To maintain fairness in a deployed system, it is most important to?

• A.Protect against loss of personal data in the model.
• B.Monitor for data drift that may affect performance and accuracy.
• C.Detect anomalies outside established metrics that require new training data.
• D.Optimize computational resources and data to ensure efficiency and scalability.

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A US-based mortgage lender has purchased a chatbot. They plan to have the chatbot collect information from consumers who are interested in loans and offer the consumers 2-3 different options based on its current pricing and product offerings, which change frequently. This chatbot was initially developed and previously deployed by a Russian airline for booking flights.
The best option for the part of the process that generates the loan offers is?

• A.Retrieval-Augmented Generation.
• B.Multimodal Generative AI.
• C.Expert System.
• D.Quantum computing

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Which of the following most encourages accountability over Al systems?

• A.Determining the business objective and success criteria for the Al project.
• B.Performing due diligence on third-party Al training and testing data.
• C.Defining the roles and responsibilities of Al stakeholders.
• D.Understanding Al legal and regulatory requirements.

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During the planning and design phases of the Al development life cycle, bias can be reduced by all of the following EXCEPT?

• A.Stakeholder involvement.
• B.Feature selection.
• C.Human oversight.
• D.Data collection.

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Scenario:
A large multinational organization is rolling out a company-wide AI governance initiative. To build awareness and support adoption, they are evaluating different ways to train employees and stakeholders across departments, including legal, technical, marketing, and customer-facing roles.
Which of the following typical approaches is a largeorganization leastlikely touse to responsibly train stakeholders on AI terminology, strategy and governance?

• A.Providing all technical employees education on AI development so they can retool and participate in the development of AI systems
• B.Providing training on AI ethics, based on the extent to which the organization seeks to promote a responsible AI culture
• C.Providing role-specific training, based on whether the organization uses a centralized, federated or decentralized governance model
• D.Providing information and education to customers and users to understand the capabilities and limitations of the AI tools with which they interact

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