Dr. Aris, Head of AI Research, is conducting an internal governance review to formally classify a legacy chess-playing system developed in the 1990s as part of an enterprise AI inventory. The system determines moves solely by evaluating the current board state through predefined logic and exhaustive-search strategies.
It does not preserve information from earlier matches, adapt its strategy over time, or change its decision process using historical gameplay data. Dr. Aris must assign a category that accurately represents the system's lack of learning, absence of memory, and entirely state-based decision behavior.
Which classification represents this system from a technical and conceptual perspective?

• A. Reactive Machines
• B. Self-Aware AI
• C. Theory of Mind AI
• D. Limited Memory AI

A healthcare organization deployed an AI-powered patient readmission risk-prediction model six months ago.
Although the model initially performed well, recent performance reports show that prediction accuracy has gradually fallen from 89% to 76% during the past three months. The AI operations team must determine the cause of this performance degradation in order to select the appropriate corrective action.
Which model-validation technique should the team use to diagnose this gradual performance degradation?

• A. Compatibility and integration testing to verify the model works correctly with other hospital information and electronic health records
• B. User acceptance testing to determine if clinicians are satisfied with the model's user interface and workflow integration aspects
• C. Security testing and vulnerability scanning to check if the model has been compromised by external attackers or malicious actors
• D. Drift detection and performance degradation analysis to identify changes in data patterns or model behavior over the extended time

A large enterprise is launching several AI initiatives across operations, customer analytics, and internal decision support. Despite strong leadership backing, the AI initiatives experience fragmented execution, including unclear priorities, misaligned timelines, inconsistent governance oversight, and uneven measurement of success, which impedes coordinated delivery. An internal review finds that the organization lacks a mechanism to systematically organize execution, manage dependencies, and ensure progress is measured consistently across initiatives.
Which AI strategy and planning component would most directly address the challenges identified in this scenario?

• A. AI monitoring, performance measurement, and continuous improvement
• B. Use-case selection and roadmap creation
• C. Vision, assessment, and readiness check
• D. Governance, compliance, and risk integration

As an AI-powered fraud-detection engine nears production deployment, assurance teams verify that it operates correctly under normal transaction patterns. However, risk discussions identify a subtler threat:
malicious actors may deliberately craft transaction inputs that cause the model to approve fraudulent activity without activating conventional failure indicators. This risk would not appear through routine functional or access checks and could directly erode trust in real-time decisioning during live operations.
As the AI Security Assurance Lead, which type of security testing should be used to intentionally assess the system's resistance to this manipulation before release?

• A. Adversarial Testing
• B. Penetration Testing
• C. Access Control Testing
• D. Vulnerability Scanning