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Google Generative AI Leader Bundle

Exam Code: Generative AI Leader

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Google Generative AI Leader Practice Test 80

Question 790

The business case is: A credit review uses incomplete historical records as the sole basis for approval recommendations. Which TWO options together provide a suitable intervention and an independent acceptance check? (Select TWO.)

  1. An incident rehearsal traces the output to authorized sources, model versions, review decisions and an accountable owner.
  2. Minimize personal data sent to models and apply suitable anonymization or pseudonymization while retaining needed utility and access controls.
  3. Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias.
  4. Disclose relevant AI assistance and communicate known limitations, uncertainty and escalation channels to affected users.
  5. A representative evaluation reports relevant subgroup errors and documents action when inequitable impacts emerge.

Explanation

Correct Answers

C:

The intervention for the stated situation A credit review uses incomplete historical records as the sole basis for approval recommendations is: Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias. It directly mitigates: Overall accuracy can hide biased outputs that systematically disadvantage smaller or underrepresented groups.

E:

A separate outcome check for the situation A credit review uses incomplete historical records as the sole basis for approval recommendations is: A representative evaluation reports relevant subgroup errors and documents action when inequitable impacts emerge. It measures the effect of the selected intervention rather than relying on the existence of a proposal.

Incorrect Answers

A:

This choice addresses accountability, explainability and human oversight; its main associated risk is: An opaque automated verdict with no accountable reviewer or challenge path can be unsafe and impossible to audit. However, the situation A credit review uses incomplete historical records as the sole basis for approval recommendations is primarily about fairness, representation and data quality in business. The targeted decision is: Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias.

B:

This choice addresses privacy minimization and de-identification; its main associated risk is: Removing a visible name alone may not prevent re-identification or unauthorized secondary processing. However, the situation A credit review uses incomplete historical records as the sole basis for approval recommendations is primarily about fairness, representation and data quality in business. The targeted decision is: Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias.

D:

This choice addresses responsible ai transparency and user understanding; its main associated risk is: Users may mistake automated content for verified professional judgment if AI involvement and limitations are hidden. However, the situation A credit review uses incomplete historical records as the sole basis for approval recommendations is primarily about fairness, representation and data quality in business. The targeted decision is: Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias.

Question 791

A business team evaluating generative AI encounters this situation: A sponsor considers high overall accuracy enough despite a much higher error rate for a minority customer group. It must choose a solution that is useful, secure, properly sourced, and appropriate for its constraints. Which first change most directly addresses the observed failure?

  1. Minimize personal data sent to models and apply suitable anonymization or pseudonymization while retaining needed utility and access controls.
  2. Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.
  3. Disclose relevant AI assistance and communicate known limitations, uncertainty and escalation channels to affected users.
  4. Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias.

Explanation

Correct Answer

D:

The decisive detail is: A sponsor considers high overall accuracy enough despite a much higher error rate for a minority customer group. The appropriate business or technical decision is: Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias. The risk avoided is that overall accuracy can hide biased outputs that systematically disadvantage smaller or underrepresented groups. Confirm the outcome through: A representative evaluation reports relevant subgroup errors and documents action when inequitable impacts emerge.

Incorrect Answers

A:

This choice addresses privacy minimization and de-identification; its main associated risk is: Removing a visible name alone may not prevent re-identification or unauthorized secondary processing. However, the situation A sponsor considers high overall accuracy enough despite a much higher error rate for a minority customer group is primarily about fairness, representation and data quality in business. The targeted decision is: Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias.

B:

This choice addresses accountability, explainability and human oversight; its main associated risk is: An opaque automated verdict with no accountable reviewer or challenge path can be unsafe and impossible to audit. However, the situation A sponsor considers high overall accuracy enough despite a much higher error rate for a minority customer group is primarily about fairness, representation and data quality in business. The targeted decision is: Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias.

C:

This choice addresses responsible ai transparency and user understanding; its main associated risk is: Users may mistake automated content for verified professional judgment if AI involvement and limitations are hidden. However, the situation A sponsor considers high overall accuracy enough despite a much higher error rate for a minority customer group is primarily about fairness, representation and data quality in business. The targeted decision is: Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias.

Question 792

A business case reports: A sponsor considers high overall accuracy enough despite a much higher error rate for a minority customer group. What risk should the decision-maker address before deployment?

  1. Overall accuracy can hide biased outputs that systematically disadvantage smaller or underrepresented groups.
  2. An opaque automated verdict with no accountable reviewer or challenge path can be unsafe and impossible to audit.
  3. Users may mistake automated content for verified professional judgment if AI involvement and limitations are hidden.
  4. Removing a visible name alone may not prevent re-identification or unauthorized secondary processing.

Explanation

Correct Answer

A:

This case exposes a specific failure mode: Overall accuracy can hide biased outputs that systematically disadvantage smaller or underrepresented groups. In the situation A sponsor considers high overall accuracy enough despite a much higher error rate for a minority customer group, the recommended response is: Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias. Independent evidence would be: A representative evaluation reports relevant subgroup errors and documents action when inequitable impacts emerge.

Incorrect Answers

B:

This choice addresses accountability, explainability and human oversight; its main associated risk is: An opaque automated verdict with no accountable reviewer or challenge path can be unsafe and impossible to audit. However, the situation A sponsor considers high overall accuracy enough despite a much higher error rate for a minority customer group is primarily about fairness, representation and data quality in business. The targeted decision is: Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias.

C:

This choice addresses responsible ai transparency and user understanding; its main associated risk is: Users may mistake automated content for verified professional judgment if AI involvement and limitations are hidden. However, the situation A sponsor considers high overall accuracy enough despite a much higher error rate for a minority customer group is primarily about fairness, representation and data quality in business. The targeted decision is: Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias.

D:

This choice addresses privacy minimization and de-identification; its main associated risk is: Removing a visible name alone may not prevent re-identification or unauthorized secondary processing. However, the situation A sponsor considers high overall accuracy enough despite a much higher error rate for a minority customer group is primarily about fairness, representation and data quality in business. The targeted decision is: Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias.

Question 793

A business team evaluating generative AI encounters this situation: An insurance claim denial is automatically sent without any named reviewer or appeal mechanism. It must choose a solution that is useful, secure, properly sourced, and appropriate for its constraints. Which response best meets the business need and its stated limits?

  1. Disclose relevant AI assistance and communicate known limitations, uncertainty and escalation channels to affected users.
  2. Minimize personal data sent to models and apply suitable anonymization or pseudonymization while retaining needed utility and access controls.
  3. Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias.
  4. Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

Explanation

Correct Answer

D:

The decisive detail is: An insurance claim denial is automatically sent without any named reviewer or appeal mechanism. The appropriate business or technical decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes. The risk avoided is that an opaque automated verdict with no accountable reviewer or challenge path can be unsafe and impossible to audit. Confirm the outcome through: An incident rehearsal traces the output to authorized sources, model versions, review decisions and an accountable owner.

Incorrect Answers

A:

This choice addresses responsible ai transparency and user understanding; its main associated risk is: Users may mistake automated content for verified professional judgment if AI involvement and limitations are hidden. However, the situation An insurance claim denial is automatically sent without any named reviewer or appeal mechanism is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

B:

This choice addresses privacy minimization and de-identification; its main associated risk is: Removing a visible name alone may not prevent re-identification or unauthorized secondary processing. However, the situation An insurance claim denial is automatically sent without any named reviewer or appeal mechanism is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

C:

This choice addresses fairness, representation and data quality in business; its main associated risk is: Overall accuracy can hide biased outputs that systematically disadvantage smaller or underrepresented groups. However, the situation An insurance claim denial is automatically sent without any named reviewer or appeal mechanism is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

Question 794

A gen AI initiative reports: An insurance claim denial is automatically sent without any named reviewer or appeal mechanism. Which measurement or trial should be required before approval?

  1. A privacy assessment tests whether the data shared is necessary, suitably protected and resistant to reasonable re-identification.
  2. A representative evaluation reports relevant subgroup errors and documents action when inequitable impacts emerge.
  3. A user study verifies clear disclosure, correction paths and appropriate escalation for uncertain high-impact output.
  4. An incident rehearsal traces the output to authorized sources, model versions, review decisions and an accountable owner.

Explanation

Correct Answer

D:

The key acceptance evidence for An insurance claim denial is automatically sent without any named reviewer or appeal mechanism is: An incident rehearsal traces the output to authorized sources, model versions, review decisions and an accountable owner. It checks whether the team actually implemented: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes. A product configuration, demo, or persuasive response alone is not proof.

Incorrect Answers

A:

This choice addresses privacy minimization and de-identification; its main associated risk is: Removing a visible name alone may not prevent re-identification or unauthorized secondary processing. However, the situation An insurance claim denial is automatically sent without any named reviewer or appeal mechanism is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

B:

This choice addresses fairness, representation and data quality in business; its main associated risk is: Overall accuracy can hide biased outputs that systematically disadvantage smaller or underrepresented groups. However, the situation An insurance claim denial is automatically sent without any named reviewer or appeal mechanism is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

C:

This choice addresses responsible ai transparency and user understanding; its main associated risk is: Users may mistake automated content for verified professional judgment if AI involvement and limitations are hidden. However, the situation An insurance claim denial is automatically sent without any named reviewer or appeal mechanism is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

Question 795

A business team evaluating generative AI encounters this situation: A bank needs to explain what evidence supported an AI risk recommendation. It must choose a solution that is useful, secure, properly sourced, and appropriate for its constraints. What should the initiative prioritize to address the primary issue?

  1. Minimize personal data sent to models and apply suitable anonymization or pseudonymization while retaining needed utility and access controls.
  2. Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias.
  3. Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.
  4. Disclose relevant AI assistance and communicate known limitations, uncertainty and escalation channels to affected users.

Explanation

Correct Answer

C:

The decisive detail is: A bank needs to explain what evidence supported an AI risk recommendation. The appropriate business or technical decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes. The risk avoided is that an opaque automated verdict with no accountable reviewer or challenge path can be unsafe and impossible to audit. Confirm the outcome through: An incident rehearsal traces the output to authorized sources, model versions, review decisions and an accountable owner.

Incorrect Answers

A:

This choice addresses privacy minimization and de-identification; its main associated risk is: Removing a visible name alone may not prevent re-identification or unauthorized secondary processing. However, the situation A bank needs to explain what evidence supported an AI risk recommendation is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

B:

This choice addresses fairness, representation and data quality in business; its main associated risk is: Overall accuracy can hide biased outputs that systematically disadvantage smaller or underrepresented groups. However, the situation A bank needs to explain what evidence supported an AI risk recommendation is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

D:

This choice addresses responsible ai transparency and user understanding; its main associated risk is: Users may mistake automated content for verified professional judgment if AI involvement and limitations are hidden. However, the situation A bank needs to explain what evidence supported an AI risk recommendation is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

Question 796

A business case reports: A bank needs to explain what evidence supported an AI risk recommendation. Why is this design likely to fail its intended business outcome?

  1. Removing a visible name alone may not prevent re-identification or unauthorized secondary processing.
  2. An opaque automated verdict with no accountable reviewer or challenge path can be unsafe and impossible to audit.
  3. Overall accuracy can hide biased outputs that systematically disadvantage smaller or underrepresented groups.
  4. Users may mistake automated content for verified professional judgment if AI involvement and limitations are hidden.

Explanation

Correct Answer

B:

This case exposes a specific failure mode: An opaque automated verdict with no accountable reviewer or challenge path can be unsafe and impossible to audit. In the situation A bank needs to explain what evidence supported an AI risk recommendation, the recommended response is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes. Independent evidence would be: An incident rehearsal traces the output to authorized sources, model versions, review decisions and an accountable owner.

Incorrect Answers

A:

This choice addresses privacy minimization and de-identification; its main associated risk is: Removing a visible name alone may not prevent re-identification or unauthorized secondary processing. However, the situation A bank needs to explain what evidence supported an AI risk recommendation is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

C:

This choice addresses fairness, representation and data quality in business; its main associated risk is: Overall accuracy can hide biased outputs that systematically disadvantage smaller or underrepresented groups. However, the situation A bank needs to explain what evidence supported an AI risk recommendation is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

D:

This choice addresses responsible ai transparency and user understanding; its main associated risk is: Users may mistake automated content for verified professional judgment if AI involvement and limitations are hidden. However, the situation A bank needs to explain what evidence supported an AI risk recommendation is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

Question 797

A business team evaluating generative AI encounters this situation: A customer disputes an automated support decision but no staff member owns correction. It must choose a solution that is useful, secure, properly sourced, and appropriate for its constraints. Which approach is most defensible under these requirements?

  1. Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.
  2. Minimize personal data sent to models and apply suitable anonymization or pseudonymization while retaining needed utility and access controls.
  3. Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias.
  4. Disclose relevant AI assistance and communicate known limitations, uncertainty and escalation channels to affected users.

Explanation

Correct Answer

A:

The decisive detail is: A customer disputes an automated support decision but no staff member owns correction. The appropriate business or technical decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes. The risk avoided is that an opaque automated verdict with no accountable reviewer or challenge path can be unsafe and impossible to audit. Confirm the outcome through: An incident rehearsal traces the output to authorized sources, model versions, review decisions and an accountable owner.

Incorrect Answers

B:

This choice addresses privacy minimization and de-identification; its main associated risk is: Removing a visible name alone may not prevent re-identification or unauthorized secondary processing. However, the situation A customer disputes an automated support decision but no staff member owns correction is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

C:

This choice addresses fairness, representation and data quality in business; its main associated risk is: Overall accuracy can hide biased outputs that systematically disadvantage smaller or underrepresented groups. However, the situation A customer disputes an automated support decision but no staff member owns correction is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

D:

This choice addresses responsible ai transparency and user understanding; its main associated risk is: Users may mistake automated content for verified professional judgment if AI involvement and limitations are hidden. However, the situation A customer disputes an automated support decision but no staff member owns correction is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

Question 798

A gen AI initiative reports: A customer disputes an automated support decision but no staff member owns correction. Which measurement or trial should be required before approval?

  1. A privacy assessment tests whether the data shared is necessary, suitably protected and resistant to reasonable re-identification.
  2. A user study verifies clear disclosure, correction paths and appropriate escalation for uncertain high-impact output.
  3. A representative evaluation reports relevant subgroup errors and documents action when inequitable impacts emerge.
  4. An incident rehearsal traces the output to authorized sources, model versions, review decisions and an accountable owner.

Explanation

Correct Answer

D:

The key acceptance evidence for A customer disputes an automated support decision but no staff member owns correction is: An incident rehearsal traces the output to authorized sources, model versions, review decisions and an accountable owner. It checks whether the team actually implemented: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes. A product configuration, demo, or persuasive response alone is not proof.

Incorrect Answers

A:

This choice addresses privacy minimization and de-identification; its main associated risk is: Removing a visible name alone may not prevent re-identification or unauthorized secondary processing. However, the situation A customer disputes an automated support decision but no staff member owns correction is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

B:

This choice addresses responsible ai transparency and user understanding; its main associated risk is: Users may mistake automated content for verified professional judgment if AI involvement and limitations are hidden. However, the situation A customer disputes an automated support decision but no staff member owns correction is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

C:

This choice addresses fairness, representation and data quality in business; its main associated risk is: Overall accuracy can hide biased outputs that systematically disadvantage smaller or underrepresented groups. However, the situation A customer disputes an automated support decision but no staff member owns correction is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

Question 799

A business team evaluating generative AI encounters this situation: A regulator asks who authorized the model's use in a consequential business workflow. It must choose a solution that is useful, secure, properly sourced, and appropriate for its constraints. Which first change most directly addresses the observed failure?

  1. Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.
  2. Disclose relevant AI assistance and communicate known limitations, uncertainty and escalation channels to affected users.
  3. Minimize personal data sent to models and apply suitable anonymization or pseudonymization while retaining needed utility and access controls.
  4. Evaluate disparate outcomes and data quality for relevant groups and document appropriate review and mitigation of harmful bias.

Explanation

Correct Answer

A:

The decisive detail is: A regulator asks who authorized the model's use in a consequential business workflow. The appropriate business or technical decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes. The risk avoided is that an opaque automated verdict with no accountable reviewer or challenge path can be unsafe and impossible to audit. Confirm the outcome through: An incident rehearsal traces the output to authorized sources, model versions, review decisions and an accountable owner.

Incorrect Answers

B:

This choice addresses responsible ai transparency and user understanding; its main associated risk is: Users may mistake automated content for verified professional judgment if AI involvement and limitations are hidden. However, the situation A regulator asks who authorized the model's use in a consequential business workflow is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

C:

This choice addresses privacy minimization and de-identification; its main associated risk is: Removing a visible name alone may not prevent re-identification or unauthorized secondary processing. However, the situation A regulator asks who authorized the model's use in a consequential business workflow is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

D:

This choice addresses fairness, representation and data quality in business; its main associated risk is: Overall accuracy can hide biased outputs that systematically disadvantage smaller or underrepresented groups. However, the situation A regulator asks who authorized the model's use in a consequential business workflow is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

Question 800

The business case is: A regulator asks who authorized the model's use in a consequential business workflow. Select TWO: the appropriate design decision and convincing validation evidence. (Select TWO.)

  1. Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.
  2. A representative evaluation reports relevant subgroup errors and documents action when inequitable impacts emerge.
  3. An incident rehearsal traces the output to authorized sources, model versions, review decisions and an accountable owner.
  4. Disclose relevant AI assistance and communicate known limitations, uncertainty and escalation channels to affected users.
  5. Minimize personal data sent to models and apply suitable anonymization or pseudonymization while retaining needed utility and access controls.

Explanation

Correct Answers

A:

The intervention for the stated situation A regulator asks who authorized the model's use in a consequential business workflow is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes. It directly mitigates: An opaque automated verdict with no accountable reviewer or challenge path can be unsafe and impossible to audit.

C:

A separate outcome check for the situation A regulator asks who authorized the model's use in a consequential business workflow is: An incident rehearsal traces the output to authorized sources, model versions, review decisions and an accountable owner. It measures the effect of the selected intervention rather than relying on the existence of a proposal.

Incorrect Answers

B:

This choice addresses fairness, representation and data quality in business; its main associated risk is: Overall accuracy can hide biased outputs that systematically disadvantage smaller or underrepresented groups. However, the situation A regulator asks who authorized the model's use in a consequential business workflow is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

D:

This choice addresses responsible ai transparency and user understanding; its main associated risk is: Users may mistake automated content for verified professional judgment if AI involvement and limitations are hidden. However, the situation A regulator asks who authorized the model's use in a consequential business workflow is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.

E:

This choice addresses privacy minimization and de-identification; its main associated risk is: Removing a visible name alone may not prevent re-identification or unauthorized secondary processing. However, the situation A regulator asks who authorized the model's use in a consequential business workflow is primarily about accountability, explainability and human oversight. The targeted decision is: Assign a named business decision owner, preserve source evidence and provide appropriate explanation and appeal channels for impactful AI outcomes.