AI Model Governance Policy

Purpose

This AI Model Governance Policy establishes the framework for the development, deployment, monitoring, and oversight of artificial intelligence systems operated or integrated by Biciid Center, including Tiraab AI.

The purpose of this policy is to ensure:

• Ethical AI deployment
• Cultural integrity protection
• Responsible innovation
• Transparency and accountability
• Safety and legal compliance

AI systems must serve heritage, scholarship, and community well-being.

Scope

This policy applies to:

• Tiraab AI and related language systems
• AI-assisted moderation tools
• AI-driven recommendation systems
• AI-powered analytics
• AI used in games or educational modules
• Third-party AI integrations

It applies to internal staff, contractors, technical partners, and system administrators.

Governance Structure

AI governance at Biciid Center operates under:

• Human Oversight — All AI systems remain under human control and review.
• Executive Responsibility — Leadership is accountable for ethical deployment and policy compliance.
• Technical Oversight — Designated technical administrators manage system implementation and safeguards.
• Moderation Integration — AI outputs are subject to moderation standards.
• Ethical Review — Sensitive AI updates may require internal review prior to deployment.

AI Lifecycle Management

AI systems must follow structured lifecycle management:

No AI system may be deployed without documented approval.

Risk Classification Framework

Higher risk systems require stricter oversight and testing.

Cultural Integrity Safeguards

AI must not:

• Fabricate archaeological evidence
• Distort clan or community history
• Misrepresent religious teachings
• Promote divisive narratives

Sensitive heritage topics must include clear disclaimers when uncertain and encouragement of scholarly verification.

Cultural distortion is considered a serious governance breach.

Bias Monitoring

AI systems must be monitored for:

• Clan bias
• Gender bias
• Religious bias
• Political bias
• Linguistic distortion

Regular bias audits should be conducted. Corrective updates must be documented.

Data Governance

AI training and operational data must:

• Respect privacy standards
• Avoid unauthorized personal data usage
• Avoid misuse of community knowledge
• Comply with applicable laws

Sensitive cultural data must be protected. Data used for model improvement must be documented and secured.

Transparency Requirements

Biciid Center commits to:

• Informing users when interacting with AI
• Providing AI limitations disclosures
• Explaining content restrictions clearly

Major AI updates affecting behavior must be internally documented.

Security Controls

AI systems must include:

• Access controls
• Logging mechanisms
• Abuse detection systems
• Rate limiting

Unauthorized access to AI systems is strictly prohibited.

Incident Response

If AI misuse or malfunction occurs:

• The incident must be logged
• Immediate review must occur
• Harmful outputs must be mitigated
• Safeguards must be updated

Severe incidents may require temporary system suspension or public clarification if necessary.

Vendor & Third-Party Compliance

When using third-party AI services:

• Contracts must include data protection clauses
• Ethical alignment must be reviewed
• Cultural protection standards must be upheld

No vendor may access cultural data without documented agreement.

Continuous Improvement

AI systems must undergo:

• Periodic performance review
• Cultural consultation where appropriate
• Technical upgrades
• Safety recalibration

Governance policies must evolve with technological changes.

Accountability & Enforcement

Failure to comply with this policy may result in:

• System suspension
• Contract termination (for partners)
• Internal disciplinary review
• Platform access restrictions

Governance violations involving cultural harm are considered serious breaches.

Review & Amendment

This policy will be reviewed periodically to reflect:

• Technological developments
• Legal requirements
• Cultural considerations
• Community feedback

Updates require documented approval.