Resources For Industry
This resource section includes Minerva Institute's openly available industry supporting resources that offer strategies, and best practices for leveraging AI in energy, utilities, transportation, and advanced manufacturing. It also contains links to additional open source resources that may be of benefit to our members and industry stakeholders.
Minerva Institute Derived Industry Resources
Below, you will find resources providing insights into the development of strong AI integration principles designed to help adopt AI, robotics, and autonomous systems. Additionally, we provide access to a comprehensive catalog of case studies, showcasing successful implementations and best practices. The section also highlights our commitment to strategic research and collaboration aimed at shaping policies that promote innovation amidst a rapidly evolving technological landscape.
Minerva Institute’s Guiding Principles for Industrial AI, Robotics, and Autonomous Systems provide a public-facing baseline for trustworthy, deployable AI in critical industry. The 14 principles address mission-aligned value, use-case discipline, cyber-physical resilience, human authority, secure autonomy, data integrity, transparency, lifecycle assurance, workforce readiness, vendor accountability, staged deployment, standards alignment, ethical use, and shared learning. Each principle includes Action Guidance to help organizations translate intent into governance, procurement, pilots, training, executive oversight, and post-deployment assurance. Together, they are designed to accelerate adoption while preserving the safety, reliability, resilience, and public trust on which critical infrastructure depends.
AI Adoption Principles Implementation Guide
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AI Integration Framework
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External Resources
Below, you will find useful external openly available resources which will augment those provided by the Minerva Institute.
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