In a groundbreaking move, the FDA has announced an aggressive timeline to integrate AI across all centers by June 30, 2025, following a successful pilot that significantly reduced scientific review times from days to minutes, promising to accelerate the approval process for new therapies.
The U.S. House approved a contentious 10-year AI regulation freeze, drawing criticism for hindering state consumer protections, but the measure faces an uphill battle in the Senate due to procedural hurdles.
Raft unveils groundbreaking AI and data solutions tailored for mission-critical public sector needs, offering weapons-grade platforms, agentic AI capabilities, complex software development, digital ecosystems, and artificial intelligence solutions to drive mission success.
MBZUAI unveils the Institute of Digital Public Health, harnessing AI foundation models and a data-driven approach to drive innovation across computational biology, precision medicine, infectious disease monitoring, and the UAE Genome Atlas for transformative public health solutions.
Yale's Digital Ethics Center is collaborating with state lawmakers, scholars, tech leaders, and nonprofits to develop balanced AI regulations that foster innovation while safeguarding public interests, aiming to coordinate state-level policies in the absence of federal AI legislation.
The Trump administration's deep cuts to science funding, including capping medical research grants and restricting diversity initiatives, threaten U.S. leadership in scientific research, potentially leading to layoffs and missed discoveries at agencies like the National Science Foundation.
OpenAI abandons its controversial for-profit conversion plan and keeps its nonprofit division in control after facing intense legal pressure from Elon Musk, state attorneys general, and Nobel laureates who opposed the restructuring.
A controversial startup aims to automate 70,000 federal jobs using AI agents, sparking concerns over the feasibility and reliability of deploying AI at such a massive scale across diverse agencies with varying rules and regulations.
In a controversial move, the Department of Housing and Urban Development (DOGE) has enlisted an inexperienced college student, Christopher Sweet, to lead an AI-driven effort to review and deregulate federal housing rules, raising concerns about the potential impact on housing policies.
New York City's Metropolitan Transportation Authority is considering implementing AI-enabled cameras on subway platforms to detect and alert authorities about 'problematic behavior' before any crimes occur, as part of a 'predictive prevention' approach, raising concerns about privacy and potential biases.