Traditional scientific methods may not be sufficient to evaluate generative artificial intelligence (GenAI) due to its nondeterministic performance and lack of structural transparency. Viewing GenAI as an ecosystem may facilitate global performance analysis, such as estimating resilience and sustainability as conditions or tasks change. Adopting GenAI necessitates a shift in evaluation focus from reliance on premarket assessment to real-world postmarket surveillance.
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Coiera et al. (2024) studied this question.
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