AI, Government and the Future 

AI and the Future of Security: A Brave New World

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.

Recent Guest Brian Morrison 

This week Brian Morrison Former LLM Specialist and Liaison at the Department of the Air Force Chief Data and AI Office, joins this episode of AI, Government, and the Future to discuss the transformative potential of AI, especially generative AI, in cybersecurity and defense. We explore current and future applications of AI in the Department of Defense (DOD) and Air Force, infrastructure and policy considerations, ethical frameworks, and international collaboration around AI. Brian also shares advice for aspiring innovators looking to leverage AI for defense applications.

Click the links below: 


Los Alamos National Lab Unveils New Supercomputer Primed For AI - Nextgov/FCW

Los Alamos National Laboratory unveiled the Venado supercomputer with NVIDIA’s Grace Hopper Superchips and Hewlett Packard Enterprise's Slingshot 11 network, specializing in AI and machine learning for national security and scientific research. Tests showed success in simulations and workflow efficiency. It’s AI capabilities anticipate significant contributions in different field.

The Number

$110 million 

The United States and Japan partner with tech companies for $110 million AI research, joined by universities like Carnegie Mellon and Keio University. Strategy includes large language models, AI workforce development, and AI use in robots. It's part of a broader move to collaborate with allies on AI by the Biden administration.


United States: Unraveling The Legal And Regulatory Maze Of Generative AI : 10 Areas To Watch - mondaq 

During the ANA Advertising Law 1- Day Conference, Intellectual Property Partners discussed legal and regulatory challenges of generative AI (GenAI) in the marketing and advertising industry. Issues like copyright, confidentiality, privacy, and publicity rights arise due to GenAI. Its rapid development signifies the need for legal frameworks' pace with technology. GenAI has widespread use across industries, each posing different legal issues. Cases related to GenAI include photo scraping, book copying, deep fakes, etc. Also, debate exists whether AI-generated content should be protected under copyright laws. The European Union’s (EU) AI Act regulates AI according to their level of risk, mandating human oversight and data governance, and banning AI systems posing unacceptable risk. The Federal Trade Commission (FTC) focuses on protecting consumers from potential harm and has taken actions accordingly. Various US states and other countries like China and Canada have proposed or implemented legislation addressing AI issues. The approach towards regulating AI is potentially risk based. Understanding the legal, regulatory landscape of GenAI is crucial as it continues to evolve and integrate into various industries.

North Carolina Completes Transition To Next-Generation 911 - StateScoop

North Carolina completes modernization of emergency response to next-gen 911 platform, joining 10 other states. As of now, no state accepts photos, videos from callers. Upgraded 911 network includes all state-funded emergency centers. New system allows faster, resilient digital information flow and has high-speed network connections for back-up. North Carolina's network monitoring center opened in 2019, tracks service and performance across the state. The current estimated annual spending on next-gen 911 is $32 million. North Carolina's 911 board is developing a statewide geospatial database for accurate caller location.