【26年版】IAPP AIGP 人工智能治理专家考试国际隐私专业协会（IAPP）

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A company is working to develop a self-driving car that can independently decide the appropriate route to take the driver after the driver provides an address. If they want to make this self-driving car“strong”AI,as opposed to "weak,"the engineers would also need to ensure?

All of the following may be permissible uses of an AI system under the EU AI Act EXCEPT?

An EU bank intends to launch a multi-modal AI platform for customer engagement and automated decision-making assist with the opening of bank accounts.The platform has been subject to thorough risk assessments and testing,where it proves to be effective in not discriminating against any individual on the basis of a protected class.What additional obligations must the bank fulfill prior to deployment?

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? What is the best strategy to mitigate the bias uncovered in the loan applications?

Which of the following most encourages accountability over AI systems?

According to the EU AI Act,providers of what kind of machine learning systems will be required to register with an EU oversight agency before placing their systems in the EU market?

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. Which of the following is the most important reason to train the underwriters on the model prior to deployment?

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

The framework set forth in the White House Blueprint for an AI Bill of Rights addresses all of the following EXCEPT?

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 ofpricing 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 tA.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,specificallyto 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. The best approach to enable a customer who wants information on the Al mode's parameters for underwriting purposes is to provide?

CASE STUDY Please use the following answer the next question: Good Values Corporation(GVC)is a U.S.educational services provider thatemploys teachers to create and deliver enrichment courses for high school students.GVC has learned that many of its teacher employees are using generative AI to create the enrichment courses,and that many of the students are using generative AI to complete their assignments. In particular,GVC has learned that the teachers they employ used open source large language models (“LLM”)to develop an online tool that customizes study questions for individual students.GVC has also discovered that an art teacher has expressly incorporated the use of generative AI into the curriculum to enable students to use prompts to create digital art. GVC has started to investigate these practices and develop a process to monitor any use of generative AI, including by teachers and students,going forward. What is the best reason for GVC to offer students the choice to utilize generative AI in limited,defined circumstances?

A US company has developed an AI system,CrimeBuster 9619,that collects information about incarcerated individuals to help parole boards predict whether someone is likely to commit another crime ifreleased from prison. When considering expanding to the EU market,this type of technology would?

What is the primary purpose of an AI impact assessment?

Under the NIST AI Risk Management Framework,all of the following are defined as characteristics of trustworthy AI EXCEPT?

A U.S.mortgage company developed an AI platform that was trained using anonymized details from mortgage applications,including the applicant's education,employment and demographic information,as well as from subsequent payment or default information.The AI platform will be used automatically grant or deny new mortgage applications,depending on whether the platform views an applicant as presenting a likely risk of default. Which of the following laws isNOT relevant to this use case?

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

You asked a generative AI tool to recommend new restaurants to explore in Boston,Massachusetts that have a specialty Italian dish made in a traditional fashion without spinach and wine.The generative AI tool recommended five restaurants for you to visit. After looking up the restaurants,you discovered one restaurant did not exist and two others did not have the dish. This information provided by the generative AI tool is an example of what is commonly called?

Which of the following is an example of a high-risk application under the EU AI Act?

A company developed AI technology that can analyze text,video,images and sound to tag content,including the names of animals,humans and objects. What type ofAl is this technology classified as?

Which risk management framework/guide/standard focuses on value-based engineering methodology?