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IAPP AIGP - Artificial Intelligence Governance Professional

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Total 164 questions

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.

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.

The data processed by the AI system would be classified as:

A.

Non-sensitive personal data, since it does not reveal information about health, gender or race

B.

Organizational data, since it is part of the authentication process

C.

Non-personal data, as long as it is not linked to a user ID

D.

Special category data, if it can be used to uniquely identify a person

CASE STUDY

A global marketing agency is adapting a large language model ("LLM") to generate content for an upcoming marketing campaign for a client's new product: a hard hat designed for construction workers of any gender to better protect them from head injuries.

The marketing agency is accessing the LLM through an application programming interface ("API") developed by a third-party technology company. They want to generate text to be used for targeted advertising communications that highlight the benefits of the hard hat to potential purchasers. Both the marketing agency and the technology company have taken reasonable steps to address Al governance.

The marketing company has:

•           Entered into a contract with the technology company with suitable representations and warranties.

•           Completed an impact assessment on the LLM for this intended use.

•           Built technical guidance on how to measure and mitigate bias in the LLM.

•           Enabled technical aspects of transparency, explainability, robustness and privacy.

•           Followed applicable regulatory requirements.

•           Created specific legal statements and disclosures regarding the use of the Al on its client's advertising.

The technology company has:

•           Provided guidance and resources to developers to address environmental concerns.

•           Build technical guidance on how to measure and mitigate bias in the LLM.

•           Provided tools and resources to measure bias specific to the LLM.

•           Enabled technical aspects of transparency, explainability, robustness and privacy.

•           Mapped and mitigated potential societal harms and large-scale impacts.

•           Followed applicable regulatory requirements and industry standards.

•           Created specific legal statements and disclosures regarding the LLM. including with respect to IP and rights to data.

The marketing company and its tech provider have taken reasonable steps to govern the AI’s use, including legal disclosures, impact assessments, and bias mitigation. However, the company wants to takeone more stepto improve governance and reduce risks related to ongoing oversight and accountability.

While the marketing agency took steps to mitigate its risks, the best additional step would be to:

A.

Negotiate an intellectual property indemnity from the technology company

B.

Evaluate the use of AI in the marketing industry to identify best practices

C.

Engage a third party to lead the procurement selection process

D.

Establish a governance committee to oversee the project

Which of the following is a foundational characteristic of effective AI governance?

A.

Engagement of a cross-functional team

B.

Reliance on tested vendor management processes

C.

Thorough reviews of a company’s public filings with experts

D.

Uniform policies and procedures across developer, deployer and user roles

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 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, 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.

Each of the following steps would support fairness testing by the compliance team during the first month in production EXCEPT?

A.

Validating a similar level of decision-making across different demographic groups.

B.

Providing the loan applicants with information about the model capabilities and limitations.

C.

Identifying if additional training data should be collected for specific demographic groups.

D.

Using tools to help understand factors that may account for differences in decision-making.

All of the following are common optimization techniques in deep learning to determine weights that represent the strength of the connection between artificial neurons EXCEPT?

A.

Gradient descent, which initially sets weights arbitrary values, and then at each step changes them.

B.

Momentum, which improves the convergence speed and stability of neural network training.

C.

Autoregression, which analyzes and makes predictions about time-series data.

D.

Backpropagation, which starts from the last layer working backwards.

Which of the following most encourages accountability over Al systems?

A.

Determining the business objective and success criteria for the Al project.

B.

Performing due diligence on third-party Al training and testing data.

C.

Defining the roles and responsibilities of Al stakeholders.

D.

Understanding Al legal and regulatory requirements.

Which of the following arenotconsidered biometric data under U.S. privacy laws?

A.

Iris scans

B.

Walking gait

C.

Keystroke dynamics

D.

GPS location of a user’s fitness watch

CASE STUDY

Please use the following answer the next question:

Good Values Corporation (GVC) is a U.S. educational services provider that employs teachers to create and deliver enrichment courses for high school students. GVC has learned that many of its teacher employees are using generative Al to create the enrichment courses, and that many of the students are using generative Al 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 Al 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 Al, including by teachers and students, going forward.

All of the following may be copyright risks from teachers using generative Al to create course content EXCEPT?

A.

Content created by an LLM may be protectable under U.S. intellectual property law.

B.

Generative Al is generally trained using intellectual property owned by third parties.

C.

Students must expressly consent to this use of generative Al.

D.

Generative Al often creates content without attribution.