AI Glossary Documentation

A comprehensive guide to artificial intelligence terminology, concepts, and applications. Learn about AI fundamentals, data considerations, practical use cases, and responsible AI practices.

Overview

This documentation serves as a resource for understanding artificial intelligence, particularly for clinicians and mental health professionals. It covers core AI concepts, practical applications, data management, and the ethical considerations crucial for responsible AI implementation.

The content is organized into four main categories, reflecting the structure of the AI glossary:

Main Categories

  • AI Fundamentals: Explore core concepts and principles that underpin artificial intelligence.
  • Data for AI: Understand the essential processes of data handling, preparation, and management in AI systems.
  • Applications of AI: Discover real-world implementations and use cases of AI technologies across diverse fields.
  • Responsible AI: Delve into ethical, societal, and responsible considerations for the development and use of AI.

Each section provides an overview of the category, followed by an examination of key concepts. Definitions, explanations, and contextual information are provided to facilitate understanding of each topic. To begin exploration, select a category from the list above or from the navigation menu to the left.

Familiarization with these terms and concepts will better equip readers to understand the evolving landscape of artificial intelligence and its impact on healthcare and mental health practices.