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During the development of semi-autonomous vehicles, various failures occurred as a result of the sensors misinterpreting environmental surroundings, such as sunlight.

These failures are an example of?

A.

Hallucination.

B.

Brittleness.

C.

Uncertainty.

D.

Forgetting.

The planning phase of the Al life cycle articulates all of the following EXCEPT the?

A.

Objective of the model.

B.

Approach to governance.

C.

Choice of the architecture.

D.

Context in which the model will operate.

A leading software development company wants to integrate AI-powered chatbots into their customer service platform. After researching various AI models in the market which have been developed by third-party developers, they ' re considering two options:

Option A - an open-source language model trained on a vast corpus of text data and capable of being trained to respond to natural language inputs.

Option B - a proprietary, generative AI model pre-trained on large data sets, which uses transformer-based architectures to generate human-like responses based on multimodal user input.

Option A would be the best choice for the company because?

A.

It is less expensive to run

B.

It may be better suited for applications requiring customization.

C.

It can handle voice commands and is more suitable for phone-based customer support.

D.

It is built for large-scale, complex dialogues and would be more effective in handling high-volume customer inquiries.

All of the following are examples of biometric data in the US EXCEPT?

A.

Iris scans.

B.

Walking gait.

C.

Keystroke dynamics.

D.

GPS location of a user ' s fitness watch.

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)?

A.

In case of AI Act prohibitions

B.

In case of breach of a provider ' s obligations for high-risk AI systems

C.

In case of the supply of misleading information to notified bodies in reply to a request

D.

In case of a breach of AI Act prohibition by the Union institutions, bodies, offices and agencies

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

A.

Feature selection.

B.

Feature validation.

C.

Feature transformation.

D.

Feature importance analysis.

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, whichincludes 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.

What is the best reason the police department should continue to perform investigations even if the Al system scores an individual ' s likelihood of criminal activity at or above 90%?

A.

Because the department did not perform an impact assessment for this intended use.

B.

Because Al systems that affect fundamental civil rights should not be fully automated.

C.

Because investigations may identify additional individuals involved in the crime.

D.

Because investigations may uncover information relevant to sentencing.

CASE STUDY

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.

To 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 deploy 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 organization continues planning the adoption of an AI tool to support hiring, but is concerned about potential bias in content generated by AI systems and how that could affect public perception.

Which of the following measures should the company adopt tobest mitigate its risk of reputational harmfrom using the AI tool?

A.

Test the AI tool pre- and post-deployment

B.

Ensure the vendor provides indemnification for the AI tool

C.

Require the procurement and deployment teams to agree upon the AI tool

D.

Continue to require the company’s hiring personnel to manually screen all applicants

All of the following are potential benefits of using private over public LLMs EXCEPT?

A.

Reduction in time taken for data validation and verification.

B.

Confirmation of security and confidentiality.

C.

Reduction in possibility of hallucinated information.

D.

Application for specific use cases within the enterprise.

Scenario:

Business A provides grammar and writing assistance tools and licenses a generative AI model from Business B to enhance its offerings. Business A is concerned that the AI model might produce inappropriate or toxic content and wants to implement governance processes to prevent this.

Which of the following governance processes should Business A take tobest protect its usersagainst potentially inappropriate text?

A.

Business A should fine-tune the AI model on user-generated text that has been verified to be appropriate

B.

Business A should test that the AI model performs as expected and meets their minimum requirements for filtering toxic or obscene text

C.

Business A should establish a user reporting feature that allows users to flag toxic or obscene text, and report any incidents to Business B

D.

Business A should ask Business B for detailed documentation on the generative AI model ' s training data and whether it contained toxic or obscene sources