Which AI-specific test objective and acceptance criterion should be selected MOST LIKELY for testing GPT_Legal?

Question

Options

• ATest objective: Evidence of functional safety Acceptance criterion: The system recognizes failures
• BTest objective: Evidence of evolution Acceptance criterion: The quality of the research results
• CTest objective: Evidence of compatibility Acceptance criterion: The system can exchange
• DTest objective: Evidence that the data is free from inappropriate bias Acceptance criterion: The

• A
  10% (6)
• B
  79% (46)
• C
  7% (4)
• D
  3% (2)

Explanation

The ISTQB CT-AI syllabus introduces AI-specific quality characteristics, including evolution, functional safety, compatibility, andbias-related data quality. Section5.1 - AI-Specific Test Objectives explains that evolution refers to an AI system's capability to continue improving or at least maintain performance as it undergoes additional training. GPT_Legal is explicitly described as aself-learning systemexpected to: continuously reduce false positives, achieve weekly accuracy improvements of 10%, reach and maintain 90% accuracy, adapt to new environments (patent law firm -> corporate legal department). This aligns perfectly with the syllabus definition ofevidence of evolution: ensuring the model doesnot degradeas additional training data is introduced. Option B therefore directly supports the described acceptance criteria for this evolving, self-learning application.

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