Describe Artificial Intelligence workloads and considerations →mediumMultiple ChoiceObjective-mapped
AI-900 Practice Question: Describe Artificial Intelligence workloads and considerations
A company implements an AI system to monitor employee productivity by tracking keystrokes and mouse movements. Employees are not informed that this monitoring is taking place, nor did they consent to it. Which Microsoft responsible AI principle is most directly violated?
⚠ Common exam trap
It's easy for candidates to confuse 'Privacy & Security' with 'Fairness' because they think monitoring without consent is 'unfair,' but the specific principle violated is about data control and transparency, not bias or discrimination.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Privacy & Security
The scenario describes monitoring employee keystrokes and mouse movements without their knowledge or consent. This directly violates the Privacy & Security principle, which requires that individuals have control over their personal data and that data collection is transparent and consensual. Microsoft's responsible AI framework mandates that AI systems must respect privacy and obtain informed consent before collecting or using personal data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Fairness
Why it's wrong here
The Fairness principle in the Microsoft responsible AI framework is concerned with preventing algorithmic bias that produces inequitable outcomes across protected groups such as race, gender, or age. In this scenario, the surveillance is applied uniformly to all employees and there is no indication that any demographic group is treated differently. The actual concern is unauthorized, non-consensual data collection, not a lack of equitable treatment, so Fairness does not apply.
- ✓
Privacy & Security
Why this is correct
Privacy & Security demands that AI systems collect personal data transparently, with informed consent, and protect that data from unauthorized access. Keystroke and mouse-movement data are considered personal identifiers, and monitoring employees without their knowledge directly violates the transparency and consent requirements of this principle. The covert nature of the system also raises security concerns because the data is being obtained in an unauthorized manner, making this the correct principle for the violation.
- ✗
Reliability & Safety
Why it's wrong here
The Reliability & Safety principle focuses on ensuring an AI system performs correctly, remains stable under varying conditions, and does not cause harm through errors, failures, or unsafe recommendations. This scenario contains no evidence of system malfunction, incorrect predictions, or harm stemming from the AI's operational behavior. Although the covert monitoring might be considered intrusive, that concern falls under consent and privacy, not under the engineering-focused Reliability & Safety principle.
- ✗
Inclusiveness
Why it's wrong here
Inclusiveness in AI-900 refers to designing AI solutions that empower everyone, including people with disabilities, and that avoid excluding or disadvantaging any user group. The described monitoring system does not discriminate against or exclude any particular population; the issue is that the data is gathered secretly. A violation of Inclusiveness would require accessibility gaps or underrepresentation, neither of which appears in this employee-monitoring scenario.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-900 exam.