Responsible AI Isn't a New Discipline, It's an Old One Applied to New Risk

In the age of Generative AI (GenAI), responsible adoption doesn't require a new playbook, it requires applying the one GRC teams already have. Key considerations include:

1. Use Case Definition: Be precise about what problem the AI is solving and why it's needed.
2. Data Involved: Identify what data feeds the system and where it comes from.
3. Risk Exposure: Assess what could go wrong before deployment, not after launch.
4. Controls Required: Decide what level of oversight or containment the use case needs.
5. Cross-Functional Ownership: Involve legal, compliance, infosec, technology, and business leaders, not just one team.
6. Human Oversight: Keep people in the loop for high-impact decisions.

By treating "responsible" as a question of appropriateness, not just capability, organizations can extend practices they already trust to a new technology.