312-41 practice question 33 of 35

An organization completes a limited pilot of an internal AI assistant used by HR to respond to employee benefits queries. Pilot metrics show strong…

Choose your answer, then check it against the explanation.

An organization completes a limited pilot of an internal AI assistant used by HR to respond to employee benefits queries. Pilot metrics show strong engagement, stable uptime during business hours, and no material compliance findings. When reviewing the transition from pilot to enterprise rollout, the Steering Committee identifies unresolved dependencies that extend beyond system performance. Specifically, the handoff documentation does not define which function is accountable for maintaining institutional knowledge, how responsibility transfers during organizational changes, or which authority owns decision-making during service disruptions outside standard operating windows. The committee concludes that while the system is technically viable and well-received, approving scale would introduce unmanaged risk due to unclear ownership, escalation authority, and long-term control structures. Which validation category addresses the absence of formally defined accountability, ownership, and decision authority required to safely transition an AI system from pilot use to enterprise operation?

Answer options

Correct Answer:

Explanation

The issue described is a failure of governance. The pilot's technical success is overshadowed by the lack of a formal framework for accountability, ownership, and decision-making authority. These elements are central to AI governance, which establishes the rules, practices, and structures necessary to manage an AI system's lifecycle responsibly at an enterprise scale. Governance and Control Validation ensures these non-technical, organizational prerequisites are in place before scaling, mitigating risks related to undefined responsibilities and control.

Why Incorrect

A. Predefined Authorization Criteria: This focuses narrowly on user access control, not the broader organizational framework of ownership, accountability, and decision authority.

C. Cost and Consumption Assumptions: This pertains to financial and resource planning, which is not the unresolved dependency identified by the committee.

D. Operational Readiness Check: This validates technical performance, uptime, and stability, which the question states were already proven successful during the pilot.

References

1. Microsoft. (2022). Microsoft Responsible AI Standard, v2. Section: "Accountability," p. 11. This standard emphasizes establishing clear lines of accountability and oversight mechanisms as a core component of responsible AI governance.

2. National Institute of Standards and Technology (NIST). (2023). AI Risk Management Framework (AI RMF 1.0). Section 3.1: "GOVERN," pp. 16-19. The GOVERN function is described as being "infused throughout the organization" and includes establishing clear policies, roles, responsibilities, and oversight.

3. Floridi, L., & Cowls, J. (2019). A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.8cd550d1. The paper discusses accountability as a fundamental principle for AI ethics and governance, requiring clear attribution of responsibility.

Question 33 of 35

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