Human oversight places people in the decision path when AI outputs could affect customers, markets, or operations. In a financial-content moderation workflow, AI flags potentially problematic posts and summarizes its reasoning, but a moderator must make the final decision. Clear guidance that moderators will not be penalized for initial AI errors can support trust in the workflow. section 2.5.3
For high-risk generated outputs, such as financial advice, a qualified employee approves the response after compliance checks and before it reaches the user. For deployed credit models, oversight also includes review by risk, compliance, and business leaders, who assess performance, fairness, and explainability. section 3.2.1 section 5.3.9
In investment research, treat an LLM-generated signal as a hypothesis to verify, not proof of an edge: models can invent facts, mishandle numbers or dates, and reflect information learned after the events being analyzed. section 11.1.1
