Lawmakers are worried the National Institute of Standards and Technology’s planned grant to the RAND Corp. lacks transparency.
OpenAI, Google, and Microsoft Back Bill to Fund ‘AI Literacy’ in Schools
A new bill introduced by Senators Adam Schiff and Mike Rounds would award grants to the National Science Foundation—which has endured massive funding cuts under the Trump Administration for science research—to put “AI literacy” in schools.
Key Congress staffers in AI debate are funded by tech giants like Google and Microsoft
Big tech companies are funneling money through a science nonprofit to help pay the salaries of AI staffers in Congress — and it’s just one example of the increasing influence outside-funded fellows are exerting on tech policy in Washington.
As more Americans adopt AI tools, fewer say they can trust the results | TechCrunch
AI adoption is rising in the U.S., but trust remains low, with most Americans concerned about transparency, regulation, and the technology’s broader societal impact, according to a new Quinnipiac poll.
No. 017: Science EIC contra AI hype, data poisoning of research agents, Vancouver Standard for AI disclosure - The Hallway Track
The Hallway Track No. 017 - How AI is affecting the practice of science
Americans for Responsible Innovation on Twitter / X
NEW: Today ARI released a blueprint for federal AI governance, including three pillars that promote safe frontier AI development: ✅ Standards set by the government ✅ Independent assurance they are met ✅ Transparency into frontier AI development https://t.co/s2mlUP27Wm pic.twitter.com/X6IhBS9jKF— Americans for Responsible Innovation (@americans4ri) August 10, 2026
The Risks of Industry Influence in Tech Research
Emerging information technologies like social media, search engines, and AI can have a broad impact on public health, political institutions, social dynamics, and the natural world. It is critical to develop a scientific understanding of these impacts to inform evidence-based technology policy that minimizes harm and maximizes benefits. Unlike most other global-scale scientific challenges, however, the data necessary for scientific progress are generated and controlled by the same industry that might be subject to evidence-based regulation. Moreover, technology companies historically have been, and continue to be, a major source of funding for this field. These asymmetries in information and funding raise significant concerns about the potential for undue industry influence on the scientific record. In this Perspective, we explore how technology companies can influence our scientific understanding of their products. We argue that science faces unique challenges in the context of technology research that will require strengthening existing safeguards and constructing wholly new ones.
Using X-Labs to Unleash AI-Driven Scientific Breakthroughs | IFP
How to adapt our science funding mechanisms to the unique infrastructure needs of large-scale AI projects
The Due Process Deficit: Auditing AI Governance in U.S. Higher Education
As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.
Security incident disclosure — July 2026
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
AI for Science & Safety Nodes - Request for Proposals
Artificial intelligence is accelerating the pace of discovery across science and technology. But today’s AI ecosystem risks centralizing compute, talent, and decision-making power – concentrating capabilities in ways that could undermine both innovation and safety.
AI Is Changing Who Wins Research Grants
A new study from the Northwestern Innovation Institute finds that proposals showing stronger signs of AI-assisted writing were more likely to receive support from the National Institutes of Health, while also tending to align more closely with ideas that had already been funded.
Teaching AI How Science Actually Works | IFP
How block-grant labs can generate the real-world data AI needs to do science
White Paper on Public AI – Open Future
Today's AI landscape is dominated by a few tech companies. This White Paper presents an alternative: Public AI systems built on transparency, democratic governance, and open access to critical infrastructure.
The Rise of Large Language Models and the Direction and Impact of US Federal Research Funding
Federal research funding shapes the direction, diversity, and impact of the US scientific enterprise. Large language models (LLMs) are rapidly diffusing into scientific practice, holding substantial promise while raising widespread concerns. Despite growing attention to AI use in scientific writing and evaluation, little is known about how the rise of LLMs is reshaping the public funding landscape. Here, we examine LLM involvement at key stages of the federal funding pipeline by combining two complementary data sources: confidential National Science Foundation (NSF) and National Institutes of Health (NIH) proposal submissions from two large US R1 universities, including funded, unfunded, and pending proposals, and the full population of publicly released NSF and NIH awards. We find that LLM use rises sharply beginning in 2023 and exhibits a bimodal distribution, indicating a clear split between minimal and substantive use. Across both private submissions and public awards, higher LLM involvement is consistently associated with lower semantic distinctiveness, positioning projects closer to recently funded work within the same agency. The consequences of this shift are agency-dependent. LLM use is positively associated with proposal success and higher early-stage publication output at NIH, whereas no comparable associations are observed at NSF. Notably, the productivity gains at NIH are concentrated in non-hit papers rather than the most highly cited work. Together, these findings provide large-scale evidence that the rise of LLMs is reshaping how scientific ideas are positioned, selected, and translated into publicly funded research, with implications for portfolio governance, research diversity, and the long-run impact of science.
Humanity AI Announces More Than $18 Million in New Grants to Shape AI for the Public Good - Humanity AI
Humanity AI Announces More Than $18 Million in New Grants to Shape AI for the Public Good Pooled philanthropic fund […]
No. 009: AI agents p-hacking, submission surge data, Gemini for Science - The Hallway Track
The Hallway Track No. 009 - How AI is affecting the practice of science
