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Answer : D

The correct answer isD. AI Impact Assessments are primarily used to identify and managerisks and harmsassociated with AI systems.

From the AIGP Body of Knowledge:

''The goal of an AI impact assessment is to ensure that risks are identified, evaluated, and mitigated prior to or during development and deployment.''

As further confirmed in the AI Governance in Practice Report 2025 (Part III):

''Risk-based tools like DPIAs and Algorithmic Impact Assessments help identify potential risks to individuals and society, enabling organizations to implement mitigation plans and safeguards.''

While benefits may be noted in such assessments, thecore objectiveis to manage risks andpromote responsible AI.

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Answer : C

The correct answer is C because performing an impact assessment is the most effective proactive measure to identify and mitigate discrimination risks before model training and testing. AI governance frameworks emphasize early-stage risk identification, particularly for high-stakes domains like healthcare, where bias can lead to harmful or inequitable outcomes. Impact assessments, such as algorithmic or data protection impact assessments, evaluate potential harms, affected populations, and fairness risks prior to development. This enables organizations to design appropriate safeguards, adjust data selection, and implement mitigation strategies before biases become embedded in the model. Options like audits and bias bounty programs are reactive or post-development controls, while simply acquiring more data does not guarantee reduced bias without proper analysis. A structured impact assessment aligns with risk-based governance and supports fairness, accountability, and regulatory compliance.

Answer : D

AI's resource-intensive computing demands pose significant environmental risks. High-performance computing required for training and deploying AI models often leads to substantial energy consumption, which can result in increased carbon emissions and other environmental impacts. This is particularly relevant given the growing concern over climate change and the environmental footprint of technology. Organizations need to consider these environmental risks when developing AI systems, potentially exploring more energy-efficient methods and renewable energy sources to mitigate the environmental impact.

Answer : C

The correct answer is.C This action ties directly into principles of data minimization, purpose limitation, and lawfulness of processing, which are central to privacy and AI governance.

From the AIGP Body of Knowledge, Section on Privacy Considerations:

''Personal data must only be processed for specified and lawful purposes. Organizations must consider whether they have a legal basis for processing such data under data protection laws like the GDPR or CCPA.''

Additionally, AI Governance in Practice Report 2025 emphasizes:

''One of the most significant challenges when designing and developing AI systems is ensuring the data used is appropriate for the intended purpose... Managing unnecessary data, especially data that may contain sensitive attributes, can increase risk.''

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Answer : A

The correct answer is Engagement of a cross-functional team. Effective AI governance requires collaboration among various organizational functions including legal, compliance, IT, ethics, and data science.

From the AIGP Body of Knowledge:

''AI governance cannot be siloed---it requires input and oversight from across departments... A cross-functional team ensures that ethical, technical, legal, and operational risks are all appropriately managed.''

Also confirmed in the ILT Participant Guide:

''Cross-functional teams allow organizations to bring in different perspectives... Legal, compliance, and technical experts must work together to ensure responsible AI outcomes.''

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