RESPONSIBLE AI
AI can assist the workflow; accountability stays human.
AI-assisted features must be bounded by visible purposes, source controls, review rules, and correction mechanisms.
Defined use cases
Every AI feature must state what it does, what inputs it uses, and what decisions remain with the user or reviewer.
Source-grounded publishing
Daily Brief summaries must retain source attribution, distinguish facts from interpretation, and avoid inventing details not supported by the source material.
High-risk boundaries
AI outputs involving finance, safety, employment, legal obligations, or personal data require stronger review, clear limitations, and escalation paths.
Testing and monitoring
Teams should test for factual errors, harmful omissions, misleading confidence, bias, privacy leakage, and unstable behavior before and after release.
Correction and disclosure
Material AI assistance is disclosed where relevant. Users can report errors, and corrected content should retain a visible record when the change is substantive.
How to use this resource
This framework is educational and operational in nature. Apply it with the facts, professional requirements, contracts, regulations, and risks that govern the specific decision.