Adaptable AI
- Definition
- Adaptable AI is an AI system that adjusts its behavior, strategy, or underlying models in response to changing conditions without being reprogrammed, using feedback from its own results. It depends on monitoring,…
Showing 20 of 65 terms
Affective AI (Emotion AI)
- Definition
- Affective AI, also called emotion AI, is technology that infers a person's emotional state from signals such as voice tone, facial expression, and word choice. Its use carries privacy and consent obligations.
Agentic AI
- Definition
- Agentic AI is AI that pursues a goal by planning steps, calling tools, observing results, and adjusting until the task is done, with limited human input. It extends generative AI from answering…
AI Agents
- Definition
- AI agents are software systems that pursue a goal by planning steps, calling tools, observing results, and adjusting until the task is done or a human steps in. Unlike a chatbot, an…
AI Alignment
- Definition
- AI alignment is the effort to make an AI system's goals and behavior match what its operators and users actually intend, including their values and constraints, rather than a literal or convenient…
AI Component of a System
- Definition
- In SOC 1 and SOC 2 reporting, the AI component of a system is the part of a service organization's system that uses AI, including its models, data, configuration, and the controls…
AI Literacy
- Definition
- AI literacy is the knowledge and judgment people need to use AI systems well in their role. The EU AI Act requires providers and deployers to take measures that support it among…
AI Model
- Definition
- An AI model is a mathematical function, learned from data, that turns inputs into predictions, classifications, or generated content. Its learned parameters are the stored result of training and the part that…
AI Safety
- Definition
- AI safety is the practice of preventing AI systems from causing harm, whether through errors, misuse, unintended behavior, or loss of human control, using testing, constraints, monitoring, and oversight throughout the system's…
AI System
- Definition
- An AI system is a deployed product made of one or more AI models plus the interface, data pipelines, integrations, and controls around them. Regulation such as the EU AI Act applies…
Algorithm
- Definition
- An algorithm is a precise, finite sequence of steps that turns an input into an output. In AI, algorithms both train models from data and use trained models to make predictions or…
Artificial General Intelligence (AGI)
- Definition
- Artificial general intelligence (AGI) is a hypothetical AI that could learn and perform any intellectual task a person can, across domains, without being built for each one. No deployed system meets that…
Artificial Intelligence (AI)
- Definition
- Artificial intelligence (AI) is software that performs tasks which normally require human judgment, such as recognizing patterns, understanding language, and choosing actions. In business it ranges from fraud scoring to agents working…
Auditable AI
- Definition
- Auditable AI is an AI system built so that an independent reviewer can reconstruct what it did, why, with which data and model version, and who approved the result. It rests on…
Augmented Reality (AR)
- Definition
- Augmented reality (AR) overlays digital information, such as labels, instructions, or 3D models, on a live view of the physical world through a phone, tablet, smart glasses, or headset.
Automated Decision-Making
- Definition
- Automated decision-making is the use of software to reach decisions about people without meaningful human involvement. GDPR Article 22 restricts such decisions when they have legal or similarly significant effects on a…
Automation Bias
- Definition
- Automation bias is the human tendency to accept an automated system's output without checking it, even when the output is wrong and the person has the evidence to catch it.
Autotelic AI
- Definition
- Autotelic AI is a research approach in which agents generate, choose, and pursue their own goals, driven by curiosity or learning progress instead of by tasks a person assigns.
Bias (AI)
- Definition
- Bias in AI is a systematic error in a model's outputs. It can be statistical, a consistent gap between predictions and reality, or social, a pattern that treats groups of people unequally.
Biohybrid Intelligence
- Definition
- Biohybrid intelligence combines living biological material, such as cultured neurons or brain organoids, with electronics and AI software to process information. It remains an early research field.
Black Box Model
- Definition
- A black box model is a model whose inputs and outputs are visible but whose internal reasoning a person cannot follow, because of its complexity or because its vendor keeps the details…
Cognitive Bias
- Definition
- A cognitive bias is a predictable pattern in human judgment that departs from logic or evidence. In AI work, these biases enter training data through human decisions and shape how people use…
Collaborative AI
- Definition
- Collaborative AI is an approach in which AI systems work alongside people or other AI systems on a shared task, each handling the steps it does best and passing work back and…
Computer Vision
- Definition
- Computer vision is the field of AI that lets software extract meaning from images and video, such as identifying objects, reading text, or measuring parts. It drives inspection, document capture, and safety…
Continual Learning
- Definition
- Continual learning is the ability of a model to keep learning from new data over time while retaining what it already knows, instead of being retrained from scratch or frozen after one…
Data-Driven AI
- Definition
- Data-driven AI learns its behavior from patterns in historical data rather than from rules written by experts. Machine learning and deep learning are data-driven; its counterpart is knowledge-driven AI built on explicit…
Decision Intelligence
- Definition
- Decision intelligence is a discipline that designs business decisions explicitly, linking the available actions to expected outcomes through data, models, and rules, then tracking results to improve the next decision.
Decision Support System
- Definition
- A decision support system (DSS) is software that helps people make decisions by gathering relevant data, applying models or rules, and presenting options or recommendations, while a person keeps the final choice.
Deterministic Algorithm
- Definition
- A deterministic algorithm is a procedure that always produces the same output from the same input by following the same steps. Tax calculations, pricing rules, and most traditional business software work this…
Enterprise AI
- Definition
- Enterprise AI is the use of artificial intelligence inside a company's core operations, connected to its systems of record and run under the same security, governance, and support as other business software.
Ethical AI
- Definition
- Ethical AI is the practice of designing, deploying, and operating AI systems so that they respect people's rights, treat them fairly, and remain under meaningful human accountability. It turns stated values into…
Expert Systems
- Definition
- An expert system is software that captures a specialist's knowledge as explicit rules and facts and applies them with an inference engine to solve problems or recommend decisions in a narrow domain.
Explainable AI (XAI)
- Definition
- Explainable AI (XAI) is the set of methods that make an AI model's outputs understandable to people, by showing which inputs drove a result and how the result would change if they…
Fairness (AI)
- Definition
- Fairness in AI is the property that a model's predictions or decisions do not systematically disadvantage people because of characteristics such as race, sex, age, or disability. It is measured with specific,…
Human Oversight
- Definition
- Human oversight is the set of design features and assigned people that let an organization monitor an AI system, interpret its output, and override or stop it. The EU AI Act requires…
Human-in-the-Loop
- Definition
- Human-in-the-loop is a design in which a person reviews, corrects, or approves an AI system's output before it takes effect, so that a human decision stands between the model and the outcome.
Hybrid AI
- Definition
- Hybrid AI combines symbolic methods such as rules, ontologies, and constraint solvers with statistical or neural methods such as machine learning and language models, so each handles the part of a problem…
Interpretability
- Definition
- Interpretability is the degree to which a person can understand how a model turns inputs into outputs by examining the model itself, such as its rules, weights, or structure.
Knowledge Graph
- Definition
- A knowledge graph is a database that stores facts as entities connected by named relationships, such as a supplier that provides a part used in a product, so systems can query and…
Knowledge Representation
- Definition
- Knowledge representation is the branch of AI concerned with how facts, concepts, relationships, and rules are encoded so that a program can store them, reason over them, and explain its conclusions.
Knowledge-Driven AI
- Definition
- Knowledge-driven AI reasons from knowledge that people have written down explicitly, such as rules, ontologies, and knowledge graphs, rather than from statistical patterns learned from data. It is transparent and precise but…
Large Models
- Definition
- Large models are AI models with billions or trillions of parameters trained on very large datasets, a category that includes language, vision, and multimodal models. Size brings broader capability and higher running…
Machine Learning (ML)
- Definition
- Machine learning is the branch of artificial intelligence in which software learns patterns from data and improves at a task through experience instead of following rules written by a programmer.
Modality
- Definition
- A modality is a type of data that an AI model can take in or produce, such as text, images, audio, video, or sensor readings. Models are often described by the modalities…
Multimodal AI
- Definition
- Multimodal AI is AI that can take in, reason over, or produce more than one type of data, such as text, images, audio, and video, within a single model or system.
Narrow AI (Weak AI)
- Definition
- Narrow AI, also called weak AI, is an AI system built to perform one task or a closely related set of tasks, such as scoring credit risk or reading invoices. Every AI…
Natural Language Processing (NLP)
- Definition
- Natural language processing (NLP) is the branch of AI that lets software read, interpret, and produce human language. It turns contracts, emails, call transcripts, and tickets into data a business can search,…
Neuro-Symbolic AI
- Definition
- Neuro-symbolic AI integrates neural networks, which learn from data, with symbolic reasoning over explicit rules and knowledge, so that one system can both perceive messy inputs and reason with guaranteed logic.
Ontology
- Definition
- An ontology is a formal, machine-readable definition of the concepts in a domain, their properties, and the relationships between them, giving people and systems one shared vocabulary for the same things.
Optimization
- Definition
- Optimization is the mathematical method of choosing values for decision variables that maximize or minimize an objective while satisfying constraints. Linear and integer programming are its main business forms, from truck loading…
Physical AI
- Definition
- Physical AI is AI that perceives and acts in the physical world through machines such as robots, smart cameras, drones, and autonomous vehicles, so its errors have physical consequences.
Planning (AI)
- Definition
- Planning in AI is the process by which a system chooses and sequences actions to reach a goal from a known starting state, considering the effects of each action. It is a…
Predictive AI
- Definition
- Predictive AI uses historical data to forecast what will happen or to classify what something is, producing a number, a category, or a probability rather than new content. It is the counterpart…
Probabilistic Algorithm
- Definition
- A probabilistic algorithm uses random choices or probability estimates in its steps, so the same input can produce different outputs, or an output expressed as a likelihood rather than a certainty.
Reflective AI
- Definition
- Reflective AI is an AI system or agent that checks its own outputs or actions against a goal, finds errors, and revises its work, either before answering or on its next attempt.
Responsible AI
- Definition
- Responsible AI is the practice of developing and operating AI systems so that they are fair, transparent, accountable, safe, and respectful of privacy, backed by concrete policies, controls, and review processes rather…
Robotics
- Definition
- Robotics is the engineering of machines that sense their surroundings, decide what to do, and act physically, with AI supplying perception, planning, and control for tasks from warehouse picking to assembly.
Scalable AI
- Definition
- Scalable AI is an AI deployment designed to keep performing as users, data volume, and use cases grow, through capacity planning, load testing, and architecture that adds compute without redesign.
Scheduling (AI)
- Definition
- Scheduling in AI is the assignment of tasks to resources and time slots under constraints such as capacity, deadlines, and sequence rules, using search and optimization methods to find feasible, high-quality schedules…
Semantic Skills
- Definition
- Semantic skills are the capabilities that let an AI system work out what language means, including word sense, context, and intent, so it can act on requests however they are phrased.
Sub-Symbolic (Connectionist) AI
- Definition
- Sub-symbolic AI, also called connectionist AI, stores what it knows as numeric weights across many simple units, as in neural networks, rather than as readable rules. Deep learning and large language models…
Symbolic AI
- Definition
- Symbolic AI represents knowledge as explicit symbols, rules, and logical relationships that a program manipulates to reason and reach conclusions. It dominated early AI and survives in rules engines, planners, and knowledge…
Trustworthy AI
- Definition
- Trustworthy AI is an AI system that is valid, reliable, safe, secure, accountable, transparent, explainable, privacy-enhanced, and fair, as defined by the NIST AI Risk Management Framework. Each property is something a…
Turing Test
- Definition
- The Turing test is a thought experiment in which a machine counts as intelligent if a human judge, conversing by text, cannot tell it from a person. It is a cultural benchmark…
Use Case (AI)
- Definition
- An AI use case is a specific business task where AI does defined work, described by who uses it, what data it reads, what it produces, and how success is measured.
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