What Is AI?

Definitions: AI vs Gen AI

AI refers to computer systems that mimic human intelligence to perform tasks like recognizing patterns, generating content, and making decisions, with Gen AI specifically focused on creating new text, images, and data-based outputs.

Inner Workings of AI

AI models process large datasets using machine learning algorithms to identify patterns, make predictions, and generate responses based on probability rather than true understanding.

Data Use in AI

AI models depend on vast amounts of training data, meaning the accuracy, bias, and ethical considerations of that data directly influence AI outputs and decision-making, while privacy concerns arise when AI collects, stores, or uses personal information without transparency or user control.

What It Is NOT

AI is not human-like intelligence; it lacks self-awareness, emotions, creativity, and independent reasoning, operating solely within the limits of its training data and algorithms.

Limitations of Gen AI

AI struggles with solving complex math problems accurately, cannot access content behind paywalls or restricted sites, and often generates information without proper citations, requiring users to fact-check sources.