AI Governance Is an Operational Discipline, Not a Compliance Artifact
Source: Dev.to
AI governance is often reduced to policies, checklists, and post-hoc documentation intended to demonstrate compliance. While these artifacts may satisfy formal requirements, they rarely address the real source of risk. In complex AI-enabled and cyber-physical systems, risk does not emerge from missing paperwork.
It emerges from decisions — how they are made, who is accountable for them, and whether those decisions remain valid as systems evolve. Treating governance as an operational discipline means embedding it directly into the lifecycle of system design, deployment, and continuous operation. Governance must function where decisions occur, not where reports are archived. Without operational accountability, governance becomes retrospective and symbolic.
With it, governance becomes a living control mechanism that shapes behavior, constrains risk, and preserves trust over time. Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse