As leading AI developers warn that future AI systems may increasingly improve themselves with limited human intervention, new questions are emerging about oversight, accountability, and trust in the Age of Artificial Intelligence.
In response to these challenges, the Boston Global Forum (BGF) and the AI Wisdom Society (AIWS) have released AIWS Trust Standards 1.2: Frontier AI, Self-Improving AI, and Multi-Agent Systems Edition.
The new framework introduces several pioneering concepts designed for the next generation of AI systems, including:
- Human-in-Command
- Recursive Improvement Governance
- Multi-Agent Coordination Risk
- Frontier Capability Registry
- Trusted Pause Protocol
- AIWS Trust Monitoring (ATM)
The Standards also establish three foundational principles:
- Trust does not extrapolate beyond verified capability.
- Where capability outpaces verification, it is the system that must slow down.
- When intelligence and trust diverge, trust must lead.
Together with AIWS Trust Infrastructure and AIWS Trust Order, the Standards form part of a comprehensive framework that will be presented at Interop Tokyo 2026 as a practical approach to building trust in the Age of Artificial Intelligence.
As AI capabilities accelerate, AIWS advances a simple conviction:
The builders of intelligence must now become builders of trust.
Read and Download the AIWS Trust Standards 1.2: https://bostonglobalforum.org/wp-content/uploads/AIWS_Trust_Standards_1.2_EN-Official.pdf
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