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| Format: | Recurso digital |
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| Veröffentlicht: |
Zenodo
2025
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| Online-Zugang: | https://doi.org/10.5281/zenodo.18049801 |
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Inhaltsangabe:
- <p><strong>Abstract:</strong> This policy framework provides a comprehensive set of ethical and operational guidelines for the integration of Artificial Intelligence in the <strong>Manufacturing Sector</strong>. Under the <strong>Unified Latent Intelligence Philosophy (LIP)</strong>, this document outlines a <strong>Prevention-First</strong> strategy to manage autonomous systems, industrial IoT (IIoT), and smart factory automation.</p> <p>Key focus areas include:</p> <ul> <li> <p><strong>Algorithmic Safety:</strong> Preventing unplanned downtime and physical hazards caused by autonomous micro-decisions.</p> </li> <li> <p><strong>Supply Chain Accountability:</strong> Ensuring transparency and traceability in AI-driven logistics and vendor management.</p> </li> <li> <p><strong>Human-Machine Collaboration:</strong> Defining the "Human-in-the-Loop" requirements to protect worker rights and safety.</p> </li> <li> <p><strong>Regulatory Compliance:</strong> Aligning industrial AI operations with global standards like the EU AI Act and Industry 5.0 principles.</p> </li> </ul> <p>This framework is essential for manufacturers aiming to scale their AI capabilities while mitigating risks related to "ethical drift" and "latent intelligence" failures.</p>