INTRODUCTION TO UNDERSTANDING AI- THE FOUNDATION

Understanding AI Foundations Day 1 – Introduction to Artificial Intelligence What is Artificial Intelligence (AI)? Artificial Intelligence (AI) is the ability of machines, computers, or software systems to perform tasks that normally require human intelligence. These tasks include: Learning from data Reasoning and problem solving Understanding language Recognizing images or patterns Making decisions In simple terms: Artificial Intelligence is when computers are designed to think, learn, and make decisions in ways similar to humans. Simple Definition Artificial Intelligence (AI) is a branch of computer science that focuses on creating systems that can simulate human intelligence and perform intelligent tasks. Examples of AI in Everyday Life Many people use AI daily without realizing it: Voice assistants (Siri, Alexa, Google Assistant) Facial recognition on smartphones Chatbots and virtual assistants Navigation systems like Google Maps Recommendation systems on YouTube or Netflix Fraud detection in banking Key Capabilities of AI AI systems are designed to perform several intelligent functions: Learning – acquiring knowledge from data (machine learning). Reasoning – solving problems logically. Perception – interpreting images, sound, or language. Decision-making – choosing the best action based on information. Main Types of AI There are three broad levels of AI: 1. Narrow AI (Weak AI) Designed for specific tasks Examples: voice assistants, recommendation systems 2. General AI (Strong AI) Would perform any intellectual task like a human Still mostly theoretical 3. Super AI Intelligence beyond human capabilities A concept discussed for the future Why AI is Important Today AI is transforming many areas of life: Healthcare – disease detection and drug discovery Education – smart learning systems Agriculture – AI-powered farming Security – fraud detection and cyber defense Business – automation and decision support Summary Artificial Intelligence is the science and technology of creating machines that can learn, think, and make decisions like humans, helping to solve complex problems and improve efficiency in many areas of life. FURTHER READINGS - History of Artificial Intelligence - Types of AI (Machine Learning, Deep Learning, NLP) - AI in Society and the Church -Opportunities and Risks of AI