AIGP 무료 덤프문제 온라인 액세스

You are an engineer that developed an Al-based ad recommendation tool.
Which of the following should be monitored to evaluate the tool's effectiveness?

• A.Output data, assess the delta between the prediction and actual ad clicks.
• B.Input data, to ensure the ads are reaching the target audience.
• C.GPU performance, to evaluate the tool ' s robustness.
• D.Algorithmic patterns, to show the model has a high degree of accuracy.

MULTI-SELECT
Please select 3 of the 5 options below. No partial credit will be given.
In cooperation with an Italian University, a US technology company called Nudge 2078, with no offices or employees in other countries, is developing an AI system which subtly encourages " good " behaviors, such as saving money and exercising. The two companies plan to conduct some experiments on volunteers. However, the study protocol is misleading on the purpose of the study, the experiments that will be conducted and its relevance to the application.
Which regulations are most likely applicable?

• A.The General Data Protection Act.
• B.The Digital Services Act.
• C.The EU AI Act.
• D.Payment Card Industry PCI Standards.
• E.The Federal Trade Commission Act.

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.

When should an ethical impact assessment for AI be performed?

• A.After the AI system has encountered ethical issues in real-world applications.
• B.When the system is ready for production and deployment.
• C.When the number of AI system users has reached a predefined threshold.
• D.At the initial stages of AI system development and continually throughout its lifecycle.

Which of the following are subjects covered by a typical impact assessment?

• A.Toxicity, accuracy and development.
• B.Third-party risk, model risk and legal risk.
• C.Fundamental rights, data protection and safety.
• D.Datasets, behavior and tooling.