Improve Governance and Stakeholder Engagement to Curb Shadow AI

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.

Improve Governance and Stakeholder Engagement to Curb Shadow AI Research & Tools

1. AI Governance Policy Template – Use this policy to govern the responsible use of generative AI to protect the interests of your organization from the risks associated with the technology.

A policy detailing required security protocols and acceptable use for Gen AI is the most immediate step all departments and agencies must take to deploy Gen AI in a safe and secure fashion.

2. Shadow AI Risk Map – A best-of-breed template to help you identify risks associated with the potential use of Shadow AI in your federal department or agency and determine appropriate mitigating tactics and policy statements.

Use this tool to assess the potential risks and prevalence of Shadow AI within your federal organization. It will help you identify unauthorized AI use, understand associated risks, and determine appropriate policy statements for your department's or agency's AI Governance Policy.

3. Improve Governance and Stakeholder Engagement to Curb Shadow AI Deck – Use this research to implement AI governance proactively across all adoption stages, decreasing vulnerability to cyberattacks and the need for organization-wide risk communication and mitigation strategies.

Use this research to:

- Evaluate risks associated with Shadow AI in government operations.

- Assess suitability of existing governance frameworks to mitigate Shadow AI risks.

- Communicate risks to leadership, stakeholders, and end users.

- Determine acceptable use criteria for AI in federal contexts.

Improve Governance and Stakeholder Engagement to Curb Shadow AI visualization

Improve your artificial intelligence risk mitigation strategies with an acceptable use policy.

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Author

Paul Chernousov

Contributors

Info-Tech Research Group, Matthew Bourne, Managing Partner II
Info-Tech Research Group, Justin Eggstaff, Managing Partner
Info-Tech Research Group, Theo Antoniadis, Principal Advisory Director
Info-Tech Research Group, Kate Wood, Practice Lead, Security and Privacy
Info-Tech Research Group, Andrew Sharp, Research Director, Infrastructure and Operations
Info-Tech Research Group, Theo Antoniadis, Principal Advisory Director

Search Code: 106060
Last Revised: October 22, 2024

TAGS:

AI governance frameworks, stakeholder engagement strategies, AI risk management, acceptable use policy AI, shadow AI risks, AI compliance guidelines, ethical AI practices, AI policy development, AI oversight mechanisms, AI governance best practices, stakeholder collaboration AI, AI risk assessment tools, AI regulatory compliance, AI governance models, AI ethical guidelines.