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Get fully prepared for Ciscou2019s Advanced Interior Gateway Protocol (AIGP) with this comprehensive PDF, featuring real questions and verified expert answers.<br><br>
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Question 1. (Single Select) Machine learning is best described as a type of algorithm by which? A: Systems can mimic human intelligence with the goal of replacing humans. B: Systems can automatically improve from experience through predictive patterns. C: Statistical inferences are drawn from a sample with the goal of predicting human intelligence. D: Previously unknown properties are discovered in data and used to predict and make improvements in the data. Correct Answer: B Explanation: Machine learning (ML) is a subset of artificial intelligence (AI) where systems use data to learn and improve over time without being explicitly programmed. Option B accurately describes machine learning by stating that systems can automatically improve from experience through predictive patterns. This aligns with the fundamental concept of ML where algorithms analyze data, recognize patterns, and make decisions with minimal human intervention. AIGP BODY OF KNOWLEDGE, which covers the basics of AI and machine learning concepts. Question 2. (Multi Select) MULTI-SELECT Please select 3 of the 5 options below. No partial credit will be given. What are the roles and responsibilities of deployers of a proprietary model? A: Ethical testing. B: Ethical design. C: Technical performance. D: System documentation. E: Regulatory compliance. https://www.directcertify.com/iapp/aigp Page 2 of 7
Correct Answer: A, C, E Explanation: Deployers of proprietary models arenot responsible for design, but they are accountable for how the system performsin their context of use, including ensuring ethical behavior, performance, and legal compliance. From theAI Governance in Practice Report 2024: “Deployers of AI systems must take reasonable steps to ensure that systems are used ethically, perform safely, and align with applicable laws and standards.” (p. 11–12) “Operational governance… includes performance monitoring protocols, incident management plans, and regulatory oversight.” (p. 12) Thus: '??A?.? ?E?t?h?i?c?a?l? ?t?e?s?t?i?n?g?–? ?R?e?q?u?i?r?e?d? ?t?o? ?m?i?t?i?g?a?t?e? ?m?i?s?u?s?e? ?a?n?d? ?u?n?i?n?t?e?n?d?e?d? ?h?a?r?m?s?. 'L?B?.? ?E?t?h?i?c?a?l? ?d?e?s?i?g?n?–? ?B?e?l?o?n?g?s? ?t?o?d?e?v?e?l?o?p?e?r?s?/?p?r?o?v?i?d?e?r?s?,? ?n?o?t? ?d?e?p?l?o?y?e?r?s?. '??C?.? ?T?e?c?h?n?i?c?a?l? ?p?e?r?f?o?r?m?a?n?c?e?–? ?D?e?p?l?o?y?e?r?s? ?m?u?s?t? ?e?n?s?u?r?e? ?t?h?a?t? ?A?I? ?p?e?r?f?o?r?m?s? ?a?s? ?e?x?p?e?c?t?e?d?. 'L?D?.? ?S?y?s?t?e?m? ?d?o?c?u?m?e?n?t?a?t?i?o?n?–? ?T?h?i?s? ?i?s? ?t?h?e?p?r?o?v?i?d?e?r?’?s?o?b?l?i?g?a?t?i?o?n?. '??E?.? ?R?e?g?u?l?a?t?o?r?y? ?c?o?m?p?l?i?a?n?c?e?–? ?D?e?p?l?o?y?e?r?s? ?m?u?s?t? ?e?n?s?u?r?e? ?s?y?s?t?e?m? ?u?s?e? ?c?o?m?p?l?i?e?s? ?w?i?t?h? ?a?p?p?l?i?c?a?b?l?e? ?l?a?w?s?. Question 3. (Single Select) 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. https://www.directcertify.com/iapp/aigp Page 3 of 7
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 tA. human underwriter for final review. A: A transparency notice. B: An opt-out mechanism. C: Detailed terms of service. D: Customer service support. Correct Answer: A Explanation: The best approach to enable a customer who wants information on the AI model's parameters for underwriting purposes is to provide a transparency notice. This notice should explain the nature of the AI system, how it uses customer data, and the decision-making process it follows. Providing a transparency notice is crucial for maintaining trust and compliance with regulatory requirements regarding the transparency and accountability of AI systems. Question 4. (Single Select) 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. https://www.directcertify.com/iapp/aigp Page 4 of 7
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 theaccuracy, 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. Which of the following is the most important reason to train the underwriters on the model prior to deployment? A: Toprovide a reminder of a right appeal. B: Tosolicit on-going feedback on model performance. C: Toapply their own judgment to the initial assessment. D: Toensure they provide transparency applicants on the model. Correct Answer: C Explanation: Training underwriters on the model prior to deployment is crucial so they can apply their own judgment to the initial assessment. While AI models can streamline the process, human judgment is still essential to catch nuances that the model might miss or to account for any biases or errors in the model's decision-making process. Question 5. (Single Select) 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 https://www.directcertify.com/iapp/aigp Page 5 of 7
qualification assessment of potential customers, which would then be routed .. 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. During the first month when ABC monitors the model for bias, it is most important to? A: Continue disparity testing. B: Analyze the quality of the training and testing data. C: Compare the results to human decisions prior to deployment. D: Seek approval from management for any changes to the model. Correct Answer: A Explanation: During the first month of monitoring the model for bias, it is most important to continue disparity testing. Disparity testing involves regularly evaluating the model's decisions to identify and address any biases, ensuring that the model operates fairly across different demographic groups. https://www.directcertify.com/iapp/aigp Page 6 of 7
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