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| Section | Objectives |
|---|---|
| Topic 1: Foundations of AI Systems and Governance | - AI system concepts, lifecycle, and terminology
|
| Topic 2: Regulatory and Legal Frameworks for AI | - Global AI governance regulations
|
| Topic 3: AI Risk Management and Impact Assessment | - Risk identification and mitigation
|
| Topic 4: AI Lifecycle Governance Implementation | - Operational governance controls
|
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NEW QUESTION # 111
You asked a generative AI tool to recommend new restaurants to explore in Boston, Massachusetts that have a specialty Italian dish made in a traditional fashion without spinach and wine. The generative AI tool recommended five restaurants for you to visit.
After looking up the restaurants, you discovered one restaurant did not exist and two others did not have the dish.
This information provided by the generative AI tool is an example of what is commonly called:
Answer: A
Explanation:
The AI generating incorrect or fabricated information, like nonexistent restaurants, is referred to as hallucination.
NEW QUESTION # 112
Which stakeholder is responsible for lawful collection of data for the training of the foundational AI model?
Answer: B
Explanation:
Data aggregators are third parties that collect and license data from various sources. They are responsible for ensuring thelawful collectionandproper usage rightsof the data they distribute - especially when such data is used to train foundational AI models.
From theAI Governance in Practice Report 2025:
"As organizations have neither proximity to how third-party data was first collected nor direct control over the data governance practices of third parties, an organization can benefit from carrying out its own legal due diligence and third-party risk management." (p. 19)
"Legal due diligence may include verification of the personal data ' s lawful collection by the databroker..." (p. 19) This confirms thatdata aggregatorsbear the legal and ethical burden to verify that data has been lawfully collected and is appropriately licensed for use, including in AI training.
* A. The marketing agencyandD. its clientmay use data, but they rely on upstream providers for its lawful origin.
* B. The tech companymay train the model but depends on lawful sourcing by data aggregators.
NEW QUESTION # 113
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?
Answer: C,D,E
Explanation:
The correct answers are A, C, and D because multiple regulatory regimes apply based on jurisdiction, data use, and deceptive practices. The EU AI Act applies because the system is being developed and tested in cooperation with an EU-based university and involves behavioral influence, which may fall under prohibited or high-risk AI practices, especially where manipulation or deception is present. The General Data Protection Regulation applies due to the processing of personal data of EU-based participants, particularly given the misleading study protocol, which violates principles such as transparency and informed consent. The Federal Trade Commission Act applies to the US company because deceptive or unfair practices, such as misleading participants about the purpose of experiments, fall under FTC enforcement. The Digital Services Act and PCI standards are not relevant to this specific use case.
NEW QUESTION # 114
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?
Answer: A
Explanation:
According to the Canadian Artificial Intelligence and Data Act, high-impact AI systems must notify the Minister of Innovation, Science and Industry upon initial deployment. This requirement ensures that the authorities are aware of the deployment of significant AI systems and can monitor their impacts and compliance with regulatory standards from the outset. This initial notification is crucial for maintaining oversight and ensuring the responsible use of AI technologies. Reference: AIGP Body of Knowledge, domain on AI laws and standards.
NEW QUESTION # 115
After initially deploying a third-party AI model, you learn the developer has released a new version. As deployer of this third-party model, what should you do?
Answer: C
Explanation:
When a third-party developer releases a new model version, the deployer must first audit the updated model to determine whether the changes introduce new risks, alter performance, or affect compliance obligations before considering deployment or communicating updates.
NEW QUESTION # 116
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