Chapter 2 - AI

What is the origin and evolution of artificial intelligence?

AI has evolved from early computing concepts to sophisticated systems capable of machine learning and neural networks.

What applications and systems leverage AI?

Applications include recommendations on platforms like TikTok, Amazon, and Spotify, utilizing AI for tailored user experiences.

What considerations do we need to make regarding privacy, security, and ethics when using AI?

Consider data privacy, data security including false positives, and ethical use by being transparent about AI utilization.

Artificial intelligence (AI)

The simulation of human intelligence processes by machines, especially computer systems.

Narrow AI

AI systems designed to perform a specific task.

General AI

AI that can perform a wide variety of tasks, similar to human capabilities.

Machine Learning (ML)

A subset of AI where machines are fed data to identify patterns and make predictions.

Neural Network

A machine learning model inspired by the structure of the human brain.

Deep Learning

An advanced type of neural network with many layers for sophisticated pattern recognition.

Large Language Models (LLM)

AI models designed to understand and generate human language.

False positives (AI hallucinations)

Instances where AI generates incorrect responses or outputs.

Data privacy

The protection of personal information and careful management of data storage.

Data Security

Measures taken to protect data from unauthorized access and ensure its confidentiality.

Ethical use

The principle of being transparent about how AI technology is utilized in various applications.