AI Ethics & Governance Tabletop Exercise Worksheet

Most organizations exploring AI are not lacking interest. What they often lack is a structured way to evaluate whether the decisions surrounding AI are being made with the right level of oversight, accountability, and control. This worksheet provides one.
It is a practical exercise designed to help teams work through real-world AI ethics dilemmas, assess current governance readiness, and identify where stronger policies, clearer ownership, and better decision structures are needed before risk compounds.
When AI Decisions Advance Faster Than Internal Oversight
In many organizations, AI adoption begins in isolated ways. A team experiments with a tool, a department introduces automation, or a vendor solution is implemented to solve an immediate need. However, while the technology moves forward, the governance around it often develops more slowly, which creates a gap between what the business is using and what it is actually prepared to manage.
As that gap widens, teams can find themselves facing decisions involving fairness, transparency, consent, accountability, or reputational exposure without a clear framework to guide the response. Consequently, what appears at first to be a technical or operational issue can quickly become a leadership, compliance, or trust issue as well.
Rather than discussing AI risk in the abstract, this exercise helps organizations work through realistic scenarios, examine how decisions would be made in practice, and identify where the current governance model is strong, partial, or missing altogether.
In practical terms, that leads to more informed internal discussions, better visibility into governance gaps, and a clearer path toward responsible AI adoption that can scale with more confidence.
What’s Included in the Exercise… and What It Helps You Uncover
Inside the worksheet, teams don’t just review AI governance, they actively test it. The exercise is structured around a set of tools designed to move from baseline assessment into real decision-making:
- A governance readiness checklist across five critical areas
- Eight real-world AI ethics and governance scenarios
- Decision-record sections to capture discussions and action points
- A final scorecard to evaluate overall readiness
- A remediation planning section to prioritize what comes next
The checklist establishes a clear foundation by examining policy frameworks, bias and fairness, transparency, data governance, and accountability. In doing so, it reveals whether governance is consistently applied, or still fragmented across the organization.
From there, the exercise shifts into application. Teams are placed in realistic scenarios where those structures are tested under pressure, requiring decisions around hiring bias, customer data usage, AI-generated content disclosure, autonomous systems, and vendor risk. As a result, the focus moves beyond what exists on paper and into how decisions are actually made in practice.
This is where the value becomes visible. Because once governance is applied in context, gaps surface, whether through unclear ownership, inconsistent judgment, or policies that don’t hold under real conditions. In turn, organizations gain clearer visibility into risk, stronger alignment across teams, and a more actionable path toward governance that can scale with confidence.
When This Is Especially Useful
This worksheet is especially relevant if your organization is:
- Beginning to adopt AI tools across departments without a formal governance structure
- Unsure whether current data and consent practices are sufficient for AI-related use cases
- Concerned about bias, explainability, or accountability in AI-assisted decisions
- Evaluating third-party AI vendors without clear due diligence standards
- Looking for a practical way to start internal conversations around responsible AI
- Preparing leadership teams to think more clearly about AI risk, oversight, and policy development
Because the exercise is structured around realistic dilemmas rather than broad theory, it is useful both for organizations building governance from the ground up and for those that already have some controls in place but need to pressure-test whether they are actually sufficient.
The Outcome Is Not Perfect Certainty, It Is Better Governance Clarity
A More Usable View of AI Governance Readiness
Completing this exercise does not mean every ethical or governance issue surrounding AI is fully resolved. However, it does create a more structured understanding of where the organization currently stands, how prepared internal teams are to make sound decisions, and which areas need more immediate attention.
That matters because responsible AI is rarely strengthened through isolated policies alone. It becomes more effective when organizations can connect principles to decisions, decision-making to ownership, and ownership to a repeatable governance process.
In that sense, the value of the worksheet is not perfection. It is clarity, alignment, and a stronger starting point for building governance that can support AI use more responsibly over time.
You move from:
- Informal judgment to structured evaluation
- Isolated concerns to defined governance categories
- Scattered reactions to guided decision-making
- Unclear accountability to clearer ownership and follow-up
- Broad AI interest to more responsible AI readiness
Not a theoretical discussion of AI ethics, but a more practical way to assess how prepared your organization really is.
Built by Infonaligy, Based on Real-World Governance and Risk Conversations
This exercise was developed by Infonaligy to help organizations approach AI governance in a way that is practical, structured, and relevant to real business environments.
As such, it is not limited to abstract principles or high-level guidance. It is meant to help teams examine how governance holds up when real decisions involve employees, customers, vendors, compliance considerations, and organizational trust.
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