AI Safety & Trust and Safety
AI Safety Framework
Purpose
Establishes WEBSPACEAI's comprehensive approach to identifying, assessing, and mitigating frontier AI risks.
Scope
All foundation models, fine-tunes, and autonomous agents across Project Zero and product lines.
Definitions
Frontier Risk.
Policy Statements
Governance Structure: Governance Review Board, chaired by the Chief AI Governance Officer, includes the AI Safety Research Lead, CISO, and Chief Privacy Officer; holds release authority for Level 3-4 systems.
Risk Classification System (now explicitly cross-referenced in every downstream governance policy):
| Level | Risk | Controls | Review Cadence |
|---|---|---|---|
| Level 1 | Minimal Risk | Standard evaluation, Product-level approval | Semi-annual |
| Level 2 | Moderate Risk | Full safety evaluation, internal red teaming, AI Safety Research Lead approval | Quarterly |
| Level 3 | High Risk | External red teaming, restricted access, Governance Review Board approval, mandatory CBRN expert gate if applicable | Quarterly + post-incident |
| Level 4 | Critical Risk | Release paused pending mitigation; unanimous Governance Review Board + CEO approval; government consultation considered | Continuous |
[FIX] Every downstream policy (Red Teaming, Evaluation Framework, Prompt Injection, Autonomous Agent) must state explicitly which risk levels its mandatory controls apply to; Policy Counsel verifies this mapping in the Cross-Reference Index at each quarterly review.
- Threat Modeling: Structured, per model family, covering misuse, accident, and structural risks.
- Cybersecurity Risk Assessments: Offensive cyber capability uplift.
- Biosecurity / Chemical Risk Assessments: Conducted with external domain experts via the mandatory CBRN gate Doc. 17.
- Autonomous Agent Risk Assessments: Self-replication, resource acquisition, goal-directed persistence, and Consequential Action checkpoint integrity Doc. 20.
- Misuse Risk Assessments: Fraud, disinformation, harassment.
- Prompt Injection Risk Assessments: Per Doc. 19's prescriptive technical controls.
- Multimodal Risk Assessments: Per new Multimodal Risk Policy Doc. 38.
- Safety Testing Procedures: Automated benchmarks, human expert review, adversarial probing.
- Red Teaming Procedures: Per Doc. 18, scaled to risk level.
- Release Gates: No advancement without documented gate approval.
- Escalation Procedures: Any team member may escalate directly to the AI Safety Research Lead or Governance Review Board.
- Incident Management: Per Incident Disclosure Policy Doc. 33, now with explicit materiality thresholds.
- Emergency Shutdown Procedures: Governance Review Board or CISO may trigger immediate suspension.
- Post-Deployment Monitoring: Continuous monitoring for anomalous/harmful behavior.
- Continuous Evaluation: Periodic re-evaluation against updated benchmarks.
- Audit Requirements: Independent audits at least annually, reported to executive leadership; results summarized in the Transparency Report.
Responsibilities
Governance Review Board owns this framework; AI Safety Research Lead operationalizes assessments; Policy Counsel maintains cross-referencing.
Compliance Requirements
No Level 3-4 system deployed without full Governance Review Board sign-off.
Enforcement
Non-compliant releases subject to immediate rollback and disciplinary review.
Reporting Process
safety@webspaceai.in; escalations reviewed within 24 hours.
Exceptions Process
Emergency exceptions require joint CEO + Governance Review Board approval with retroactive documentation within 72 hours.
Review Process
Quarterly and after any Level 3-4 incident.