Building Trust in AI Systems
In 2025, the AI Trust Framework establishes 12 global standards for transparency, accountability, and ethical deployment of AI systems. This framework aligns with GDPR, CCPA, and national AI regulations across 22 countries.
Framework Overview
Transparency
Mandatory documentation of algorithmic decision-making processes for high-risk systems.
Accountability
Legal responsibility for AI outcomes with human oversight requirements.
Privacy
Strict data protection requirements aligned with global privacy laws.
Fairness
Bias detection and mitigation requirements for training data and algorithm outcomes.
Security
Cybersecurity requirements for AI infrastructure and model protection.
Interoperability
Standardized data formats and API designs for cross-system compatibility.
Implementation Roadmap
Assessment
Conduct gap analysis of current systems against framework requirements.
Implementation
Develop technical tools and processes to meet framework requirements.
Monitoring
Establish continuous audit systems for ongoing compliance verification.