AI Principles

AI Principles

A guiding framework for our responsible development and use of AI, alongside transparency and accountability in our AI development process.

AI Policy - Taylor & Francis

Learn about Taylor & Francis' AI Policy, which provides guidelines on the ethical use of artificial intelligence in research, publishing, and content creation to maintain integrity and transparency.

Responsible AI Principles and Approach | Microsoft AI

Discover Microsoft AI tools, industry-specific governance solutions, and responsible AI practices to make smarter, more informed decisions about AI implementation.

Responsible AI

Discover how AWS is committing to developing AI responsibly – to built trust, promote the safe development of AI, and act as a force for good.

BBC AI Principles

Our BBC AI Principles are at the heart of our approach to using AI responsibly and apply to all use of AI at the BBC. They underpin the BBC’s public commitments about how we will use Generative AI.

Building the safety foundations for India’s agentic future

Last year, through Google’s Safety Charter for India’s AI-led transformation, we set out our commitment to building trust into India’s digital growth. We also showed how…

39 principles for designing human-AI interaction

An applied framework for designing AI interfaces that support appropriate reliance, user control, transparency, and responsible autonomy.

Why I don’t trust most human-AI interaction experimental research – Jason Collins blog

Behavioural economics, data science and artificial intelligence.

Responsible use of AI in the military? US publishes declaration outlining principles

12 "best practices" for using AI and autonomous systems emphasize human accountability.

How do authors want to use AI for review?

A survey of researchers who compared AI-generated scientific reviews with journal-agnostic human peer review reveals that they overwhelmingly prefer using AI as a self-checking tool before submission rather than as a replacement for human reviewers. It encourages an “author-centric” model in which AI helps researchers improve their manuscripts before they are reviewed by their peers.

AI Agent Standards: Navigating New NIST Governance | Nemko Digital

NIST's new AI agent standards are here. Learn what they mean for AI governance, compliance, and liability. Get ahead of the new regulations.

A PM's Guide to AI Agent Architecture: Why Capability Doesn't Equal Adoption

A complete guide to agent architecture, orchestration patterns, trust strategies, and adoption plans for PMs building AI agents.

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.

We build AI that works for humans

Imbue builds AI to help people think, create, and build. We share our tools openly because we believe progress in AI should be collaborative and developer-driven