IAPP Certified Artificial Intelligence Governance Professional : AIGP

According to the EU Al Act, providers of what kind of machine learning systems will be required to register with an EU oversight agency before placing their systems in the EU market?

• A. Al systems that are high-risk.
• B. Al systems trained on sensitive personal data.
• C. Al systems that are harmful based on a legal risk-utility calculation.
• D. Al systems that are "strong" general intelligence.

An EU bank intends to launch a multi-modal Al platform for customer engagement and automated decision-making assist with the opening of bank accounts. The platform has been subject to thorough risk assessments and testing, where it proves to be effective in not discriminating against any individual on the basis of a protected class.
What additional obligations must the bank fulfill prior to deployment?

• A. The bank must obtain explicit consent from users under the privacy Directive.
• B. The bank must disclose the use of the Al system and implement suitable measures for users to contest automated decision-making.
• C. The bank must disclose how the Al system works under the Ell Digital Services Act.
• D. The bank must subject the Al system an adequacy decision and publish its appropriate safeguards.

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?

• A. The marketing agency
• B. The marketing agency's client
• C. The data aggregator
• D. The tech company

You asked a generative Al 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 Al 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 Al tool is an example of what is commonly called?

• A. Model collapse.
• B. Hallucination.
• C. Prompt injection.
• D. Overfitting.

Which risk management framework/guide/standard focuses on value-based engineering methodology?

• A. Council of Europe Human Rights, Democracy, and the Rule of Law Assurance Framework (HUDERIA) for Al Systems.
• B. IEEE 7000-2021 Standard Model Process for Addressing Ethical Concerns during System Design.
• C. ISO 31000 Guidelines (Risk Management).
• D. ISO/IEC Guide 51 (Safety).