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| Section | Objectives |
|---|---|
| Topic 1: AI Lifecycle Governance Implementation | - Operational governance controls
|
| Topic 2: Regulatory and Legal Frameworks for AI | - Global AI governance regulations
|
| Topic 3: Foundations of AI Systems and Governance | - AI system concepts, lifecycle, and terminology
|
| Topic 4: AI Risk Management and Impact Assessment | - Risk identification and mitigation
|
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NEW QUESTION # 156
The best method to ensure a comprehensive identification of risks for a new AI model is:
Answer: C
Explanation:
An impact assessment is specifically designed to provide a comprehensive, structured evaluation of all relevant risks - technical, ethical, legal, operational, and societal - before deploying an AI system.
NEW QUESTION # 157
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?
Answer: B
Explanation:
Offeringloan products based on current offerings and rulesrequires a system that can followexplicit business logic, not generate open-ended content. Anexpert system, which is a rules-based AI that uses "if- then" logic, is ideal here.
From the AI governance context:
"Rule-based AI systems are often preferred when decisions must adhere to precise regulatory or financial criteria." (aligned with AI best practices in regulated sectors)
* A. RAGis used to integrate external knowledge-not suitable for structured, rule-based logic.
* B. Multimodal modelshandle varied input types-not needed here.
* D. Quantum computingis not yet practical or relevant for this business use case.
NEW QUESTION # 158
CASE STUDY
Please use the following to answer the next question:
A leading insurance provider that offers a range of coverage options to individuals has decided to utilize AI to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies. The company has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model ("LLM").
The company 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 to a human underwriter for final review.
The company 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. They have 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, the company realizes that the LLM declines a higher percentage of women's applications.
The best approach to enable a customer who wants information on the AI model's parameters for underwriting purposes is to provide:
Answer: B
Explanation:
An AI model card is the appropriate mechanism for providing transparent, structured information about the model's purpose, parameters, data use, evaluation results, and limitations. It gives customers meaningful insight into how the AI contributes to underwriting decisions without exposing proprietary details.
NEW QUESTION # 159
When should an ethical impact assessment for AI be performed?
Answer: B
Explanation:
Ethical impact assessments should begin at the initial development stages and continue throughout the AI system's lifecycle to proactively identify and address ethical risks.
NEW QUESTION # 160
CASE STUDY
A company is considering the procurement of an AI system designed to enhance the security of IT infrastructure. The AI system analyzes how users type on their laptops, including typing speed, rhythm and pressure, to create a unique user profile. This data is then used to authenticate users and ensure that only authorized personnel can access sensitive resources.
When prioritizing the updates to its policies, rules and procedures to include the new AI system for user authentication, the organization should:
Answer: B
Explanation:
The correct answer is C. This action ties directly into principles of data minimization, purpose limitation, and lawfulness of processing, which are central to privacy and AI governance.
From the AIGP Body of Knowledge, Section on Privacy Considerations:
"Personal data must only be processed for specified and lawful purposes. Organizations must consider whether they have a legal basis for processing such data under data protection laws like the GDPR or CCPA." Additionally, AI Governance in Practice Report 2024 emphasizes:
"One of the most significant challenges when designing and developing AI systems is ensuring the data used is appropriate for the intended purpose... Managing unnecessary data, especially data that may contain sensitive attributes, can increase risk."
NEW QUESTION # 161
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