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Govern the Use of AI Responsibly With a Fit-for-Purpose Structure

Enable your organization to transparently deliver effective and human-centric AI.

You have been given a mandate to govern how you will responsibly deliver on your roadmap and strategy for AI technologies:

  • Develop policies that clarify appropriate use of data and AI models, and limit organizational risk.
  • Create processes that support the design, development, deployment and operation of AI models.
  • Identify how you’ll make strategic, tactical, and operational decisions that ensure the use of AI aligns to your organization’s goals and values.


Our Advice

Critical Insight

  • Most organizations default accountability for AI to IT, or don’t assign accountability at all. Responsible governance requires the business to take accountability for their approach to AI.
  • Very few organizations have a formal and structured approach to AI governance:
    • AI can introduce or intensify risks that affect the entire organization, but most organizations haven’t integrated AI risks in their enterprise risk management framework.
    • Most organizations don’t assign accountability for AI or it defaults to the CIO – and yet authority and true accountability remain with the business.
    • Policies are published without any controls to monitor and enforce compliance.

Impact and Result

  • Start to govern AI responsibly by following Info-Tech’s structured approach:
    • Identify key risks related to AI.
    • Identify a set of responsible AI principles.
    • Create an AI governance structure: identify key governing organizations, their mandate, key roles and responsibilities.
    • Design an AI governance operating model.
    • Evaluate policy gaps using a policy framework.
  • Use your findings to develop a roadmap and communication plan to govern AI in your organization.

Govern the Use of AI Responsibly With a Fit-for-Purpose Structure Research & Tools

1. Govern the Use of AI Responsibly Deck – A step-by-step document that walks you through how to implement a governance structure for AI for the long term.

Use this deck to build a fit-for-purpose AI governance structure to deliver AI benefits, reduce risk, and ensure compliance.

2. AI Governance and Risk Presentation – A best-of-breed template to help you build a clear, concise and compelling document outlining your AI governance strategy.

A best-of-breed template to help you build a clear, concise and compelling document outlining your AI governance strategy. The key outputs will be:

  • Proposed AI governance structure
  • Operating model
  • Guiding principles
  • Roadmap

3. AI Governance Assessment Tool – A tool to help you conduct a structured review of your current and target risk governance capabilities.

This self-assessment tool will allow you to conduct a structured review of your current and target risk governance capabilities. The results will inform your governance approach and roadmap.

4. AI Risk Assessment Tool – A tool to help you structure a risk assessment for all of your potential AI risks.

This support tool will help you structure a risk assessment for all of your potential AI risks. The results will inform the outputs in your AI Governance and Risk Presentation.

5. Enterprise AI Governance Committee Charter Example – An example charter for the executive-level Enterprise AI Governance Committee.

This example document will help you get started when defining your AI Governance Committee Charter.


Member Testimonials

After each Info-Tech experience, we ask our members to quantify the real-time savings, monetary impact, and project improvements our research helped them achieve. See our top member experiences for this blueprint and what our clients have to say.

9.7/10


Overall Impact

$15,469


Average $ Saved

12


Average Days Saved

Client

Experience

Impact

$ Saved

Days Saved

CAF - Corporacion Andina de Fomento

Guided Implementation

9/10

$30,549

20

Natalia has been a great asset in the data, analytics and AI architecture counseling. She's very knowledgable and precise with her advice

Benchmade

Guided Implementation

10/10

N/A

N/A

This was an analyst call for AI Governance and I found it very informative. I would like to consider a potential speaking engagement with our Boar... Read More

State Universities Retirement System Of Illinois

Guided Implementation

10/10

N/A

3

Milena had a clear grasp of the domain and was able to discuss our concerns in earnest.


Workshop: Govern the Use of AI Responsibly With a Fit-for-Purpose Structure

Workshops offer an easy way to accelerate your project. If you are unable to do the project yourself, and a Guided Implementation isn't enough, we offer low-cost delivery of our project workshops. We take you through every phase of your project and ensure that you have a roadmap in place to complete your project successfully.

Module 1: Address Responsible AI and AI Risk

The Purpose

Understand the scope and principles around responsible AI and AI risk.

Key Benefits Achieved

A clear view of principles and risks that will provide a foundation for governance, and operating model choices.

Activities

Outputs

1.1

Document the benefits of AI governance.

  • List of benefits of AI governance
1.2

Assess your AI risk governance practices.

  • Assessment of key gaps in AI governance today
1.3

Create an AI risk taxonomy.

  • Draft of AI risk taxonomy
1.4

Identify relevant AI risks.

  • A list of key AI risks, aligned to your defined AI risk taxonomy
1.5

(Optional) Conduct an initial AI risk assessment for one use case.

  • An initial risk assessment for a single AI use case
1.6

Identify risk management objectives, metrics, and targets.

  • List of risk management objectives, metrics, and targets
1.7

Establish or validate responsible AI guiding principles.

  • Draft responsible AI principles specific to your organization

Module 2: Define AI Governance Structure

The Purpose

Define the foundation for your AI governance structure.

Key Benefits Achieved

Align the team on the AI governance structure, articulating mandate, roles, responsibilities, and integration points.

Activities

Outputs

2.1

Draft your AI governance structure.

  • Draft view of AI governance structure
2.2

Define mandates, roles, responsibilities, and membership of AI governance committees.

  • Updated mandate, role and responsibilities for AI governance committees
2.3

Visualize AI governance position vs. other enterprise governance structures.

  • AI governance visualization vs. other enterprise governance structures
2.4

Confirm AI governance mandate and membership.

  • Outline of your new AI governance structure and committees
2.5

Identify integration points between AI governance and other governance structures.

  • List of points of integration between AI governance and other governance structures

Module 3: Define AI Governance Operating Model

The Purpose

Detail the elements of your AI Governance Operating Model.

Key Benefits Achieved

Enable the organization to apply the right level of AI governance to their initiatives.

Activities

Outputs

3.1

Define the evaluation criteria across the AI lifecycle.

  • Evaluation criteria for all AI lifecycle steps
3.2

Define core AI governance processes.

  • Name and description of core AI governance processes
3.3

Compile Executive AI Council Charter.

  • An initial draft of the AI Council Charter
3.4

Identify and prioritize policy gaps.

  • A prioritized list of policy gaps to be addressed
3.5

Identify how your AI governance structure will support key policies.

  • A RACI chart that identifies the roles of different committees in supporting your AI governance initiatives

Module 4: Build an AI Governance Implementation Roadmap

The Purpose

Create an AI governance implementation roadmap.

Key Benefits Achieved

Align the organization on the plans for implementation of AI governance.

Activities

Outputs

4.1

Create your AI governance roadmap.

  • A completed draft of an AI governance roadmap
4.2

Build your communication plan.

  • A completed communication plan for the AI governance roadmap
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About Info-Tech

Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.

We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

MEMBER RATING

9.7/10
Overall Impact

$15,469
Average $ Saved

12
Average Days Saved

After each Info-Tech experience, we ask our members to quantify the real-time savings, monetary impact, and project improvements our research helped them achieve.

Read what our members are saying

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Authors

Irina Sedenko

Andrew Sharp

Swapnil Awasthi

Contributors

  • Ellie D. Norris, Associate Director, Merck
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