Which of the following will provide the BEST evidence to support the alignment of an AI model with an organization's business objectives?

An AI model inventory is a centralized repository that catalogs all AI models within an organization. A comprehensive inventory documents critical information for each model, including its intended purpose, business owner, scope, and the specific business problem it addresses. This documentation provides the most direct and holistic evidence for an auditor or reviewer to assess how individual AI systems and the overall AI portfolio align with and support the organization's strategic business objectives. It serves as the foundational record linking technical assets to business value.

A. AI model vulnerability assessment: This report focuses on security weaknesses and potential exploits, which is a risk management function, not a measure of strategic business alignment.

B. AI change management requests: These document specific modifications to a model. While a change may be intended to improve alignment, the requests themselves are transactional and do not provide a complete picture.

D. AI acceptable use policy: This is a governance document that dictates how employees should use AI systems, rather than providing evidence of a specific model's purpose or its alignment with business goals.

1. ISACA. (2023). Auditing Artificial Intelligence. Page 21

"An inventory of AI systems is a foundational element of AI governance. The inventory should include key information about each system

such as its purpose

owner

data sources

and risk level... This allows the organization to have a clear view of its AI landscape and to manage it effectively."

2. National Institute of Standards and Technology (NIST). (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0). NIST AI 100-1. Page 14

Section 3.2

MAP Function. The framework emphasizes that "Mapping exercises begin with context-setting... This includes delineating the system’s intended purposes and objectives." An AI model inventory is the primary artifact that records this mapping.

3. Hupont

I.

et al. (2022). Towards Accountable AI: A Responsible-AI-by-Design Process and a Case Study. Proceedings of the 2022 AAAI/ACM Conference on AI

Ethics

and Society. Page 346. The paper discusses the importance of documenting the "intended purpose" of an AI system as a core component of accountability

which is captured within a model inventory. https://doi.org/10.1145/3531146.3533205