RESPONSIBLE AI, COMPLIANCE, AND RISK

DOING A SIMPLE RISK ASSESSMENT A risk assessment is a structured way to think about what could go wrong before it does. Begin by listing what the agent does and what data and tools it touches. For each item, ask what could go wrong, how likely it is, and how bad the result would be. Give each risk a simple rating, such as low, medium, or high, for likelihood and for harm. Focus first on risks that are both likely and harmful. For each important risk, choose a response: avoid it by removing the feature, reduce it with a safeguard, share it by adding human review, or accept it knowingly and write down why. Record the assessment, assign an owner, and review it whenever the agent changes. DOCUMENTING WHAT THE SYSTEM DOES Responsible practice depends on being able to explain a system. Keep a short description of the agent that states its purpose, the data it uses, the tools it can call, the people who oversee it, its known limits, and the results of its tests. Such a description helps new team members, auditors, and customers, and it forces the builders to face the weak spots honestly. Update it whenever the system changes, since an out-of-date description is worse than none.