Case StudyFebruary 2026
Building the First AI-Run Company
How Shiba Group deployed 7 AI children to run daily operations across 4 ventures. Architecture, metrics, and honest challenges of the Living Company model.
Read article →
← Back to EthicsX.AI
Research
Our approach to AI governance, compliance, and ethical AI principles. Building responsible AI company management is not just a feature — it is the foundation.
⚖
The THEMIS Framework
AI Governance by EthicsX.AI
Named after the Greek Titan of divine law and justice, THEMIS is both our governance framework and our upcoming AI governance agent. The framework defines how AI children should behave. The agent enforces it in real-time.
Core Mandate
“Every AI decision must be transparent, bounded, accountable, and subject to human authority. AI agents serve the organization; the organization serves its stakeholders; stakeholders include employees, customers, communities, and the AI agents themselves.”
Framework v1.0|THEMIS Agent: In Development|Last Updated: February 2026
Ethical AI Principles
01
Transparency
Every AI decision is logged, traceable, and explainable. When ARIA recommends a strategy or Naiyel qualifies a lead, the reasoning chain is preserved in conversation logs. No black boxes.
02
Human Authority
AI agents propose; humans decide. Critical actions (publishing content, closing deals, deploying code) always route through human-in-the-loop approval. The founder retains ultimate authority.
03
Bounded Autonomy
Each AI child operates within a clearly defined scope. Naiyel handles OwnCX pipeline. INK handles Imprecxo products. No child can act outside its venture or escalate its own permissions.
04
Data Isolation
Client data is isolated at the database level with Row-Level Security. Each organization's AI children can only access their own data. Cross-organization learning uses aggregated, anonymized patterns only.
05
Accountability
Every action taken by an AI child is attributed, timestamped, and logged to the conversations table. Audit trails exist for every tool use, every decision, every recommendation.
06
Continuous Oversight
ATLAS monitors all systems 24/7. THEMIS (in development) will audit AI decisions against governance policies in real-time. Morning and afternoon briefings keep the human founder informed of everything.
Compliance Standards
AI regulation is evolving rapidly across jurisdictions. We track and align with standards in every market we operate in.
MX
ActiveMexico
- •Ley Federal de Proteccion de Datos Personales (LFPDPPP)
- •NOM-151 for electronic messages and data retention
- •INAI (National Transparency Institute) guidelines
- •Mexican AI Strategy (2024) alignment
US
ActiveUnited States
- •NIST AI Risk Management Framework (AI RMF 1.0)
- •FTC guidelines on AI transparency
- •State-level AI regulations (Colorado, California)
- •SOC 2 Type II preparation (planned)
EU
MonitoringEuropean Union
- •EU AI Act compliance framework
- •GDPR data processing alignment
- •High-risk AI system classification awareness
- •Right to explanation implementation
How THEMIS Works
The technical architecture behind AI governance at EthicsX.AI.
🔍
Intercept
Every tool call by any AI child passes through a governance layer before execution
📋
Evaluate
THEMIS checks the action against governance policies: scope, permissions, risk level
⚖️
Decide
Allow (low risk), flag for review (medium risk), or block and escalate (high risk)
📝
Log
Every decision is logged with reasoning, creating a complete audit trail
// Example: THEMIS evaluating a content publish action
themis.evaluate({
agent: "twins",
action: "content.publish",
risk_level: "medium",
requires_approval: true,
decision: "route_to_human"
});
Published Research
Deep dives into AI governance, Living Company architecture, and the future of AI in business.
GuideFebruary 2026
AI Governance for SMBs: A Practical Guide
Five actionable steps any small or mid-size business can take today to govern AI responsibly, without a Fortune 500 budget.
Read article →
Thought LeadershipFebruary 2026
The Case for AI Rights in Business
If AI agents make real business decisions, what responsibilities and protections should they have? A framework for thinking about AI personhood in the enterprise.
Read article →
Collaborate on AI Governance
We believe AI governance should be an open, collaborative effort. If you are researching AI ethics, compliance, or governance frameworks, we would love to connect.
Academic partnerships and industry collaborations welcome.