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Explainable AI, but explainable to whom?
[article]
2021
arXiv
pre-print
Advances in AI technologies have resulted in superior levels of AI-based model performance. However, this has also led to a greater degree of model complexity, resulting in 'black box' models. In response to the AI black box problem, the field of explainable AI (xAI) has emerged with the aim of providing explanations catered to human understanding, trust, and transparency. Yet, we still have a limited understanding of how xAI addresses the need for explainable AI in the context of healthcare.
arXiv:2106.05568v1
fatcat:tinpmghy3jct3heichei6oqdna