AI, Government and the Future

GovTech: The AI Revolution

Author

Corner Alliance
September 19, 2024

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 19 Recap: Arnold King, Former Economist, Discusses AI and Government

In the nineteenth episode of AI, Government, and the Future, Arnold King, a self-employed writer and former economist at Freddie Mac and the Federal Reserve Board, joins to discuss the transformative potential of AI in government and society. King delves into the future of personalized learning and teaching through AI chatbots, offering insights on how they can revolutionize education. He also addresses the complex role AI plays in ongoing culture wars and the challenges of navigating the fine line between fostering innovation and ensuring adequate regulation of AI technologies. 

Click the links below: 

Spotlight

DHS S&T Advances Data Solutions in Cybersecurity, Privacy, and AI

The Department of Homeland Security's Science and Technology (DHS S&T) Directorate is advancing data security through its Data Autonomy initiative. This initiative grants data owners greater control over who can access and use their data, complementing existing cybersecurity approaches like zero trust. The concept, which is currently in prototype testing, is designed to empower data to manage itself. For example, data could set its expiration date or dictate the optimal format for viewing. In addition to Data Autonomy, DHS S&T is developing privacy-enhancing technologies such as homomorphic encryption, which allows data to be accessed and analyzed without compromising security. The directorate is also exploring synthetic data for training AI and machine learning models, particularly in airport threat detection scenarios. However, DHS S&T emphasizes the importance of selecting the right solution based on the specific problem, instead of automatically turning to AI as the default.

The Number 

$430 Billion

AI server spending is projected to surge from $40 billion in 2024 to $430 billion by 2033, fueled by increasing demand for capabilities and advancements in data processing. In 2025, companies are expected to invest over $50 billion in AI servers, with that figure nearing $70 billion by 2026. To meet this growing demand, companies like Super Micro Computer and Foxconn are ramping up production, while Dell is selling servers at near-zero margins. NVIDIA's next-generation GPUs are anticipated to further drive server demand, with Google already placing orders for over 400,000 chips.

In-Depth 

Biden Admin Champions AI’s ‘Promise’ in Cyber Defense

White House officials are considering a new cybersecurity executive order focused on AI, building on early successes where AI has been used to enhance cyber defenses, such as identifying vulnerabilities and patching software. Federal leaders view AI as both a significant risk and a key opportunity, with potential applications in threat detection and securing critical sectors like energy. Despite this promise, agencies are cautious about fully integrating AI into their core cybersecurity operations, stressing the importance of responsible AI usage. The Cybersecurity and Infrastructure Security Agency (CISA) and other federal entities are collaborating with industry partners to address AI-driven threats and enhance product security. Simultaneously, experts are calling for increased research to deepen understanding of AI systems and their associated risks.

Will California’s AI Bill Reshape the Industry?

California is considering SB 1047, a bill that could establish the strictest framework for regulating AI in the US. While supporters argue that the bill is a necessary safeguard against the risks posed by AI, critics claim it may stifle innovation and damage the state’s thriving AI ecosystem. Significant amendments have been made to the bill, including the removal of a proposed regulatory agency and reduced liability for developers. Despite the changes, some detractors feel that the bill still misses the mark in addressing key issues. Governor Gavin Newsom who is facing pressure from tech leaders and fellow politicians, will ultimately decide whether to sign the bill into law.