Artificial Intelligence Governance Professional v1.0

Which of the following disclosures is NOT required for an EU organization that developed and deployed a high-risk AI system?

In accordance with the EU AI Act, for how long after a high-risk AI system has been placed on the market must the provider keep the relevant documentations at the disposal of the national competent authorities?

The OECD’s Ethical AI Governance Framework is a self-regulation model that proposes to prevent societal harms by:

ISO 42001 International Standard offers guidance for organizations to develop trustworthy AI management systems by:

What is the main purpose of accountability structures under the Govern function of the NIST AI Risk Management Framework?

The initial pilot effort for NIST’s Assessing Risks and Impacts of AI (ARIA) Program is focused on risks associated with which of the following?

CASE STUDY -
Please use the following to answer the next question:
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 AI 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 AI 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 lawful collection of data for the training of the foundational AI model?

CASE STUDY -
Please use the following to answer the next question:
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 AI 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 AI 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.
All of the following results would be considered biased outputs from this AI system EXCEPT:

CASE STUDY -
Please use the following to answer the next question:
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 AI 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 AI 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.
All of the following should be included in the marketing company’s disclosures about the use of the LLM EXCEPT:

CASE STUDY -
Please use the following to answer the next question:
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 AI 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 AI 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.
While the marketing agency took steps to mitigate its risks, the best additional step would be to:

Which of the following use cases would be best served by a non-AI solution?

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

Which of the following steps occurs in the design phase of the AI life cycle?

What is most likely the first action that a developer takes to map, plan and scope an AI project?