Thenon-deterministic nature of AIrefers to the fact that modern AI systems—especially generative AI, reinforcement learning, and probabilistic models—do not always produce the same output even when given identical inputs. According to AAIA’s ethical and operational guidance, understanding non-determinism is essential for:
Managing expectations of AI behavior
Preventing overreliance on AI outputs
Identifying hallucinations or inconsistent outcomes
Ensuring human oversight remains in place
Supporting proper audit trails and accountability
Upholding professional skepticism toward AI-generated outputs
If training doesnotexplain non-determinism, employees may mistakenly believe AI outputs are always authoritative or correct, which can lead to unsafe reliance, ethical violations, and audit failures.
Other options (A, C, D) are helpful but not foundational. Lack of understanding of non-determinism fundamentally undermines safe and responsible AI use.
[References:, AAIA Domain 5: Ethical and Legal Considerations(Explainability, Output Variability, Responsible Use)., AAIA Domain 3: Oversight and Human-in-the-Loop Principles., ]
