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With the proliferation of edge devices, securing sensitive data and ensuring privacy has become paramount. This blog explores the challenges and solutions for robust data security and privacy in edge computing environments.

New York City establishes an AI Oversight Office to monitor AI systems, audit algorithms, and set standards for responsible AI use across city agencies.

The U.S. Department of Health and Human Services (HHS) has launched its comprehensive AI Strategy, aiming to integrate artificial intelligence across its operations, research, and public health initiatives. This strategic move focuses on five key pillars to enhance healthcare delivery and efficiency.

The U.S. Department of Health and Human Services (HHS) has launched its comprehensive AI Strategy, aiming to integrate artificial intelligence across its operations, research, and public health initiatives. This strategic move focuses on five key pillars to enhance healthcare delivery and efficiency.

A bipartisan Senate group introduced the SAFE CHIPS Act to prevent the Trump administration from easing AI chip restrictions on Beijing for 2.5 years. This act targets AI chip buyers in China, Russia, Iran, and North Korea.

The US Department of State has launched the Global AI Research Agenda (GAIRA) and the AI in Global Development Playbook. These initiatives aim to guide AI research and application towards achieving the UN Sustainable Development Goals (SDGs).

Recent executive orders are strategically guiding AI’s development and integration across various sectors. These directives aim to boost AI exports, streamline data center infrastructure, ensure ethical AI use in government, and advance AI education nationwide. This blog explores the key facets of these impactful policies.

The NIST AI Risk Management Framework (AI RMF) offers a systematic approach for organizations to identify, assess, and manage AI-associated risks. Developed collaboratively, it promotes trustworthy AI through principles like transparency, fairness, and accountability. This framework is crucial for responsible AI development and deployment.

The NIST AI Risk Management Framework (AI RMF) offers a systematic approach for organizations to identify, assess, and manage AI-associated risks. Developed collaboratively, it promotes trustworthy AI through principles like transparency, fairness, and accountability. This framework is crucial for responsible AI development and deployment.