Research-backed AI, data science, public engagement, survey design, and policy advisory for UK public sector.
Driving the UK’s next chapter: From AI potential to agentic reality | Google Cloud Blog
Organizations like HSBC, Ineffable Intelligence, Starling, Vodafone, and the UK and local governments are showcasing their transformation with Google Cloud at the London Summit.
AI Economy Institute - Microsoft Research
The AI Economy Institute (AIEI) is Microsoft’s flagship think tank dedicated to shaping an inclusive, trustworthy AI economy. We building a network of scholars and convening that network with our subject matter experts to explore how artificial intelligence is transforming work, education, and productivity – and making this knowledge base available to policy-makers, educators, and […]
Open Source AI Policy Landscape — RedMonk Analysis
How foundations and projects are responding to AI-generated contributions. This analysis surveys 88 major organizations.
Funding the Commons | Public Goods Funding
We convene researchers, builders, and institutions to develop the funding mechanisms, governance systems, and coordination tools that public goods need in an age of AI.
Artificial intelligence in government: why people feel they lose control
The use of Artificial Intelligence (AI) in public administration is expanding rapidly. While AI promises greater efficiency and responsiveness, its integration into government and administration ra...
Agentic AI Governance: A Strategic Framework for Autonomous Systems
Agentic AI is moving from chat to action. Learn how to govern autonomous systems using the "Digital Contractor" framework and the 3-Tiered Guardrail system.
AI.Gov | President Trump's AI Strategy and Action Plan
Explore President Trump’s AI initiatives focused on innovation, infrastructure, international engagement, and youth education in artificial intelligence.
Women, AI, and the Power of Supporting Communities: A Digital Gender-Support Partnership
With the rapid development of the fields of data science and artificial intelligence, a dichotomy presents itself: more professionals are needed to fulfill the growing workfoce demand, and women continue to be underrepresented in all computer science-related jobs. Women AI Academy addresses both issues by inspiring, enabling, and targeting the employment of women in data science and artificial intelligence.
From chatbots to assistants: governance is key for AI agents
AI's shift into agentic technology ushers in a new set of governance and security challenges that will mean defining to what extent they should be autonomous
How public involvement can improve the science of AI
As AI systems from decision-making algorithms to generative AI are deployed more widely, computer scientists and social scientists alike are being called on to provide trustworthy quantitative evaluations of AI safety and reliability. These calls have included demands from affected parties to be given a seat at the table of AI evaluation. What, if anything, can public involvement add to the science of AI? In this perspective, we summarize the sociotechnical challenge of evaluating AI systems, which often adapt to multiple layers of social context that shape their outcomes. We then offer guidance for improving the science of AI by engaging lived-experience experts in the design, data collection, and interpretation of scientific evaluations. This article reviews common models of public engagement in AI research alongside common concerns about participatory methods, including questions about generalizable knowledge, subjectivity, reliability, and practical logistics. To address these questions, we summarize the literature on participatory science, discuss case studies from AI in healthcare, and share our own experience evaluating AI in areas from policing systems to social media algorithms. Overall, we describe five parts of any quantitative evaluation where public participation can improve the science of AI: equipoise, explanation, measurement, inference, and interpretation. We conclude with reflections on the role that participatory science can play in trustworthy AI by supporting trustworthy science.
The Ed. Dept. Wants to Steer Grant Money to AI. What That Means for Schools
The Education Department is proposing to make advancing AI in education one of its grantmaking priorities.
Impressions from visiting OpenAI, Anthropic, & Cursor
A peek into where software engineering is headed from inside the sector’s leading AI labs. Agents running in the cloud are a major trend, while coding harnesses are spreading beyond the craft
AI4PG — AI for Public Goods
AI4PG is a research initiative on AI for public goods — mechanism design for public-goods funding, impact evaluation, and resource allocation in the age of AI. Workshops and grants at ai4pg.com.
Brief: Advancing gender equality through partnerships for gender-responsive artificial intelligence
Artificial intelligence (AI) can advance gender equality but may also perpetuate inequalities if not managed properly. This UN Women publication emphasizes the need for inclusive, safe, and equitable AI systems. It highlights the private sector's role in achieving this and calls for partnerships to support women in AI leadership, foster opportunities for women entrepreneurs, bridge the gender digital divide, and ensure AI policies integrate gender dimensions.
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.
