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What is the key feature of Graphical Processing Units (GPUs) that makes them well-suited to running Al applications?

A.

GPUs run many tasks concurrently, resulting in faster processing.

B.

GPUs can access memory quickly, resulting in lower latency than CPUs.

C.

GPUs can run every task on a computer, making them more robust than CPUs.

D.

The number of transistors on GPUs doubles every two years, making the chips smaller and lighter.

CASE STUDY

Please use the following answer the next question:

A mid-size US healthcare network has decided to develop an Al solution to detect a type of cancer that is most likely arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review of all imaging and then route records a radiologist for secondary review pursuant agreed-upon criteria (e.g., a confidence score below a threshold).

To date, the healthcare network has taken the following steps: defined its Al ethical principles: conducted discovery to identify the intended uses and success criteria for the system: established an Al governance committee; assembled a broad, crossfunctional team with clear roles and responsibilities; and created policies and procedures to document standards, workflows, timelines and risk thresholds during the project.

The healthcare network intends to retain a cloud provider to host the solution and a consulting firm to help develop the algorithm using the healthcare network ' s existing data and de-identified data that is licensed from a large US clinical research partner.

In the design phase, which of the following steps is most important in gathering the data from the clinical research partner?

A.

Perform a privacy impact assessment.

B.

Combine only anonymized data.

C.

Segregate the data sets.

D.

Review the terms of use.

In the context of AI governance, what is the primary concern raised by the opacity of many AI systems?

A.

It ensures that AI systems will make decisions without any human involvement, increasing the risk of harmful outcomes.

B.

It prevents regulators from gaining legal access to the proprietary algorithms of private companies, limiting enforcement actions.

C.

It complicates efforts to trace and justify how specific outputs are generated, which can undermine accountability and informed oversight.

D.

It indicates that the system is inherently unreliable, meaning its predictions or recommendations cannot be trusted in practice.

CASE STUDY

A global marketing agency is adapting a large language model ( " LLM " ) to generate content for an upcoming marketing campaign for a client ' s new product: a hard hat designed for construction workers of any gender to better protect them from head injuries.

The marketing agency is accessing the LLM through an application programming interface ( " API " ) developed by a third-party technology company. They want to generate text to be used for targeted advertising communications that highlight the benefits of the hard hat to potential purchasers. Both the marketing agency and the technology company have taken reasonable steps to address Al governance.

The marketing company has:

•           Entered into a contract with the technology company with suitable representations and warranties.

•           Completed an impact assessment on the LLM for this intended use.

•           Built technical guidance on how to measure and mitigate bias in the LLM.

•           Enabled technical aspects of transparency, explainability, robustness and privacy.

•           Followed applicable regulatory requirements.

•           Created specific legal statements and disclosures regarding the use of the Al on its client ' s advertising.

The technology company has:

•           Provided guidance and resources to developers to address environmental concerns.

•           Build technical guidance on how to measure and mitigate bias in the LLM.

•           Provided tools and resources to measure bias specific to the LLM.

•           Enabled technical aspects of transparency, explainability, robustness and privacy.

•           Mapped and mitigated potential societal harms and large-scale impacts.

•           Followed applicable regulatory requirements and industry standards.

•           Created specific legal statements and disclosures regarding the LLM. including with respect to IP and rights to data.

The marketing company and its tech provider have taken reasonable steps to govern the AI’s use, including legal disclosures, impact assessments, and bias mitigation. However, the company wants to takeone more stepto improve governance and reduce risks related to ongoing oversight and accountability.

While the marketing agency took steps to mitigate its risks, the best additional step would be to:

A.

Negotiate an intellectual property indemnity from the technology company

B.

Evaluate the use of AI in the marketing industry to identify best practices

C.

Engage a third party to lead the procurement selection process

D.

Establish a governance committee to oversee the project

According to the GDPR, what is an effective control to prevent a determination based solely on automated decision-making?

A.

Provide a just-in-time notice about the automated decision-making logic.

B.

Define suitable measures to safeguard personal data.

C.

Provide a right to review automated decision.

D.

Establish a human-in-the-loop procedure.

Your management consulting firm is planning to use an AI system to support its employees.

Which category of operator applies to the firm in this context?

A.

Authorized representative.

B.

Distributor.

C.

Provider.

D.

Deployer.

Testing data is defined as a subset of data that is used to?

A.

Assess a model ' s on-going performance in production.

B.

Enable a model to discover and learn patterns.

C.

Provide a robust evaluation of a final model.

D.

Evaluate a model’s handling of randomized edge cases.

Scenario:

A public sector agency is reviewing proposed AI use cases for improving services. It wants to prioritize implementations that deliver value butminimize unintended negative consequences.

When evaluating which AI use cases to implement, an organization should consider all of the following EXCEPT:

A.

Related TEVV (test, evaluate, verify, validate) and system metrics

B.

The users and their expectations

C.

Equitable access to the AI tool

D.

Potential positive and negative impacts of the system

All of the following types of testing can help evaluate the performance of a responsible Al system EXCEPT?

A.

Risk probability/severity.

B.

Adversarial robustness.

C.

Statistical sampling.

D.

Decision analysis.

Under the Canadian Artificial Intelligence and Data Act, when must the Minister of Innovation, Science and Industry be notified about a high-impact Al system?

A.

When use of the system causes or is likely to cause material harm.

B.

When the algorithmic impact assessment has been completed.

C.

Upon release of a new version of the system.

D.

Upon initial deployment of the system.