AI & Technology Glossary - Don't Panic Consulting

Anthropomorphism is the attribution of human traits, emotions, or intentions to non-human entities, like animals or machines.

Artificial General Intelligence (AGI) refers to a type of artificial intelligence that can understand, learn, and apply knowledge across a wide range of tasks at a level comparable to human intelligence.

Artificial Intelligence (AI) is the ability of a computer or machine to mimic human-like thinking and decision-making processes, allowing it to perform tasks such as learning, problem-solving, and understanding language.

An artificial neural network is a computer system designed to mimic how the human brain processes information, using interconnected nodes (like neurons) to recognize patterns and make decisions.

Augmented intelligence refers to technology designed to enhance human decision-making and problem-solving abilities, rather than replacing human intelligence.

Chain-of-thought prompting is a technique in artificial intelligence where a model is guided to generate responses by breaking down complex problems into a series of simpler, logical steps, similar to how a person might think through a problem step-by-step.

A chatbot is a computer program designed to simulate conversation with human users, typically over the internet, to provide information or perform tasks.

Conversational AI refers to technology that enables computers to understand, process, and respond to human language in a natural way, often through chatbots or virtual assistants, allowing for interactive communication with users.

Customer Relationship Management (CRM) with Generative AI refers to using AI technologies that can create content or responses to enhance how businesses manage and interact with their customers. It involves automating and personalizing customer interactions, predicting customer needs, and improving customer service by generating tailored communications and insights.

Deep Learning is a type of artificial intelligence that uses complex algorithms and large amounts of data to mimic how the human brain learns, allowing computers to recognize patterns and make decisions.

In the context of artificial intelligence, a discriminator is a component of a generative adversarial network (GAN) that evaluates and distinguishes between real and generated data, helping the system improve the quality of generated outputs.

Emergent behavior refers to complex outcomes or patterns that arise from simple interactions among components of a system, which are not predictable from the individual parts alone.

An Ethical AI maturity model is a framework that helps organizations assess and improve their practices in developing and deploying artificial intelligence systems responsibly, ensuring they align with ethical standards and societal values.

Explainable AI refers to artificial intelligence systems designed to make their decision-making processes understandable to humans, allowing users to see how and why decisions are made.

A Generative Adversarial Network (GAN) is a type of artificial intelligence system where two neural networks compete against each other. One network creates new data (like images), while the other tries to determine if the data is real or fake. This process helps the system improve and generate realistic data over time.

Generative AI is a type of artificial intelligence that can create new content, such as text, images, or music, by learning patterns from existing data.

A Generative Pre-trained Transformer (GPT) is a type of artificial intelligence model that can generate human-like text. It is trained on large amounts of text data to understand language patterns and can be used for tasks like writing, translating, and summarizing text.

A generator is a tool or device that produces something, such as electricity, or in computing, it refers to a function that can produce a sequence of values over time, often used to handle large data sets efficiently.

Grounding in technology refers to the process of connecting a system or device to the earth to ensure safety by preventing electrical shock or damage from static electricity. In a broader context, it can also mean providing a solid foundation or context for understanding or interpreting information.

In technology, particularly in artificial intelligence, "hallucination" refers to when an AI system generates information or outputs that are incorrect, nonsensical, or not based on real data.

Human in the Loop refers to a system or process where human input, oversight, or intervention is required to assist or guide automated systems, often to improve decision-making, accuracy, or safety.

A Large Language Model is a type of artificial intelligence that can understand and generate human-like text by analyzing vast amounts of written data.

Machine learning is a type of artificial intelligence that allows computers to learn and make decisions from data without being explicitly programmed.

Machine learning bias refers to errors in a computer system that occur when the data used to train the system reflects human biases or prejudices, leading to unfair or inaccurate outcomes.

A model is a simplified representation or simulation of a real-world process or system, often used in technology and science to predict outcomes or understand complex phenomena.

Natural Language Processing (NLP) is a technology that allows computers to understand, interpret, and respond to human language in a way that is both meaningful and useful.

Parameters are variables in a system or model that can be adjusted to affect its behavior or output.

Prompt defense refers to strategies and techniques used to protect AI systems from being manipulated or exploited through malicious or misleading input prompts.

Prompt engineering is the process of designing and refining the input given to an AI model to achieve the desired output or response.

Red Teaming is a practice where a group simulates an attack on an organization's systems to identify vulnerabilities and improve security defenses.

Reinforcement learning is a type of artificial intelligence where a computer learns to make decisions by trying different actions and receiving feedback in the form of rewards or penalties, similar to how humans learn from experience.

Retrieval Augmented Generation (RAG) is a method in artificial intelligence where a system retrieves relevant information from a database or external source to enhance its ability to generate more accurate and contextually relevant responses or content.

Safety refers to the condition of being protected from harm or danger. In technology, it involves measures and practices to ensure that systems operate without causing unintended damage or risk to people, data, or the environment.

Sentiment analysis is a technology that uses computers to determine whether a piece of text expresses a positive, negative, or neutral emotion.

Supervised learning is a type of machine learning where a computer is trained using labeled data, meaning the input data is paired with the correct output. The goal is for the computer to learn the relationship between inputs and outputs so it can predict the output for new, unseen data.

Toxicity in technology refers to harmful or negative behavior, language, or content, often found in online communities or platforms, that can create a hostile or unpleasant environment for users.

A transformer is a type of artificial intelligence model used in natural language processing that can understand and generate human language by focusing on the relationships between words in a sentence.

Transparency refers to the practice of being open and clear about how technology works, including its processes, decisions, and data usage, so that users can understand and trust it.

Unsupervised learning is a type of machine learning where a computer is given data without any labels or instructions and must find patterns or groupings on its own.

Validation is the process of checking if something meets certain criteria or standards, ensuring it works correctly and as intended.

Zero data retention refers to a policy or practice where no user data is stored or kept after it is no longer needed for its immediate purpose, ensuring maximum privacy and security.

The Zone of Proximal Development (ZPD) is the range of tasks that a person can perform with guidance and support but cannot yet perform independently.