Resource Hub
2467 hand-picked resources, updated every week. Search it, filter it, or just browse a collection and see what catches your eye. Want today’s headlines instead? Read the free AI news feed.
Filtered by tag
Answers come only from resources in this hub, with the sources listed underneath.
10 resources
Home page of NIST's Center for AI Standards and Innovation, the U.S. government office working with industry on AI measurement, evaluations and standards.
The US government's public library of cybersecurity standards, guidance and publications, including the SP 800 series, project pages, news and events.
From the site: CSRC provides access to NIST's cybersecurity- and information security-related projects, publications, news and events.
Why I recommend it: Free and public, no account needed. This is the primary source behind most security "best practice" advice you will read elsewhere, so cite it directly rather than a blog summarising it.
IEEE's research library of journal articles, conference papers and standards across computing, electrical engineering, AI and robotics.
From the site: Search and browse IEEE journals, conference proceedings and standards; abstracts are free, full text usually requires a subscription or purchase.
Why I recommend it: Paywall warning: searching and reading titles, abstracts and citations is free, but most full papers need a subscription, an institutional login or a per-article purchase. Some papers are open access and free in full. Check your school or public library for access before paying, and look for the same paper on the author's own site or arXiv first.
The US government's voluntary framework for identifying and managing AI risk, plus its playbook of concrete practices. Free.
Why I recommend it: The one your employer's legal team is most likely already citing. Useful vocabulary if you want to raise AI risk at work and be taken seriously.
An open format for telling coding agents how to work in your repository, now used by tens of thousands of open-source projects.
From the site: AGENTS.md is a simple, open format for guiding coding agents. Think of it as a README for agents.
Why I recommend it: If you're experimenting with AI coding tools, this is the convention to follow so your instructions actually get read.
The stewards of the Open Source Definition, with plain-language explanations of every approved licence and guidance on choosing one for your own project.
Why I recommend it: Read this before you publish code or a template — the license you pick decides what others can legally do with your work.
A free open format for writing structured assumptions and requirements next to the code itself, so AI coding agents build against stated rules rather than guesses.
Why I recommend it: Relevant even if you do not write code: it is a clear example of writing requirements precisely enough that a machine can follow them.
Coalition advocating for safety standards and guardrails on AI systems.
Jake Taylor argues that public, standardized AI testing with formal reasoning checks is needed to close the widening "verification asymmetry" between AI capability and oversight.
Why I recommend it: If you want to work in AI governance or assurance, this is the vocabulary hiring managers use — verification, benchmarks, interpretability.
Nonprofit network behind the B Corp certification, helping businesses balance profit and purpose through verified social and environmental standards.
In plain terms: This nonprofit organization certifies companies that meet verified social and environmental standards. You can search a global directory of certified employers or use their guides and tools to measure and certify your own business.
Why I recommend it: Their free impact assessment is a useful business health check even if you never certify.
