Which of the following is a subcategory of Al and machine learning that uses labeled datasets to train algorithms?

• A. Generative Al.
• B. Segmentation.
• C. Supervised learning.
• D. Expert systems.

Scenario:
An organization is evaluating different AI models for integration into its internal workflows. Before moving forward with a particular AI solution from a third-party vendor, the governance team needs to assess the ethical and operational implications of the model.
The most important policy to assess the operations of an AI model is to follow the:

• A. Acceptable use policy of the model provider
• B. Privacy policy of the model provider
• C. Code of conduct policy of the model provider
• D. Security policy of the model provider

All of the following are penalties and enforcements outlined in the EU Al Act EXCEPT?

• A. Rules on General Purpose Al will apply after 6 months as a specific provision.
• B. Fines for violations of banned Al applications will be €35 million or 7% global annual turnover (whichever is higher).
• C. Fines for SMEs and startups will be proportionally capped.
• D. The Al Pact will act as a transitional bridge until the Regulations are fully enacted.

CASE STUDY
Please use the following answer the next question:
ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies.
ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model ("LLM"). In particular, ABC intends to use its historical customer data-including applications, policies, and claims-and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed a human underwriter for final review.
ABC and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. ABC has designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that the LLM declines a higher percentage of women's loan applications due primarily to women historically receiving lower salaries than men.
What is the best strategy to mitigate the bias uncovered in the loan applications?

• A. Procure a third-party statistical bias assessment tool.
• B. Document all instances of bias in the data set.
• C. Retrain the model with data that reflects demographic parity.
• D. Delete all gender-based data in the data set.