Essential Artificial Intelligence Terms and Definitions

Core Artificial Intelligence Concepts

Black Box Models

Black Box Models are systems where the inputs and outputs are known, but the internal process is not transparent. Example: Facial recognition software within a machine learning system.

Deepfakes

Deepfakes refer to AI-generated media, such as fake celebrity videos, created to appear authentic.

Generative AI

Generative AI is technology that changes or generates realistic images, videos, and text. Example: Chatbots.

Large Language Models (LLMs)

Large Language Models are AI systems trained on vast amounts of text to understand and generate human-like language. Example: Grammarly.

Automation and Interaction

Workforce Automation

Workforce Automation involves AI, robots, or software taking over repetitive or rule-based tasks. Example: Walmart automates shelf scanning with robots to restock inventory faster.

Virtual Influencers

A Virtual Influencer is a computer-generated character used for social media and marketing.

Chatbots and Virtual Assistants

A Chatbot is a digital assistant or informatics program that performs tasks, navigation, or reminders. A Virtual Assistant is a computer program that mimics human conversation and can respond to user prompts.

User Experience and Personalization

Recommendation Systems

A Recommendation System is technology that adapts content or interfaces based on user preferences.

Predictive Text

Predictive Text is software that predicts text as you write, often correcting or completing it.

Nudging Technology

Nudging Technology is a tool that offers choices or suggestions that subtly guide user behavior.

Personalization

Personalization filters and presents information based on your behavior, likes, or history.

Security and Surveillance

Predictive Policing

Predictive Policing involves using data, algorithms, and AI to forecast where crimes are likely to happen. Example: The Strategic Subject List (SSL) used by the Chicago Police Department.

Facial Recognition

Facial Recognition is biometric technology that identifies individuals through facial features.

Ethics and Information Integrity

Algorithms and Bias

An Algorithm consists of rules used by software to make decisions automatically. Algorithmic Bias refers to unfair or harmful outcomes resulting from the data of an AI system.

Natural Language Processing (NLP)

Natural Language Processing (NLP) converts spoken or written language into machine-readable form.

Systematic Discrimination

Systematic Discrimination involves patterns of behavior, policies, or practices that are part of the structures of an organization or society and create or perpetuate disadvantages for certain groups.

Data Privacy

Data Privacy is the right to control how personal information is collected, stored, and used.

Information Integrity

Misinformation is false or misleading content generated or spread by an AI system without the intent to deceive.

1. Malinformation: People spreading information with the intent to cause harm.
2. Misinformation: Unintentionally published or misleading information.
3. Disinformation: Fabricated or manipulated information intended to deceive.