Methodology

The Responsible AI Series is built on the belief that safety and ethics are not theoretical concepts, but engineering constraints. Our methodology focuses on reproducible, verifiable, and transparent software practices.

Each "Day" in this series represents a concrete step towards a more robust AI system. We borrow heavily from:

• Software Engineering Reliability (SRE, DevOps)
• Cybersecurity Standards (NIST, SLSA)
• Safety Critical Systems (ISO 26262, Aviation Safety)

By treating AI models as software artifacts rather than magic boxes, we can apply rigorous engineering discipline to their lifecycle.