A
AI Ethics
The rules we follow to make sure AI is used in a way that is fair, safe, and good for everyone in the world.
Algorithm
A step-by-step set of instructions for a computer to follow to finish a task, just like a recipe for baking a cake.
API (Application Programming Interface)
A digital 'plug' that lets one app talk to another app and borrow its AI powers to do cool things.
Artificial Intelligence (AI)
Computer systems that can do things that usually require human intelligence, like learning, solving problems, and making decisions.
Augmented Reality (AR)
When digital images or information are placed on top of the real world, like seeing a virtual dragon in your living room through a phone.
Automation
When a computer or a machine is set up to do a job all by itself, without a human needing to help every time.
Avatar
A digital character that represents you in a game or a virtual world, often created or customized with the help of AI.
B
Backpropagation
The way an AI looks at a mistake it made and goes back through its steps to figure out how to do better next time.
Bias
When an AI makes unfair decisions because the information it learned from was missing some important parts or was one-sided.
Big Data
Huge piles of information that AI systems look through to find hidden patterns that humans might miss.
Biometrics
Using unique parts of your body—like your fingerprints or your eyes—as a super-secure way to identify you or unlock a device.
C
Chatbot
A computer program designed to have conversations with people, like a digital assistant that answers your questions.
Closed Source
When a company keeps the inner workings of their AI a secret, so only they know exactly how it was built.
Cloud Computing
The giant network of computers on the internet where AI 'lives' and does all its heavy thinking and work.
Computer Vision
The part of AI that helps computers 'see' and understand what is in a picture or a video, just like human eyes do.
D
Data
Information like numbers, words, or pictures that AI uses to learn and make decisions.
Deep Learning
A very powerful type of machine learning that uses many layers of connections to solve really hard problems.
Deepfake
AI-made videos, photos, or voices that look and sound like real people but are actually created by a computer. We must be careful with these!
Digital Assistant
An AI-powered helper (like Siri or Alexa) that can answer questions, play music, and help you stay organized.
E
Edge AI
When AI lives directly on a small device (like a smartwatch or a drone) instead of needing to talk to a giant computer on the internet.
Encryption
A way of scrambling secret information so that only the person with the special 'key' can read it, keeping your data safe.
F
Face Recognition
A type of computer vision that can identify a specific person just by looking at the features of their face.
Feature Engineering
Picking out the most important bits of information to help an AI learn a new skill more quickly.
Fine-tuning
Taking a smart AI that already knows a lot and giving it a little bit of extra training to make it an expert at one specific job.
G
Generative AI
A type of AI that can create new things like stories, art, music, or even code, instead of just following rules.
GPU (Graphics Processing Unit)
A special part inside a computer that is really good at doing many tiny math problems at once, which makes AI much faster.
H
Hallucination
When an AI gets a bit confused and makes up something that sounds true but is actually not real at all.
I
Internet of Things (IoT)
When everyday objects like fridges, lights, or watches are connected to the internet so they can talk to each other.
L
Large Language Model (LLM)
A giant AI brain that has read almost everything on the internet to learn how to talk, write, and answer questions just like a human.
M
Machine Learning
How computers get smarter by looking at lots of examples (data) and finding patterns, without being told exactly what to do.
Multimodal AI
An AI that can understand many different types of information at once, like looking at a photo while listening to music and reading a story.
N
Natural Language Processing (NLP)
How AI learns to understand, talk, and write in human languages like English or Hindi.
Neural Network
A computer system that works a bit like the human brain, using 'layers' of connections to understand complex information.
O
Open Source
When the 'recipe' for an AI is shared with everyone in the world so that anyone can see how it works and help make it better.
Overfitting
When an AI tries too hard to memorize specific examples instead of learning the general rules, like memorizing a test instead of learning the subject.
P
Pattern Recognition
The ability of AI to find similarities or 'repeating shapes' in data, like spotting a cat in a million different photos.
Prompt
The specific instruction or question you give to an AI to help it understand what you want it to create or do.
Q
Quantum Computing
A super-fast type of computer that uses the tiny rules of atoms to solve problems that are too hard for normal computers.
R
Recommendation Engine
The AI that learns what you like and suggests things you might enjoy next, like movies on Netflix or videos on YouTube.
Reinforcement Learning
A way of training AI where it learns by trial and error, getting a 'reward' (like points) when it does something correctly.
Robot
A physical machine that can perform tasks automatically. AI is often the 'brain' inside a robot's body.
S
Self-Driving Car
A vehicle that uses AI, sensors, and cameras to drive itself safely without needing a human to hold the steering wheel.
Singularity
A theoretical moment in the future when AI might become so smart that it can improve itself faster than humans can understand.
Speech Synthesis
How AI turns written words into a voice that sounds just like a real person talking to you.
Supervised Learning
When an AI learns with a teacher who already knows the answers and helps the computer learn correctly.
Synthetic Data
Fake information created by one AI to help another AI learn when there isn't enough real-world information to use.
T
Token
A small 'chunk' of information (like a single word or part of a word) that an AI uses to read and understand text.
Turing Test
A famous test to see if a computer can think so much like a human that you can't tell the difference between the two.
U
Unsupervised Learning
When an AI learns by exploring and finding groups on its own, without a teacher telling it the answers.
V
Virtual Reality (VR)
A computer-generated 3D world that you can explore using a special headset, making you feel like you're actually there.
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