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2025
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| Online-Zugang: | https://doi.org/10.5281/zenodo.18049801 |
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| _version_ | 1866901917254287360 |
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| author | Nalam, Allan John |
| author_facet | Nalam, Allan John |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18049801 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Unified LIP Framework (ULF) Prevention-First Manufacturing Policy Nalam, Allan John <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> |
| title | Unified LIP Framework (ULF) Prevention-First Manufacturing Policy |
| url | https://doi.org/10.5281/zenodo.18049801 |