Building the safety foundations for India’s agentic future

The lethal trifecta for AI agents: private data, untrusted content, and external communication

If you are a user of LLM systems that use tools (you can call them “AI agents” if you like) it is critically important that you understand the risk of …

AI Principles

Thomson Reuters drafted these AI principles to promote trustworthiness in the continuous design, development, and deployment of AI.

An End-to-End View of AI Safety

In this blog, Rachel Coldicutt OBE, Executive Director, Careful Industries discusses our newly published literature review on the safe adoption of artificial intelligence in engineered systems.

The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems

Agentic AI systems are increasingly capable of performing professional and personal tasks with limited human involvement. However, tracking these developments is difficult because the AI agent ecosystem is complex, rapidly evolving, and inconsistently documented, posing obstacles to both researchers and policymakers. To address these challenges, this paper presents the 2025 AI Agent Index. The Index documents information regarding the origins, design, capabilities, ecosystem, and safety features of 30 state-of-the-art AI agents based on publicly available information and email correspondence with developers. In addition to documenting information about individual agents, the Index illuminates broader trends in the development of agents, their capabilities, and the level of transparency of developers. Notably, we find different transparency levels among agent developers and observe that most developers share little information about safety, evaluations, and societal impacts. The 2025 AI Agent Index is available online at https://aiagentindex.mit.edu

The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems

Agentic AI systems are increasingly capable of performing professional and personal tasks with limited human involvement. However, tracking these developments is difficult because the AI agent ecosystem is complex, rapidly evolving, and inconsistently documented, posing obstacles to both researchers and policymakers. To address these challenges, this paper presents the 2025 AI Agent Index. The Index documents information regarding the origins, design, capabilities, ecosystem, and safety features of 30 state-of-the-art AI agents based on publicly available information and email correspondence with developers. In addition to documenting information about individual agents, the Index illuminates broader trends in the development of agents, their capabilities, and the level of transparency of developers. Notably, we find different transparency levels among agent developers and observe that most developers share little information about safety, evaluations, and societal impacts. The 2025 AI Agent Index is available online at https://aiagentindex.mit.edu

The 2025 AI Agent Index Documenting Technical and Safety Features of Deployed Agentic AI Systems

Agentic AI systems are increasingly capable of performing professional and personal tasks with limited human involvement. However, tracking these developments is difficult because the AI agent ecosystem is complex, rapidly evolving, and inconsistently documented, posing obstacles to both researchers and policymakers. To address these challenges, this paper presents the 2025 AI Agent Index. The Index documents information regarding the origins, design, capabilities, ecosystem, and safety features of 30 state-of-the-art AI agents based on publicly available information and email correspondence with developers. In addition to documenting information about individual agents, the Index illuminates broader trends in the development of agents, their capabilities, and the level of transparency of developers. Notably, we find different transparency levels among agent developers and observe that most developers share little information about safety, evaluations, and societal impacts. The 2025 AI Agent Index is available online at https://aiagentindex.mit.edu.

EA Safety

EA promises to solve AI Safety. Now we have two problems.

AI agents pose untold risk to humanity. We must act to prevent that future | David Krueger

The pieces are falling into place for autonomous artificial intelligence. We must stop unregulated development

Online Trust and Safety Hub: Stay Safe Online | Internet Society

Learn how to stay safe online, protect your privacy, spot scams, identify false information, and build safer digital habits.

The AI shift in cyber risk: why leaders must act now

Five Eyes cyber security agencies urge organisations to act on rapidly transforming cyber risk.

​​Artificial Intelligence Safety and Security License Requirements

​​Artificial Intelligence Safety and Security License Requirements Artificial Intelligence (AI) is now broadly capable, which can produce both benefits and dangers. AI will hasten the design and proliferation of bioweapons, cyberweapons, nuclear weapons, progressively more general intelligence,...

Google for Developers Blog - News about Web, Mobile, AI and Cloud

Explore how Google, Amazon, and Cisco form the Agent2Agent Foundation under the Linux Foundation to drive AI innovation via interoperability as an industry standard.

Analytics India Magazine — India's Leading AI & Data Science Media Platform

India's Leading AI & Data Science Media Platform

Inside India’s scramble for AI independence

Structural challenges and the nation’s many languages have made it tough to develop foundational AI models. But the government is keen not to be left behind.

Strengthening AI Foundations: Emerging Opportunities for Developing Countries

The World Bank’s Digital Progress and Trends Report 2025 explores how AI is accelerating growth in developing countries, while highlighting persistent gaps in access, infrastructure, and skills. Discover key trends, challenges, and the ‘Four Cs’ needed to strengthen AI foundations globally.