Artificial Intelligence 101: Fundamentals and Challenges

Think about the last time you used Google Maps, spoke to Siri, or got a movie recommendation from Netflix, you were already interacting with Artificial Intelligence (AI). In this lecture, we’ll strip away the jargon and explore what AI really is, how it quietly powers so many parts of our daily lives, and why it sparks both excitement and concern. This session is your first step into understanding a technology that’s reshaping our world.

What you’ll learn in this lecture:

• The basics of AI explained in plain, simple language

• The two main types of AI: Narrow AI vs General AI

• Everyday examples of AI in healthcare, finance, and entertainment

• Real-world applications like self-driving cars and smart assistants

• Key challenges, including privacy, bias, and job impacts

• How AI might evolve and influence the future of work and society

Have you ever chatted with a customer support bot, asked Alexa to play a song, or let Google finish your sentence? Chances are, you’ve already met a Large Language Model (LLM) without even knowing it. In this lecture, we’ll lift the curtain on these fascinating AI systems, showing you how they work, where you see them every day, and why they’re changing the way we talk to technology.

What you’ll learn in this lecture:

• What “large language model” really means in simple terms

• How these models learn from huge amounts of text like books and social media

• Everyday examples: chatbots, voice assistants, and translation tools

• How LLMs can write, answer questions, and even hold conversations

• The exciting benefits of LLMs in fields like healthcare, business, and education

• The challenges: misinformation, bias, and the need for responsible use

Ever wondered how Netflix seems to “know” what you’ll want to watch next, or how self-driving cars can navigate busy streets? The answer is machine learning; a branch of AI that helps computers learn patterns and make decisions without being told exactly what to do. In this lecture, we’ll break down the mystery of machine learning into simple, easy-to-follow ideas and show you how it’s already shaping your daily life.

What you’ll learn in this lecture:

• What machine learning is, explained in plain and simple terms

• How machines learn from data to recognise patterns and make decisions

• Real-world examples: Netflix recommendations, Siri, and self-driving cars

• The three main types of machine learning: supervised, unsupervised, and reinforcement learning

• Why machine learning matters in industries like healthcare, transport, and finance

• How this powerful technology is shaping the future of AI and everyday life

Artificial Intelligence (AI) is no longer just the subject of science fiction; it’s part of our everyday lives and shaping the world around us. From virtual assistants on our phones to self-driving cars, wearable health tech, and even medical breakthroughs like robotic prosthetics, AI is unlocking possibilities we never thought possible. In this lecture, we’ll explore how AI is transforming different industries, the ethical questions it raises, and what the future may hold as humans and AI learn to coexist.

What you’ll discover in this lecture:

• Everyday uses of AI: Siri, Alexa, and smart devices

• How AI powers Virtual Reality (VR) and wearable health technology

• Self-driving cars and their role in the future of transport

• Breaking language barriers with AI-powered translation

• Life-changing innovations in healthcare, like robotic prosthetics and brain-computer interfaces

• The balance between AI-driven progress and ethical responsibility

• Key concerns: jobs, privacy, and AI surpassing human intelligence

• The exciting promise of AI in building a better tomorrow

Artificial Intelligence (AI) is shaping the way we live, work, and connect, but with this progress comes a pressing question: what happens to our privacy? As AI systems collect, analyse, and store vast amounts of data, protecting personal information has become one of the most important challenges of our time.

This lecture takes you through the key privacy concerns in AI and shows how developers, businesses, and individuals can navigate them responsibly. You’ll gain practical insights into the methods used to safeguard data while still harnessing the power of AI.

By the end of this lecture, you’ll understand:

• Why AI relies on personal data and the risks this creates

• How anonymisation and data minimisation protect user identities

• The role of encryption and access controls in keeping data safe

• How transparency builds user trust in AI applications

• Why an ethical approach is essential to responsible AI development

Whether you’re a beginner curious about AI or a professional exploring its ethical side, this lecture gives you a clear and engaging introduction to one of the most urgent challenges in the digital age.