Chapter 06 — Key Terms and Definitions#

Artificial Intelligence (AI) — Computer systems capable of performing tasks that require human-like intelligence, such as learning and decision-making.

Machine Learning (ML) — A subset of AI where algorithms learn patterns from data to improve over time.

Deep Learning — An advanced form of ML using layered neural networks for tasks like image recognition and natural language processing.

Generative AI — AI that produces new content (text, images, code) based on patterns learned from data.

Natural Language Processing (NLP) — AI technology that interprets and generates human language, enabling chatbots, translation, and sentiment analysis.

Computer Vision — AI that enables machines to interpret and analyze visual data such as images and video.

Chatbots — AI conversational agents used for customer service and support.

Predictive Analytics — Using AI/ML to forecast trends and outcomes from historical data.

AI Governance — Policies and frameworks guiding responsible AI adoption within organizations.

Human-in-the-Loop — AI system design that incorporates human judgment and oversight at critical decision points.