New Year Sale Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: simple70

Pass the IAPP Artificial Intelligence Governance AIGP Questions and answers with CertsForce

Viewing page 1 out of 5 pages
Viewing questions 1-10 out of questions
Questions # 1:

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?

Options:

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.


Expert Solution
Questions # 2:

What type of organizational risk is associated with Al's resource-intensive computing demands?

Options:

A.

People risk.


B.

Security risk.


C.

Third-party risk.


D.

Environmental risk.


Expert Solution
Questions # 3:

CASE STUDY

Please use the following answer the next question:

XYZ Corp., a premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign and wants to implement policies and procedures to identify and retain the best talent. The new talent will help the company's product team expand its payroll offerings to companies in the healthcare and transportation sectors, including in Asia.

It has become time consuming and expensive for HR to review all resumes, and they are concerned that human reviewers might be susceptible to bias.

Address these concerns, the company is considering using a third-party Al tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party Al-enabled hiring solution, as long as it would achieve its goals and comply with all applicable laws.

The organization has a large procurement team that is responsible for the contracting of technology solutions. One of the procurement team's goals is to reduce costs, and it often prefers lower-cost solutions. Others within the company are responsible for integrating and deploying technology solutions into the organization's operations in a responsible, cost-effective manner.

The organization is aware of the risks presented by Al hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the Al hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.

The frameworks that would be most appropriate for XYZ's governance needs would be the NIST Al Risk Management Framework and?

Options:

A.

NIST Information Security Risk (NIST SP 800-39).


B.

NIST Cyber Security Risk Management Framework (CSF 2.0).


C.

IEEE Ethical System Design Risk Management Framework (IEEE 7000-21).


D.

Human Rights, Democracy, and Rule of Law Impact Assessment (HUDERIA).


Expert Solution
Questions # 4:

Scenario:

A financial services company is planning a new AI project to assess creditworthiness. The AI team is mapping out what tasks should be completed during theplanning phaseof the AI lifecycle.

The planning phase of the AI lifecycle includes all of the following EXCEPT:

Options:

A.

Definition of underlying assumptions


B.

Approach to governance


C.

Choice of the architecture


D.

Context in which the model will operate


Expert Solution
Questions # 5:

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

Options:

A.

A resume scanning tool that ranks applicants.


B.

An Al-enabled inventory management tool.


C.

A government-run social scoring tool.


D.

A customer service chatbot tool.


Expert Solution
Questions # 6:

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

Options:

A.

Iris scans


B.

Walking gait


C.

Keystroke dynamics


D.

GPS location of a user’s fitness watch


Expert Solution
Questions # 7:

Which of the following is a subcategory of Al and machine learning that uses labeled datasets to train algorithms?

Options:

A.

Segmentation.


B.

Generative Al.


C.

Expert systems.


D.

Supervised learning.


Expert Solution
Questions # 8:

The OECD's Ethical Al Governance Framework is a self-regulation model that proposes to prevent societal harms by?

Options:

A.

Establishing explain ability criteria to responsibly source and use data to train Al systems.


B.

Defining requirements specific to each industry sector and high-risk Al domain.


C.

Focusing on Al technical design and post-deployment monitoring.


D.

Balancing Al innovation with ethical considerations.


Expert Solution
Questions # 9:

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.

 

Which stakeholder is responsible for the lawful collection of data used to train the foundational AI model?

Options:

A.

The marketing agency


B.

The tech company


C.

The data aggregator


D.

The marketing agency’s client


Expert Solution
Questions # 10:

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?

Options:

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.


Expert Solution
Viewing page 1 out of 5 pages
Viewing questions 1-10 out of questions