Explainable Artificial Intelligence in communication networks: A use case for failure identification in microwave networks
Aarticle on applying #XAI (eXaplainable Artificial Intelligence) authored by Politecnico di Milano in collaboration with SIAE MICROELETTRONICA.
Artificial Intelligence (AI) has demonstrated superhuman capabilities in solving a significant number of tasks, leading to widespread industrial adoption. For in-field network-management application, AI-based solutions, however, have often risen skepticism among practitioners as their internal reasoning is not exposed and their decisions cannot be easily explained, preventing humans from trusting and even understanding them. To address this shortcoming, a new area in AI, called Explainable AI (XAI), is attracting the attention of both academic and industrial researchers.
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