Introduction to Artificial Intelligence

These flashcards cover key vocabulary and concepts related to artificial intelligence, reflecting discussions from the lecture notes.

Artificial Intelligence (AI)

A branch of computer science that aims to create systems capable of performing tasks that typically require human intelligence.

Autonomy

The ability to perform tasks in complex environments without constant guidance from a user.

Adaptivity

The ability to improve performance by learning from experience.

Self-driving cars

Vehicles that use a combination of AI techniques to navigate and drive without human intervention.

Content recommendation

Personalized suggestions for users generated by algorithms used in social media, streaming services, and advertising.

Image recognition

The process of identifying and classifying objects within digital images or videos.

Narrow AI

AI systems that are designed to perform a specific task or problem, as opposed to general intelligence.

Machine Learning

A subset of AI that focuses on the development of algorithms that allow computers to learn from and make predictions based on data.

Neural Networks

A model used in machine learning that is inspired by the structure and function of the human brain, consisting of interconnected nodes or neurons.

Deep Learning

A subset of machine learning based on neural networks with many layers that can learn from vast amounts of data.

Reinforcement Learning

A type of machine learning where an agent learns to make decisions by taking actions in an environment to maximize cumulative reward.

Filter bubbles

A situation in which algorithms selectively guess what information a user would like to see based on past preferences.

Echo chambers

Social structures where individuals only encounter information or opinions that reflect and reinforce their own.

Troll factories

Organizations that create misleading or false information online to manipulate public opinion or disrupt processes.

Suitcase word

A term that carries multiple meanings and interpretations, which can lead to misunderstandings.