Is Your Organization Governed and Protected Against AI Risks?

As the use of artificial intelligence expands across organizations, its adoption is often moving faster than existing governance and control frameworks can keep pace. Risks do not arise only when an incident occurs; they may emerge from changes in data, expanding use cases, reliance on third-party providers, or insufficient oversight of AI tools used by employees.
This assessment helps you evaluate how your organization approaches AI governance and risk management decisions and identify whether those decisions are supported by effective, ongoing controls or rely primarily on compliance and documentation.
Test your ability to make the right decisions as AI risks become more complex.

AI Governance & Risk Assessment

7 advanced scenarios designed to assess your ability to make sound decisions in AI governance and risk management — from risk assessment and data changes to third-party AI, evolving use cases, and control effectiveness.

Read each scenario carefully and select the most mature decision from a governance and risk management perspective.

1 / 7

The organization uses an off-the-shelf AI solution from an external provider. The provider has supplied audit reports, certifications, and evidence of strong controls. What can the organization rely on?

B) Use the provider’s evidence as part of its own assessment without allowing it to replace the organization’s responsibility for its specific context of use

A) Accept the provider’s assessment if it is independent and up to date

D) Limit its assessment to integration and the data sent to the provider

C) Transfer the system’s risks to the provider through contractual terms

2 / 7

The organization has an AI policy, a risk register, impact assessments, internal audits, and employee training. Which evidence provides the strongest indication that the governance system is actually operating effectively rather than merely being documented?

B) No significant incidents recorded during the previous year

A) Complete documentation approved by senior management

C) Evidence that control effectiveness is measured and that reviews, treatments, and improvements are carried out based on the results

D) A high percentage of employees completing mandatory training

3 / 7

An AI model is operating within approved accuracy thresholds, but its actual use has expanded from supporting decisions to making decisions automatically. Neither the model nor the data has changed. What is the most appropriate action?

A) No further action is required because technical performance has not changed

B) Assess the new use case, its impacts, and associated risks before approval

C) Simply add the new use case to the system documentation

D) Approval from the process owner is sufficient as long as accuracy remains stable

4 / 7

Management discovers that employees are using unauthorized AI tools, but no data leakage or security incidents have been reported. Where does the primary gap lie?

D) Weak governance of AI use cases, risks, authorities, and associated controls

B) Failure to include the tools in the technology asset register

C) Lack of clear agreements with the tool providers

A) Insufficient information security training

5 / 7

An AI system passed its risk assessment before deployment. Eight months later, its data sources changed without any change to the model itself, and no incidents have been reported. What is the most mature course of action?

C) Increase accuracy monitoring and postpone reassessment until the scheduled review

B) Continue operating because the model and algorithm have not changed

D) Reassess only if performance exceeds an approved threshold

A) Reassess the system because changes in data may alter its risk profile and impacts

6 / 7

A model achieves 98% accuracy and has received no complaints. However, an internal analysis reveals that the error rate for a particular group is three times the overall average. Which decision is the strongest from a governance perspective?

C) Assess the impact of the disparity in error rates before deciding whether to accept or treat the risk

A) Continue operating because overall performance exceeds the target level

B) Increase the test sample before considering the difference an actual risk

D) Use the complaint rate as the final indicator of the scale of the impact

7 / 7

The risk register is up to date, and each risk has an assigned owner and treatment action. However, management cannot demonstrate that these actions have actually reduced the risks. What is the weakest link?

B) Assigning risk ownership and defining responsibilities

D) Defining corrective actions when incidents occur

C) Documenting risks and linking them to AI use cases

A) Evaluating treatment effectiveness and monitoring residual risk

AI Governance & Risk Assessment

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