1) Artificial Intelligence (AI): machines that can do things like humans
2) Machine Learning (ML): a field in which AI learns how to do things without being told exactly what to do
3) Deep Learning: a type of computer learning in which AI learns from examples, like looking at pictures
4) Neural Network: a type of computer learning that processes information like the human brain
5) Natural Language Processing (NLP): the ability to understand and use human language
6) Robotics: machines that can move and do things without human help
7) Computer Vision: computers that can see and understand what they see
8) Supervised Learning: when AI learns from examples where they know the right answers
9) Unsupervised Learning: when AI learns from examples where they don’t know the right answers
10) Reinforcement Learning: when AI learns by getting positive or negative responses
11) Algorithm: a set of instructions that tell a computer what to do
12) Big Data: huge volumes of data that computers can’t understand easily
13) Artificial General Intelligence (AGI): a type of AI that can learn and do anything a human can
14) Artificial Narrow Intelligence (ANI): a type of artificial intelligence that is designed to perform a specific task or set of tasks
15) Ethics in AI: considerations about whether AI is being used safely and fairly