AI fundamentals · Question 42 of 60
An authority wants to approve an AI system for medical diagnoses and requires that every decision can be justified. Which difference from conventional systems is the main problem here?
1 answer is correct. Hard
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Answer
- A The low explainability of large models with very many parameters
Explanation
Explainability is a key challenge of AI-based systems. Deep learning models can contain billions of parameters and are therefore often regarded as a black box. In healthcare in particular, it is crucial to understand why a model made a decision. AI systems handle uncertainty particularly well, so that is a strength rather than a problem.