Florida ai 3
,1. Which ethical principle ensures that AI systems should not cause harm to
humans?
a) Transparency
b) Non-maleficence
c) Justice
d) Autonomy
Rationale: Non-maleficence means "do no harm," ensuring AI does not
negatively impact individuals or society.
2. In AI fairness, what is the main goal?
a) To maximize profits
b) To replace human workers
c) To reduce bias and discrimination
, d) To increase processing speed
Rationale: Fairness in AI seeks to prevent bias, ensuring equitable outcomes
for all demographic groups.
3. Which principle requires AI systems to clearly explain their decision-
making processes?
a) Transparency
b) Privacy
c) Accuracy
d) Efficiency
Rationale: Transparency ensures users understand how AI makes decisions,
building trust and accountability.
4. When AI algorithms use biased training data, what is the primary
ethical risk?
a) Faster computation
b) Discriminatory outcomes
c) Increased accuracy
d) Stronger security
Rationale: Biased data leads to discriminatory predictions or classifications,
harming vulnerable groups.
5. The GDPR emphasizes which ethical aspect of AI the most?
a) Data privacy and protection
b) Scalability
, c) Cost efficiency
,1. Which ethical principle ensures that AI systems should not cause harm to
humans?
a) Transparency
b) Non-maleficence
c) Justice
d) Autonomy
Rationale: Non-maleficence means "do no harm," ensuring AI does not
negatively impact individuals or society.
2. In AI fairness, what is the main goal?
a) To maximize profits
b) To replace human workers
c) To reduce bias and discrimination
, d) To increase processing speed
Rationale: Fairness in AI seeks to prevent bias, ensuring equitable outcomes
for all demographic groups.
3. Which principle requires AI systems to clearly explain their decision-
making processes?
a) Transparency
b) Privacy
c) Accuracy
d) Efficiency
Rationale: Transparency ensures users understand how AI makes decisions,
building trust and accountability.
4. When AI algorithms use biased training data, what is the primary
ethical risk?
a) Faster computation
b) Discriminatory outcomes
c) Increased accuracy
d) Stronger security
Rationale: Biased data leads to discriminatory predictions or classifications,
harming vulnerable groups.
5. The GDPR emphasizes which ethical aspect of AI the most?
a) Data privacy and protection
b) Scalability
, c) Cost efficiency
