- Difficulty assessing risks of emerging AI technologies.
- Challenges in implementing AI governance across departments.
- Varying levels of policy development and corresponding processes across departments.
- The novelty of AI can complicate risk assessment and mitigation strategies, especially in understanding appropriate use cases. Public sector must prioritize addressing unauthorized AI use through right policies while strengthening overall data security measures at the same time.
Our Advice
Critical Insight
- Focus on actionable governance measures. Unauthorized AI use poses significant risks to federal departments and agencies. Identifying applicable risks and implementing targeted governance policies allows agencies to address immediate concerns while planning for long-term improvements in AI security and compliance.
Impact and Result
- Identify Shadow AI risks relevant to your agency's use cases.
- Develop an AI governance policy that would proactively address the potential misuse issues.
- Create a roadmap for enhancing data security to support responsible AI use.
- Most Shadow AI risks are extensions of existing data security concerns. Government entities can often adapt and expand current controls rather than creating entirely new systems.