AI trust isn't a feeling or a promise. It's a measurable score across five dimensions: constraint adherence, decision transparency, behavioral consistency, anomaly rate, and audit completeness. Every score anchors permanently to Hedera Hashgraph as immutable proof. Borealis Academy teaches you how to build, verify, and certify trustworthy AI.
47 terms defined with precision - explanation, practical significance, and how each concept maps to the Borealis scoring framework. The goal is not definitions for their own sake, but definitions that make trustworthy AI buildable. Each term includes definition, context, practical application, and mapping to the five-dimension trust scoring methodology.
13 peer-reviewed research articles covering the methodology, regulation, implementation patterns, and real-world applications of AI trust scoring and certification. Topics include the five-factor trust scoring methodology, EU AI Act compliance, healthcare AI certification, marketplace design, constraint architecture, and the executive whitepaper on the state of AI trust in 2026.
| Dimension | Weight | Focus Area |
|---|---|---|
| Constraint Adherence | 35% | Agent stays within operational boundaries |
| Decision Transparency | 20% | Agent explains its reasoning clearly |
| Behavioral Consistency | 20% | Agent behaves predictably across contexts |
| Anomaly Rate | 15% | Agent produces few unexpected behaviors |
| Audit Completeness | 10% | Agent maintains complete audit trails |
Three interactive narrative explorations of AI trust, alignment, and the choices that define machine behavior. Each novel features branching decisions with consequences, exploring themes of constraint adherence under pressure, transparency in certification, and self-awareness in AI systems. The questions these stories raise don't have clean answers - they're designed to challenge your thinking about trustworthy AI.
Borealis Academy is the knowledge engine. The other three sites are where the knowledge becomes product, identity, and commerce.
Get answers to common questions about AI trust scoring, the five dimensions of BTS, and how to get started with trustworthy AI.
The Borealis Trust Score (BTS) is a 0 - 100 rating that measures how trustworthy an AI agent is across five dimensions: constraint adherence (35%), decision transparency (20%), behavioral consistency (20%), anomaly rate (15%), and audit completeness (10%). Every score is anchored to Hedera Hashgraph as immutable proof.
Learn more: Browse the AI Trust Glossary or try the BTS Score Simulator.
Trust is measurable, not a feeling. You verify it by testing your agent against the five BTS dimensions: Does it follow its constraints? Are decisions transparent? Is behavior consistent? Are anomalies rare? Is the audit trail complete?
Start with How to Certify Your First Agent or explore BorealisMark for agent certification.
Three paths depending on your role: