Ethical Considerations in AI Flashcards
7 cards from real CAIC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Ethical Considerations in AI flashcards as text
An AI system denies a citizen's benefit claim. Under the right to explanation (e.g., GDPR Article 22), the citizen is entitled to:
Answer: A meaningful explanation of the automated decision and the ability to contest it
GDPR Article 22 grants individuals the right to not be subject solely to automated decisions with significant effects, and to receive an explanation and human review.
Which testing methodology deliberately inputs unexpected or malformed data to expose AI safety vulnerabilities?
Answer: Red teaming / adversarial testing
Red teaming involves adversarial probing of an AI system to find failure modes, biases, or safety gaps before deployment.
Which scenario best illustrates the 'dual use' ethical dilemma in AI?
Answer: A natural language generation tool used for both automated journalism and disinformation campaigns
Dual use refers to technology that can serve both beneficial and harmful purposes, creating ethical responsibilities around deployment and access controls.
Autonomous weapon systems (AWS) raise which primary ethical concern unique to lethal AI applications?
Answer: Removing meaningful human control over life-and-death decisions
The core ethical objection to autonomous weapons is the removal of meaningful human judgment from decisions to use lethal force, violating principles of accountability.
An AI model trained on historical medical records recommends less aggressive pain treatment for Black patients. This reflects which documented bias type?
Answer: Historical bias perpetuating systemic inequity
Historical bias occurs when training data encodes past discriminatory practices, causing the model to reproduce and potentially amplify those inequities.
What is the primary purpose of an AI ethics board within an organization?
Answer: Providing independent oversight and governance of AI development and deployment decisions
An AI ethics board offers cross-functional governance to review ethical risks, set standards, and hold teams accountable before and after deployment.
Which concept describes the phenomenon where AI systems inherit and amplify societal stereotypes present in training data?
Answer: Stereotype amplification / representational harm
Stereotype amplification occurs when AI systems not only reflect but exaggerate biased associations found in training corpora, causing representational harms.