A Canadian company is developing an Al solution to evaluate candidates in the course of job interviews.

Before offering the Al solution in the EU market, the company must take all of the following steps EXCEPT?

What is the primary purpose of conducting ethical red-teaming on an Al system?

You are part of your organization’s ML engineering team and notice that the accuracy of a model that was recently deployed into production is deteriorating.

What is the best first step address this?

What is the best reason for a company adopt a policy that prohibits the use of generative Al?

Which type of existing assessment could best be leveraged to create an Al impact assessment?

CASE STUDY

Please use the following answer the next question:

A local police department in the United States procured an Al system to monitor and analyze social media feeds, online marketplaces and other sources of public information to detect evidence of illegal activities (e.g., sale of drugs or stolen goods). The Al system works by surveilling the public sites in order to identify individuals that are likely to have committed a crime. It cross-references the individuals against data maintained by law enforcement and then assigns a percentage score of the likelihood of criminal activity based on certain factors like previous criminal history, location, time, race and gender.

The police department retained a third-party consultant assist in the procurement process, specifically to evaluate two finalists. Each of the vendors provided information about their system's accuracy rates, the diversity of their training data and how their system works. The consultant determined that the first vendor’s system has a higher accuracy rate and based on this information, recommended this vendor to the police department.

The police department chose the first vendor and implemented its Al system. As part of the implementation, the department and consultant created a usage policy for the system, which includes training police officers on how the system works and how to incorporate it into their investigation process.

The police department has now been using the Al system for a year. An internal review has found that every time the system scored a likelihood of criminal activity at or above 90%, the police investigation subsequently confirmed that the individual had, in fact, committed a crime. Based on these results, the police department wants to forego investigations for cases where the Al system gives a score of at least 90% and proceed directly with an arrest.

When notifying an accused perpetrator, what additional information should a police officer provide about the use of the Al system?

All of the following are reasons to deploy a challenger Al model in addition a champion Al model EXCEPT to?

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 company has trained an ML model primarily using synthetic data, and now intends to use live personal data to test the model.

Which of the following is NOT a best practice apply during the testing?

Which of the following is the least relevant consideration in assessing whether users should be given the right to opt out from an Al system?

During the planning and design phases of the Al development life cycle, bias can be reduced by all of the following EXCEPT?

Training data is best defined as a subset of data that is used to?

According to the GDPR's transparency principle, when an Al system processes personal data in automated decision-making, controllers are required to provide data subjects specific information on?

The processes and methods that allow human users to understand and trust the outputs produced by AI are important in addressing which key regulatory concern?

Each of the following actors are typically engaged in the Al development life cycle EXCEPT?

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.

What is the best reason for GVC to offer students the choice to utilize generative Al in limited, defined circumstances?

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

Under the Canadian Artificial Intelligence and Data Act, when must the Minister of Innovation, Science and Industry be notified about a high-impact Al system?

Scenario:

An organization is developing a powerful general-purpose AI (GPAI) model that has systemic impact. The compliance team is assessing what legal obligations apply under the EU AI Act.

Under the EU AI Act, which of the following compliance actions applies only to General Purpose AI models with systemic risk?

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

To maintain fairness in a deployed system, it is most important to?

Which of the following elements of feature engineering is most important to mitigate the potential bias in an Al system?

Which of the following would be the least likely step for an organization to take when designing an integrated compliance strategy for responsible Al?

Which of the following are not considered biometric data under U.S. privacy laws?

Random forest algorithms are in what type of machine learning model?

Which of the following Al uses is best described as human-centric?

A US company has developed an Al system, CrimeBuster 9619, that collects information about incarcerated individuals to help parole boards predict whether someone is likely to commit another crime if released from prison.

When considering expanding to the EU market, this type of technology would?

All of the following are included within the scope of post-deployment Al maintenance EXCEPT?

Which of the following deployments of generative Al best respects intellectual property rights?

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 take one more step to 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:

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

After completing model testing and validation, which of the following is the most important step that an organization takes prior to deploying the model into production?

A company initially intended to use a large data set containing personal information to train an Al model. After consideration, the company determined that it can derive enough value from the data set without any personal information and permanently obfuscated all personal data elements before training the model.

This is an example of applying which privacy-enhancing technique (PET)?

Which of the following best defines an "Al model"?

A U.S. mortgage company developed an Al 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 Al 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 is NOT relevant to this use case?

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.

Which other stakeholder groups should be involved in the selection and implementation of the Al hiring tool?

A company developed Al technology that can analyze text, video, images and sound to tag content, including the names of animals, humans and objects.

What type of Al is this technology classified as?

Scenario:

A European AI technology company was found to be non-compliant with certain provisions of the EU AI Act. The regulator is considering penalties under the enforcement provisions of the regulation.

According to the EU AI Act, which of the following non-compliance examples could lead to fines of up to €15 million or 3% of annual worldwide turnover (whichever is higher)?

An Al system that maintains its level of performance within defined acceptable limits despite real world or adversarial conditions would be described as?