Lecture 7 Flashcards
What is Artificial Intelligence (AI)?
The ability of machines to perform tasks that typically require human intelligence.
What is Machine Learning (ML)?
A subfield of AI where machines learn from data without being explicitly programmed.
What is supervised learning?
ML where the algorithm learns from labeled data.
What is unsupervised learning?
ML that identifies patterns in data without labels, such as clustering.
What is reinforcement learning?
A learning method based on trial-and-error using rewards to guide learning.
What is deep learning?
A type of ML using neural networks to learn patterns at different abstraction levels.
What is an adversarial input attack?
A method where slight changes to inputs trick ML models into incorrect classification.
What is a data poisoning attack?
Injecting bad data into training sets to manipulate how an ML model learns.
What is the ethical dilemma in AI for self-driving cars?
Deciding whether to protect passengers or pedestrians in crash scenarios.
What does AI ethics focus on?
Fairness, privacy, decision transparency, and societal impact of AI systems.
What is a backdoor attack in ML?
A hidden manipulation allowing attackers to trigger specific outputs using crafted inputs.
What is the benefit of reinforcement learning in AI?
It allows AI to learn behavior over time without explicit instruction.
