AI systems are often described as:

Interactive – They interact with users or their environment (e.g., via input/output mechanisms).

Contextual – They operate within and adapt to specific contexts, often requiring contextual understanding.

Infallible – This is a misleading term. No AI system is infallible. AI systems are prone to errors, limitations in training data, algorithmic bias, and decision uncertainty.

Therefore, "infallible" is NOT a common or realistic feature of AI systems.