Explainable AI (XAI) for Decision Transparency in Automated Industrial Operations
The findings underscore that explainable AI not only enhances transparency but also drives responsible and sustainable adoption of AI in industry.
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The findings underscore that explainable AI not only enhances transparency but also drives responsible and sustainable adoption of AI in industry.
The paper has pinpointed several significant issues such as data fragmentation, inability to achieve interoperability, skills mismatch in the workforce, constraint of the legacy infrastructure and ethical issues in AI-managed decision systems.
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