AI COMPLIANCE
Responsible, Safe, and Trustworthy AI
When it comes to adopting AI technology, paper policies or guardrails, no matter how thoughtfully constructed, simply cannot adapt as quickly as the systems they aim to govern.
It’s time to move beyond Paper-based Governance to Operational Governance that is as intelligent as the systems they regulate.
Lean Compliance's proactive, integrative, and operational approach can help you create and protect value creation by ensuring that AI is safe, responsible, and trustworthy.
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Effectively capture and manage AI stakeholder obligations.
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Design and build AI systems that are safe, responsible, and trustworthy.
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Establish real-time, adaptive, and intelligent controls that always keep your AI between the lines, and your business ahead of risk.
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Realize AI benefits by effectively contending with both opportunities and threats.
Resources
Source | Resource |
|---|---|
AAAI | Future of AI Research |
AI Safety | AI Safety.info |
Alan Turing Institute | AI Ethics and Governance in Practice |
Alan Turing Institute | AI Standards Hub |
British Columbia Engineers and Geoscientists | Practice Advisory on use of AI in Professional Practice |
CAIDP | Center for AI and Digital Policy |
CAIS | Center for AI Safety |
Cambridge University Press | Cambridge Handbook of Law, Ethics, and Policy of Artificial Intelligence |
Canada | Artificial Intelligence Strategy for Federal Public Service |
Canada | Bill C-27 (AIDA) |
EU | EU AI Act |
EU | EU AI Compliance Checker |
FAIRLY | Fairly AI |
Harvard | Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-based Approaches to Principles for AI |
ISO | ISO 42001: AI Management System |