciates the IEA's focus on emerging challenges, such as supply chains and critical mineral diversification. The rise of AI presents both opportunities and challenges for the energy sector. AI tools are already being used to improve supply and demand forecasting, facilitate demand response, and enable proactive maintenance of grid infrastructure. The United States is committed to supporting the responsible development of AI and has launched initiatives to collaborate on AI development. However, the electric grid faces serious challenges due to increasing demand from AI, electric vehicles, manufacturing, and renewable power storage. AI can also provide solutions to these challenges. The United States hopes to develop AI responsibly and sustainably, using it as a demand signal for faster, cleaner and more reliable energy deployment. The United States also anticipates AI growth stimulating the deployment of new nuclear technologies. The United States affirms the IEA's important role in navigating the challenges and opportunities that AI presents and hopes that the IEA will use its influence to promote the deployment of sustainable and reliable energy to power AI. In summary, the rise of AI presents an opportunity to build a more affordable, sustainable, and secure energy system if deployed thoughtfully and responsibly.

Read More - stategov