What you will learn
- What people mean when they say "AI"
- The kinds of AI you already meet every day
- Where AI is already showing up in Guyana
- Why AI can be wrong, and what to do about it
Start with something you know
Think about a vendor at Stabroek Market who has been selling greens for twenty years. Nobody gave her a rule book. She has seen so many mornings that she can look at the sky, the day of the week and the crowd, and guess how much bora and pak choi she will sell. She learned from patterns.
That is the simplest way to understand artificial intelligence. AI is computer software that learns patterns from a lot of examples, then uses those patterns to make a guess, a prediction or a piece of new content. The vendor learned from years of mornings. An AI system learns from millions of examples: words, pictures, numbers or sounds.
The important word is guess. A very good guess is still a guess.
Three kinds of AI you will hear about
1. Everyday AI (prediction and recognition). This is the AI hiding inside things you already use. Your phone camera finds faces. Your email puts spam in a separate folder. A map app guesses how long the drive from Georgetown to Parika will take. These systems look at data and give one answer: "this is spam", "this is a face", "45 minutes".
2. Generative AI (it makes new content). This is the kind that became famous with chatbots. You type a question or an instruction, called a prompt, and it writes a reply, a letter, a poem, a menu, or even makes a picture. It does this by predicting, word by word, what a good answer usually looks like. It does not "know" things the way a person does. It is very good at sounding right, which is exactly why you must check it.
3. Automation (rules, not learning). Not everything a computer does by itself is AI. If your POS system prints a receipt every time a sale is made, that is a fixed rule. Automation follows instructions. AI learns patterns. Many modern systems mix the two.
Where AI is already showing up in Guyana
You do not have to go abroad to see AI at work. Here are some examples from public sources:
- Hospitals. In May 2026 the Minister of Health said AI software was being used at five public hospitals to help read X-rays, flagging whether an image looks normal or abnormal, with radiologists still reviewing the scans (DPI, 12 May 2026).
- Rice fields. The Guyana Rice Development Board, with the FAO and China, trained drone pilots and data analysts and used drone pictures and mapping to advise rice farmers (Ministry of Agriculture, 6 Aug 2024). Drones and maps are not AI by themselves, but they produce the kind of data that AI tools learn from.
- Offshore oil. In March 2026 Halliburton and ExxonMobil announced a fully automated system that steered a well offshore Guyana using real-time data and computer control (Halliburton press release, 16 Mar 2026).
- Government services. The government has announced "AskGov", an AI chatbot meant to answer questions about government services. In February 2026 the Minister of Public Service said it was still being developed (DPI, 4 Feb 2026).
What AI is good at
- Drafting: first versions of letters, notices, social posts, lesson plans.
- Summarising: turning a long document into the main points.
- Explaining: putting a hard idea into simpler words.
- Spotting patterns in lots of data: which items sell on a Friday, which part of a field looks sick.
- Translating and rewording.
What AI is bad at
- It can make things up. A chatbot can give you a law section, a price or a phone number that does not exist, and say it with full confidence. People call this a "hallucination". Always check facts against an official source.
- It may not know Guyana well. Most AI tools learned mostly from foreign text. Ask about NIS contributions or GRA rules and it may give you the rules of another country.
- It can be out of date. Many tools were trained some time ago and may not know about recent changes.
- It copies the bias in its examples. If the examples it learned from were unfair, its answers can be unfair too.
- It does not care about you. It has no judgement, no conscience and no responsibility. You do.
A simple rule to remember
Use AI like a bright new helper on their first day: fast and useful, but you check the work before it leaves the shop.
Try it yourself
- Open any free AI chatbot (see the GuyanaHub free tools list).
- Type: "Explain what a minibus route is to someone who has never been to Guyana, in three sentences."
- Read the answer. What did it get right? What did it get wrong or leave out?
- Now ask it: "What is the current NIS contribution rate in Guyana?" Then check the answer on the official NIS website. Did it match?
That second test teaches the most important lesson in this whole course: AI answers are a starting point, not the final word.
Key words
- Artificial intelligence (AI): software that learns patterns from examples and uses them to make predictions or new content.
- Prompt: the question or instruction you give an AI tool.
- Generative AI: AI that creates new text, images, audio or video.
- Hallucination: when AI gives a false answer as if it were true.