AI Vendor Risk Assessment
The AI Vendor Risk Assessment is designed to help organizations evaluate their preparedness for adopting and scaling AI technologies.
1. Vendor Overview
| Category | Details |
|---|---|
| Vendor Name * | |
| Solution Name * | |
| Intended Use Case | |
| Contact Information | |
| Evaluation Date | |
| Evaluator Name * |
2. QUEST Framework Checklist
Instructions: For each criterion below, mark Yes if the vendor meets the requirement or No if it does not. Use the Comments section to note any important observations or actions needed.
A. Quality & Security (Q)
| Criterion | Yes/No | Comments |
|---|---|---|
| Reliable Performance: Does the AI solution consistently perform as expected? | ||
| Security Measures: Are data protection measures (e.g., encryption) in place? | ||
| Incident Response: Does the vendor have a plan to handle data breaches or AI failures? | ||
| Threat Detection: Does the vendor implement advanced threat detection mechanisms? | ||
| Continuous Security Monitoring: Is there ongoing monitoring for security threats? |
B. User-Centric Design (U)
| Criterion | Yes/No | Comments |
|---|---|---|
| Accessible Design: Is the solution accessible and inclusive for diverse users? | ||
| Intuitive Interface: Are user interaction models easy to understand and use? | ||
| User Support: Does the vendor provide adequate training or documentation? |
C. Ethics & Fairness (E)
| Criterion | Yes/No | Comments |
|---|---|---|
| Bias Mitigation: Does the vendor have tools to detect and reduce bias? | ||
| Fair Outcomes: Are the AI's decisions fair across all demographic groups? | ||
| Ethical Practices: Are ethical guidelines followed in the AI's design? |
D. Supervision & Accountability (S)
| Criterion | Yes/No | Comments |
|---|---|---|
| Governance Protocols: Are there clear governance practices for the AI system? | ||
| Audit Trails: Are records maintained for model updates and decisions? | ||
| Regulatory Compliance: Is the vendor compliant with relevant regulations (e.g., GDPR)? | ||
| Data Protection Officer (DPO): Is a DPO involved in overseeing the AI solution's data protection measures? |
E. Transparency & Trust (T)
| Criterion | Yes/No | Comments |
|---|---|---|
| Explainable AI: Can the vendor explain how the AI makes decisions? | ||
| Data Transparency: Does the vendor disclose data sources and usage? | ||
| Risk Disclosure: Does the vendor communicate potential risks and limitations of their AI solution? | ||
| Regular Reporting: Does the vendor provide regular reports on trust metrics (e.g., accuracy, reliability)? |
3. Risk Identification and Analysis
| Criterion | Identified Risk | Impact (1-3) | Likelihood (1-3) | Risk Level | Actions |
|---|---|---|---|---|---|
Auto-calculated |
4. Risk Evaluation and Treatment
| Identified Risk | Treatment Action | Owner | Timeline | Actions |
|---|---|---|---|---|
5. Recommendations
| Area of Concern | Proposed Mitigation | Owner | Timeline | Actions |
|---|---|---|---|---|
6. Sign-Off and Next Steps
| Evaluator Name | Signature | Date |
|---|---|---|