AI Ethics and Bias Flashcards
6 cards from real Artificial Intelligence practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 AI Ethics and Bias flashcards as text
What is 'hallucination' in large language models?
Answer: Generating confident but factually incorrect or fabricated information
LLM hallucination occurs when the model produces plausible-sounding but false or invented information with unwarranted confidence.
What is a 'model card' in responsible AI?
Answer: A document disclosing a model's intended uses, limitations, performance, and ethical considerations
Model cards, proposed by Google, are documentation accompanying AI models to communicate their capabilities, limitations, and ethical considerations.
What is RLHF (Reinforcement Learning from Human Feedback) used for?
Answer: Aligning LLM outputs with human preferences using reward signals from human raters
RLHF trains a reward model from human preference comparisons, then uses RL to fine-tune the LLM to produce higher-rated outputs.
What is 'consent' in AI data collection?
Answer: Individuals knowingly and voluntarily agreeing to have their data collected and used
Consent requires that people are informed about data collection and freely agree to it before their data is used to train AI models.
What is 'AI safety' research broadly focused on?
Answer: Preventing AI systems from causing unintended or catastrophic harm
AI safety research works to ensure that AI systems behave reliably, predictably, and without causing unintended harm as they become more capable.
What does the NIST AI Risk Management Framework (AI RMF) provide to US organizations?
Answer: A voluntary framework for identifying, assessing, and managing risks in AI systems
The NIST AI RMF provides a voluntary, flexible framework to help organizations manage AI risks across the AI lifecycle.