For most people, the mention of AI immediately brings ChatGPT to mind, a tool that can answer your questions, write your papers, and guide you throughout your day. But AI is everywhere, often working silently behind the scenes in tools you use daily. Over half of Americans have used AI, and the number is likely much higher because many using AI don’t even realize it. Whether you’re new to AI or a seasoned user, it’s helpful to understand its history and some key terminology. Let’s take a look at some AI basics and how it all began.
What Is Artificial Intelligence?
AI refers to machines or software that simulate human intelligence. This includes learning, reasoning, decision-making, and problem-solving. If a machine can perform tasks that typically require human thought, it’s AI.
Today, Narrow AI is fully real and widely used. Examples include chatbots, voice assistants, image recognition, and recommendation systems. These AI tools excel at specific tasks but cannot generalize beyond what they’re programmed to do.
General AI (AGI), which is AI with human-level general intelligence, does not currently exist. It remains a goal researchers are working toward but is still theoretical. No current AI can think, understand, or learn across all domains like a human can.
When Did AI Begin?
The term “artificial intelligence” was coined in 1956 by John McCarthy at Dartmouth College. He envisioned computers that could mimic human thought. But the idea of intelligent machines began even earlier. In 1950, Alan Turing proposed the Turing Test, a method to evaluate whether a machine can think like a human. McCarthy and Turing laid the foundation for today’s AI systems.
A Timeline of AI History
Here’s a brief overview of AI’s evolution from the AI basics of the 1950s to the fast-paced almost daily advancements of today:
| Decade | Key Milestones |
| 1950s | Term “AI” is coined; Turing Test proposed; Lisp programming language created. |
| 1960s | ELIZA chatbot created; General Motors introduces the first industrial robot. |
| 1970s | Japan builds the first robot with human-like features. |
| 1980s | Mercedes tests a driverless car; Jabberwacky chatbot debuts. |
| 1990s | IBM’s Deep Blue beats chess champion; Google indexes 26 million pages. |
| 2000s | Google hits 1 billion pages indexed; robots like ASIMO and Kismet are introduced. |
| 2010s | IBM Watson wins Jeopardy!; global internet users exceed 4 billion. |
| 2020s | Generative AI explodes; tools like ChatGPT, DALL·E, and Claude reshape industries. |
10 Must-Know AI Terms
There are many terms related to AI and understanding some of the AI basics helps you stay ahead. Here are 10 foundational terms:
1. Artificial Intelligence (AI)
The broad field of creating systems that mimic human thought and behavior.
2. Machine Learning (ML)
A subset of AI that learns from data and improves over time without manual programming.
3. Neural Network
Algorithms inspired by the human brain. They detect patterns and power image and speech recognition.
4. Deep Learning
A type of machine learning using multi-layered neural networks to process large datasets.
5. Natural Language Processing (NLP)
Technology that helps machines understand and generate human language.
6. Large Language Model (LLM)
AI models trained on massive text datasets to generate realistic, human-like text (e.g., ChatGPT).
7. Prompt Engineering
The practice of crafting effective instructions to get desired results from an AI model.
8. Generative AI
AI that creates new content, text, images, video, and more, rather than just analyzing data.
9. Computer Vision
AI that enables machines to interpret and respond to visual inputs like photos or videos.
10. Training Data
The data used to teach an AI system. Better data leads to better performance.
Why AI Feels Like the Internet Boom Only Faster
Many remember when you first heard about the internet in the late ’90s. The dial up sound and the “You’ve got mail” slogan became a cultural symbol of the early days of widespread internet access and email communication. While AI doesn’t have a unique sound or slogan yet, it is advancing even faster than the internet boom. Everyone, from individuals to Fortune 500 companies, is racing to learn, adopt, and innovate with AI.
As AI becomes part of daily life, the AI basics grow more complex and staying current gets harder. In 2025, new, more powerful models are launching every few months with massive leaps in capability. Major players like OpenAI, Anthropic, Meta, and Google are driving the pace, while startups race to create the next big AI tool. AI is already part of your email, apps, phone, car, and online shopping experience. Continue your AI journey by learning the basics and experimenting with new AI tools today.