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2024

The Digital Ecosystem: A Competitive Battleground Equivalent to the Physical Domain

In the last two decades, and more prominently over the past five years, the digital ecosystem has morphed into a competitive battlespace arguably on par with the physical domain. The near-universal presence of internet connectivity, linking approximately 17 billion devices to the internet as of this year, creates enormous opportunities and challenges. The original article can be found here .

Developing Trustworthy AI Standards: ITI Provides Recommendations for NIST The Information Technology Industry Council (ITI) has released its proposed recommendations for the National Institute of Standards and Technology (NIST) on the development of trustworthy artificial intelligence (AI) standards. ITI emphasizes the importance of collaboration with international counterparts to formulate a risk management framework for generative AI systems, fostering global alignment and transparency. The council also highlights the need for proportionate evaluation and auditing guidelines to strike a balance between effective risk management and innovation. With robust standards in place, the responsible and secure use of AI can be ensured as we enter the era of AI technology.

NIST Encouraged to Develop AI Standards Based on ITI Recommendations

The Information Technology Industry Council (ITI) has made public its proposed recommendations for the implementation by the National Institute of Standards and Technology (NIST) of its responsibilities in encouraging secure and trustworthy usage and development of artificial intelligence (AI) technologies.

Network Integration & Engineering Facility CANES Lab Unveiled by U.S. Navy in Virginia

The U.S. Navy has inaugurated the Network Integration and Engineering Facility Consolidated Afloat Networks and Enterprise Services, or NIEF CANES, a laboratory housed at the Naval Station Norfolk in Virginia. The lab is envisioned to provide access to CANES systems pre-loaded for training purposes and to assist in the validation and updating of Integrated Logistics Support (ILS) documentation, technical manuals, maintenance requirements, and engineering resources. The original article can be found here .

Thales Inks £1.8 Billion Deal with UK for AI-based Maintenance of Royal Navy’s Fleet

Thales Utilizes AI and VR for Proactive Naval Maintenance

Under a newly launched support program, Thales is set to utilize data technology, including artificial intelligence (AI) and virtual reality (VR), to enhance the maintenance processes of naval fleets. This development aligns with the broader trend towards leveraging technology for proactive and predictive maintenance within the defense sector.

The Future of Federal AI: Predictive, AI Ops, and Generative AI Take Center Stage Federal agencies are increasingly exploring the use of artificial intelligence (AI) to address a wide range of challenges. There are three key types of AI being utilized: predictive AI, AI ops, and generative AI. Predictive AI is commonly used for chatbots, providing faster and more accurate customer service. AI also plays a significant role in surveillance and identification systems, as well as case management systems for trend analysis and sorting. AI ops involves continuous analysis of data flows to detect anomalies and automatically take corrective measures. Lastly, generative AI, while still evolving, is being cautiously adopted by federal agencies, with careful consideration of language models used and the need for substantial computing resources. Overall, the future of federal AI involves understanding the benefits and challenges, and embracing the rapid development and available solutions.

The Evolution of Federal AI: Speed and Caution

As the use cases of artificial intelligence (AI) diversify across sectors, federal agencies face the dual challenge of swiftly adopting AI advancements while exercising prudence, with an emphasis on the cautious deployment of generative AI models.

The Risk Landscape of ChatGPT in Federal Agencies The use of generative AI tools like ChatGPT in federal agencies has prompted various levels of action and response. While some agencies have implemented policies or temporary bans, others have established secure testing environments or created boards to review potential use cases. Different agencies face unique risks and opportunities when it comes to generative AI. The Biden administration’s executive order on AI discourages outright bans, instead emphasizing limited access, data protection, and preventive measures against misuse. The approaches to generative AI vary across agencies, with considerations such as employee guidance, risk assessment, sandbox environments, and relationships with generative AI providers.

Generative AI Strategies Vary Across CFO Act Agencies

Artificial Intelligence (AI) continues to influence federal operations, with generative AI strategies being developed across a majority of civilian federal agencies governed by the Chief Financial Officers (CFO) Act, according to an analysis conducted by FedScoop.

Addressing AI Risks: Insights from Stephen Welby, OSTP Deputy Director

White House Prioritizes AI as an Instrument for Maintaining U.S. Global Leadership

Artificial intelligence (AI) has been spotlighted as a crucial technology of our era by Stephen Welby, deputy director for national security within the White House’s Office of Science and Technology Policy (OSTP). He confirms that the Biden administration views AI as a major element in securing America’s global leadership.

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