Plain English Translations
Complex policy documents simplified into actionable guidance for independent developers.
Regulatory Frameworks
EU AI Act: Developer's Summary
A plain-language breakdown of the EU's landmark AI regulation. Understand risk categories, prohibited practices, and compliance requirements without the legal jargon.
- • Risk classification tiers explained
- • High-risk system requirements
- • Transparency obligations
- • Penalties and enforcement
NIST AI Risk Management Framework
The US voluntary framework for managing AI risks. We break down the core functions (Govern, Map, Measure, Manage) into practical implementation steps.
- • Framework structure overview
- • Governance recommendations
- • Risk assessment methods
- • Continuous monitoring practices
The Bletchley Declaration Explained
28 countries agreed on AI safety principles. Learn what this historic declaration means for developers and how it shapes the global regulatory landscape.
- • Key commitments and principles
- • Signatory responsibilities
- • Implications for developers
ISO/IEC AI Standards Overview
International standards for AI systems including ISO/IEC 42001 (AI Management Systems) and related frameworks. Understand certification paths and best practices.
- • ISO/IEC 42001 requirements
- • Certification process
- • Implementation guidance
Whistleblower Support (Pre-release)
Whistleblower Safety Checklist
Printable checklist and planning notes to prepare safe reporting.
Open Checklist →Decision Guide
A short stepper to consider internal vs external pathways and urgency.
Start Guide →Template Letters
Employer notice, regulator intake, and counsel outreach (with redaction placeholders).
View Templates →Get Help Now
Vetted hotlines and NGOs for immediate support, organized by region.
See Contacts →Practical Guides
Do's & Don'ts: API Wrappers
Quick reference for developers integrating third-party AI APIs. What you need to document, disclose, and consider.
View Guide →Do's & Don'ts: User Data
Handling user data in AI applications. Consent, storage, processing, and deletion best practices simplified.
View Guide →Do's & Don'ts: Model Cards
Creating effective model documentation. What to include, how to format, and why transparency matters.
View Guide →Bias Assessment Checklist
A practical checklist for identifying and mitigating bias in your AI applications. Step-by-step process for small teams.
View Checklist →Transparency Statement Template
A fill-in-the-blank template for creating AI transparency statements for your product or service.
View Template →Incident Response Playbook
What to do when things go wrong. A simplified incident response framework for AI-related issues.
View Playbook →External Resources
The following are links to official sources and reputable third-party resources. We are not affiliated with these organizations.
Official EU AI Act documentation
Official NIST guidance
Multi-stakeholder AI responsibility resources
Learn from real-world AI failures
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