Explainable AI (XAI) is becoming essential for industrial-grade AI by enabling transparency, trust, and compliance across the lifecycle. The Siemens white paper notes XAI as both a business enabler and regulatory necessity under frameworks like the EU AI Act. Surveyed experts see its value broadly: 83% cite its role in understanding data, 93% stress making AI outputs clear for end users. Developers use it for debugging and certification, domain experts for context, and technicians for root-cause analysis. While scaling XAI across domains is complex, it strengthens collaboration, accountability, and safe human–AI interaction.

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