Open learning. Practical systems. Responsible AI.Start here

Risk should be proportional to consequence

Governance becomes more credible when controls are proportional to real consequences rather than applied uniformly.

Consider impact

Ask who can be affected, how significantly, and whether the system influences rights, access, safety, employment, finance, health, reputation or other sensitive outcomes.

Consider autonomy

A drafting assistant and an agent authorized to execute transactions should not share the same approval and monitoring design.

Consider reversibility

Errors that can be quickly corrected deserve a different control level from actions that are public, contractual, financial or destructive.

Consider detectability

If poor performance is difficult to observe, stronger testing and monitoring may be justified even when individual actions appear modest.

Proportionality supports innovation because it concentrates governance effort where it can create the most value.

NEXT MOVEFrom reading to application
FREE RESOURCEExecutive Decision Memo FrameworkUse it → RESOURCE VAULTBrowse practical systemsExplore →
Continue the system

Keep exploring

Learning → application → governance
Put it to work

Turn the idea into an operating move.

Continue with a practical resource, a structured system, or an advisory conversation when context matters.

Leave a Reply