Agent experience - Agent experience, often shortened to AX, concerns how effectively AI agents discover, understand and use a product or service on a user's behalf.
Agent function - An agent function is the mathematical description of an agent's behavior: the complete mapping from everything the agent has perceived so far to the action...
Agent harness - An agent harness is the software surrounding an AI model that enables it to work through tasks.
Agent mining - Agent mining is a research area that combines autonomous agents and multi-agent systems with data mining.
Agent orchestration - Agent orchestration is the coordination of multiple AI agents or tool-using steps so they work together on a larger task: deciding which agent does what, in...
Agent program - An agent program is the actual running software that implements an agent: the code that takes the current percepts and produces the next action.
Agent verification - Agent verification is the examination of whether an autonomous software agent satisfies specified requirements.
Agentic loop - An agentic loop is the repeating cycle at the heart of an AI agent: observe the current state, decide the next step, act, read the result, and repeat until...
Agentic workflow - An agentic workflow is a business process in which an AI system moves through several steps toward a goal, choosing some of the steps itself, rather than...
Agentive logic - Agentive logic is a family of formal approaches for reasoning about what agents do, can bring about or are responsible for bringing about.
Agglomerative clustering - Agglomerative clustering is a method that groups data by merging: it starts with every item as its own tiny cluster, then repeatedly joins the two closest...
Aggregate (data warehouse) - An aggregate in a data warehouse is a summary of more detailed records, usually stored to answer common analytical queries efficiently.
Aggregate Query - An aggregate query summarizes multiple database rows using functions such as COUNT, SUM, AVG, MIN or MAX.
Aggregation - Aggregation, in planning, is the representation of multiple relevantly interchangeable objects or resources as a quantity or group instead of distinguishing...
AI agent - An AI agent is a system that uses information about its environment to choose and carry out actions towards a task or objective.
AI-assisted software development - AI-assisted software development is the use of AI tools to help people design, write, understand, test and maintain software.
AI-complete - AI-complete describes a problem believed to require the breadth of capability associated with general artificial intelligence to solve fully.
AI governance - AI governance is the system of decision rights, responsibilities, policies and oversight through which an organization directs its development, acquisition...
AI infrastructure - AI infrastructure is the combination of computing resources, data systems, networking and operational software used to develop, deploy and maintain AI...
AI principles - AI principles are high-level commitments intended to guide how artificial intelligence is developed, deployed and used.
AI risk management - AI risk management is the ongoing work of identifying, assessing, responding to and monitoring risks associated with developing or using AI.
AI safety - AI safety is the study and practice of preventing or reducing harm arising from AI systems and their use.
AI Scaling Wall - AI Scaling Wall is an informal expression for a proposed limit or sharp slowdown in the improvements obtained by making AI systems larger or spending more...
AI slop - AI slop is an informal, critical term for low-quality AI-generated content produced with an emphasis on quantity rather than usefulness, accuracy or...
AI washing - AI washing is the misleading presentation of a product, service or organization as using AI, or as benefiting from AI, beyond what the available evidence...
AI watermarking - AI watermarking is the embedding of a detectable signal in AI-generated or AI-altered content to help identify its origin.
AIOps - AIOps means applying artificial intelligence and analytics to IT operations.
Air gap (networking) - An air gap is a separation between systems without a direct physical connection or an automated logical data-transfer path across the boundary.
Airlight - Airlight is light scattered by the atmosphere into the camera's line of sight.
AIXI - AIXI is a theoretical model of an intelligent agent introduced by Marcus Hutter.
Akaike Information Criterion - The Akaike Information Criterion, or AIC, is a score for comparing statistical models that balances fit against complexity: it rewards models that explain...
Aktionsart - Aktionsart refers to the temporal character expressed by a verb or larger predicate: whether it describes a state, an ongoing activity, a process with a...
Algebraic code-excited linear prediction - Algebraic code-excited linear prediction (ACELP) is a speech-coding approach that represents speech using a prediction filter and a compact, mathematically...
Algebraic connectivity - Algebraic connectivity is the second-smallest eigenvalue of a graph's Laplacian matrix.
Algorithm - An algorithm is a precise, finite set of instructions for solving a problem or completing a task: the same steps, in the same order, producing a result from...
Algorithm BSTW - Algorithm BSTW is a lossless data-compression scheme associated with Jon Bentley, Daniel Sleator, Robert Tarjan and Victor Wei.
Algorithm IMED - Algorithm IMED, short for Indexed Minimum Empirical Divergence, is a method for choosing actions in a stochastic multi-armed bandit problem.
Algorithm selection - Algorithm selection is the task of choosing an algorithm from a set of candidates for a particular problem or problem instance.
Algorithmic accountability - Algorithmic accountability means that people and organizations can be held answerable for how algorithmic systems are designed, used and governed.
Algorithmic amplification - Algorithmic amplification is an increase in the visibility or distribution of content associated with an algorithmic selection or ranking process relative...
Algorithmic aversion - Algorithmic aversion is reluctance to rely on an algorithm, particularly when people reject its recommendations after seeing it make mistakes despite...
Algorithmic inference - Algorithmic inference is a computational approach to statistical inference that explicitly uses a data-generation or sampling mechanism to reason from...
Algorithmic probability - Algorithmic probability assigns probability to an output by considering programs that generate it, with shorter programs receiving greater weight.
Algorithmic skeleton - An algorithmic skeleton is a reusable structure for a family of computations, especially parallel computations.
Algorithmic transparency - Algorithmic transparency is the availability of understandable information about an algorithmic system's purpose, operation, data, limitations and use.
Aliasing (factorial experiments) - Aliasing in factorial experiments occurs when the chosen experimental runs do not allow some effects to be estimated separately.
Alignment - In AI, alignment is the aim of making a system's behavior consistent with intended goals, human values and relevant constraints.