Artificial Intelligence (AI)

Artificial Intelligence (AI) refers to the development of computer systems designed to perform tasks that traditionally require human intelligence, such as learning, problem-solving, decision-making, and perception. The report also recommends establishing a statewide definition for clarity.

The development of software and hardware and the end-use application of technologies that are able to perform tasks normally requiring human intelligence. This includes, but is not limited to, visual perception, speech recognition, decision-making, translation between languages, and generative artificial intelligence, which creates new content based on user inputs.

Artificial intelligence is a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment. For explicit or implicit objectives, it infers from the input it receives how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments.

Any software, machine, or system capable of simulating human-like cognitive functions, including learning or reasoning. This definition encompasses artificial general intelligence, artificial superintelligence, and generative artificial intelligence.

In the context of Smart Sampa, AI refers to advanced algorithms used for facial recognition, behavioral analysis, and intelligent alerts to identify suspicious activities, missing persons, and fugitives.

Refers to the simulation, extension, or expansion of human intelligence by perceiving the environment, acquiring knowledge, or deducing with computers or devices controlled by computers.

Artificial Intelligence refers to machine-based systems designed to make predictions, recommendations, or decisions that influence real or virtual environments. These systems operate based on human-defined objectives and encompass various methodologies and applications.

The simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction. In the context of HB 1071, it refers to technologies capable of generating or simulating human likenesses and voices.

As defined by AB 2355, artificial intelligence is an engineered or machine-based system that varies in its level of autonomy and can infer from input to generate outputs influencing physical or virtual environments.

As defined by Public Act 23-16, 'AI' means (1) a set of techniques, including machine learning, designed to approximate a cognitive task, or (2) an artificial system that performs tasks under varying and unpredictable circumstances without significant human oversight or can learn from experience and improve performance when exposed to data sets, and solves tasks requiring human-like perception, cognition, planning, learning, communication, or physical action.

A machine-based system used to analyze applicant-submitted video interviews to evaluate characteristics such as facial expressions, body language, word choice, and tone of voice to determine an applicant's fitness for a position.

The capability of a machine to exhibit human-like cognitive functions, such as reasoning, learning, planning, and creativity. AI systems may adapt their behavior to a certain degree by analyzing the effects of previous actions and operating under varying and unpredictable circumstances without significant human oversight.

The simulation of human intelligence processes by machines, especially computer systems, including learning, reasoning, and self-correction.

A computer system modeled loosely on the human brain that recognizes patterns in data, capable of generating or manipulating content such as videos, images, or audio files to realistically portray something that did not actually occur. In the context of HB 1167, it refers to the technology used to create political communications requiring disclosure.

The overarching subject matter that the task force is mandated to study, specifically focusing on its terminology for legislative purposes.

The simulation of human intelligence processes by a machine, especially computer systems, such that it can adapt and learn on its own using machine algorithms that can analyze large volumes of training data to identify correlations, patterns, and other metadata that can be used to develop a model.

AI encompasses machine learning, deep learning, natural language processing, and other technologies that enable systems to perform tasks typically requiring human intelligence, such as problem-solving, learning, and decision-making. It is a rapidly evolving field with broad societal and economic implications.

Intelligent technology, programs, and the use of advanced computing algorithms that can augment decision-making by identifying meaningful patterns in data. This broad definition encompasses various forms of AI, from custom-built systems to those developed using generic AI platforms, and applies to both customisable and off-the-shelf AI components.

A domain of computer science that focuses on building computer systems to imitate human behaviour with a focus on developing models that can learn and can autonomously take actions on behalf of a human. It is also defined as an engineered system that generates predictive outputs such as content, forecasts, recommendations, or decisions.

Systems that can perform tasks typically requiring human intelligence, such as learning, problem-solving, and decision-making, as understood within the context of government operations and service delivery.

Machines that can simulate an element of human capability, encompassing both traditional AI systems and generative AI technologies. The WA Government AI Policy and Assurance Framework apply to the development and usage of all such AI solutions.

Systems designed to process data, learn, reason, and make decisions, often automating tasks that typically require human intelligence. Within the SCE's context, these are considered technical support tools.

AI encompasses technologies and methodologies like machine learning, deep learning, natural language processing, computer vision, and robotics, enabling machines to perform tasks traditionally requiring human intelligence. It is viewed as a transformative force driving technological and industrial revolutions across various sectors.

AI refers to digital models, algorithms, and technologies designed for sophisticated perception, reasoning, interaction, and learning, capable of performing tasks that typically require human intelligence. ER2Digit specifically focuses on AI technologies to drive innovation in public services and businesses.

A branch of computer science dealing with the simulation of intelligent behavior in computers, or the capability of a machine to imitate intelligent human behavior.

Artificial Intelligence (AI) broadly refers to the simulation of human intelligence processes by machines, especially computer systems. This encompasses capabilities like learning, reasoning, problem-solving, perception, and language understanding, forming the core of advanced computational systems.

A broad branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence, encompassing machine learning, natural language processing, and robotics. These systems learn, solve problems, and make decisions autonomously.

Artificial Intelligence (AI) refers to systems that display intelligent behavior by analyzing their environment and taking action – with some degree of autonomy – to achieve specific goals. These systems can be software-based or embedded in hardware devices, focusing on practical applications for industry and public services.

The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Within the Hanoi plan, AI is a core tool for urban management, service optimization, and data-driven decision-making.

Systems that display intelligent behavior by analyzing their environment and taking actions—with some degree of autonomy—to achieve specific goals, serving as the 'brain' of smart cities for data analysis, risk forecasting, and service improvement.

Technology that simulates human intelligence, enabling computers and machines to perform tasks that typically require human cognition, viewed as a spectrum of tools with varying complexity and impact.

Artificial Intelligence (AI) refers to the theories, methods, technologies, and application systems that utilize computers or computer-controlled machines to simulate, extend, and expand human intelligence. This encompasses the capabilities to perceive environments, acquire knowledge, and employ that knowledge to achieve optimal outcomes in various tasks.

A broad field of computer science that gives computers the ability to imitate human intelligence, including learning, reasoning, problem-solving, perception, and language understanding.

Artificial Intelligence (AI), at its broadest, refers to systems that display intelligent behavior by analyzing their environment and taking actions—with some degree of autonomy—to achieve specific goals. This encompasses various sub-fields such as Machine Learning (ML), which involves algorithms that allow systems to learn from data, and Natural Language Processing (NLP), focused on enabling computers to understand, interpret, and generate human language.

A broad field of computer science focused on creating intelligent machines that can perform tasks typically requiring human intelligence, such as learning, problem-solving, and decision-making. The Telangana roadmap views AI as a transformative technology capable of driving economic growth, improving public services, and enhancing the quality of life for citizens.

Artificial Intelligence (AI) refers to the theory and development of computer systems capable of performing tasks typically requiring human intelligence. This includes areas such as machine learning, data analytics, natural language processing, and robotics, aiming to impact businesses, the public sector, and citizens.

A broad field of computer science focused on creating machines that can perform tasks that typically require human intelligence, including learning, problem-solving, perception, and language understanding, often through algorithms and data analysis.

A system (hardware, software, or both) designed to carry out tasks associated with human intelligence in a manner that mimics the human mind with a certain level of autonomy.

Refers to systems that display intelligent behaviour by analysing their environment and taking action – with some degree of autonomy – to achieve specific goals. AI systems can be software-based or embedded in hardware devices.

The development of computer systems capable of performing tasks that typically require human intelligence, such as learning, problem-solving, decision-making, perception, and natural language understanding, as applied to practical scenarios within the urban environment of Ho Chi Minh City.

Artificial Intelligence refers to computer systems capable of performing tasks that typically require human intelligence, such as learning, problem-solving, decision-making, and understanding language. It encompasses various techniques, including machine learning and deep learning, to enable machines to perceive, reason, and act.

Refers to machine-based systems that can, for human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments, utilizing machine and human-based inputs to perceive, abstract, and infer. This broad definition encompasses various sub-fields such as machine learning, deep learning, natural language processing, computer vision, and robotics.

AI refers to computer systems or applications capable of performing tasks that typically require human intelligence, encompassing areas such as decision-making, language processing, and visual perception. This broad definition covers advanced machine learning algorithms and complex autonomous systems.

Artificial Intelligence (AI) refers to technologies enabling computers and machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. This encompasses various forms, including generative AI models capable of creating new content.

Generally refers to systems that display intelligent behavior by analyzing their environment and taking actions—with some degree of autonomy—to achieve specific goals. This broad definition encompasses various AI technologies, including machine learning, deep learning, natural language processing, and computer vision.

Artificial Intelligence (AI) is consistently referred to as a transformative technology that can fundamentally reshape economies, unlock innovation, enhance productivity, and improve competitiveness across various sectors. The Initiative views AI as a catalyst for economic growth and societal well-being, emphasizing its profound and long-term implications.

A computer science discipline that seeks, through models and algorithms, for machines to autonomously imitate human intelligence behaviors; considered as the manifestation of intelligence, similar to that of human beings, in a non-human entity.

A field of computer science focused on creating intelligent machines that can perform tasks typically requiring human intelligence, such as learning, problem-solving, and decision-making, as applied in aviation contexts.

Artificial Intelligence (AI) is broadly defined as a collection of technologies that produce systems capable of tracking complex problems in ways similar to human logic and reasoning. This encompasses various sub-fields, most notably Machine Learning (ML).

Refers to machine-based systems that, for human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments. These systems operate with varying autonomy, learning and improving through experience and data, encompassing machine learning, deep learning, natural language processing, and computer vision.

AI refers to computer systems designed to simulate human intelligence, including learning, problem-solving, and decision-making. In healthcare, this encompasses algorithms and models used for diagnostics, treatment planning, and administrative tasks.

A machine-based system capable of making predictions or recommendations for human-defined objectives. It specifically includes AI chatbots that provide adaptive, human-like responses and are designed to meet social needs, while excluding certain benign applications.

In the context of this bill, A.I. refers to advanced computer systems, particularly chatbots, that can provide adaptive, human-like responses and meet social needs, distinguishing them from simpler AI applications.

Artificial Intelligence (AI) generally refers to systems that can perform tasks that typically require human intelligence, including learning, problem-solving, and decision-making. The policy statement focuses on commercial applications impacting consumer welfare.

Computer systems designed to perform tasks that typically require human intelligence, such as learning, problem-solving, decision-making, and language understanding.

A machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations or decisions influencing real or virtual environments. Artificial intelligence systems use machine- and human-based inputs to perceive real and virtual environments; abstract such perceptions into models through analysis in an automated manner; and use model inference to formulate options for information or action.

Artificial intelligence refers to computational systems capable of performing tasks that typically require human intelligence, including learning, problem-solving, decision-making, and language understanding. Within HB 273, it specifically addresses generative AI and its application by students and educators, with restrictions on its use for grading or high-stakes decisions.

Refers to the use of computational systems to generate or create visual depictions, particularly in the context of creating apparent child sexual abuse material.

Artificial intelligence (AI) is defined as an engineered or machine-based system that exhibits varying levels of autonomy and can infer from input to generate outputs that influence physical or virtual environments, for explicit or implicit objectives. This broad definition encompasses the range of AI technologies the bill intends to regulate.

Generally refers to computer systems designed to perform tasks that typically require human intelligence, encompassing a wide array of capabilities such as learning, problem-solving, perception, and language understanding.

Systems that display intelligent behaviour by analysing their environment and taking actions – with some degree of autonomy – to achieve specific goals. This broad definition encompasses various sub-fields such as machine learning, deep learning, natural language processing, computer vision, and robotics, recognizing the diverse applications and technologies that fall under the AI umbrella. The decree understands AI not just as a technological capability but as a transformative force impacting economic structures, social interactions, and governance mechanisms. The scope of AI within this context includes both narrow AI, designed for specific tasks, and the foundational research and development that may lead to more general AI systems. This comprehensive understanding ensures that the Minister's purview covers the entire spectrum of AI-related activities, from fundamental research to commercial deployment and societal impact assessment.

The electronic implementation of human intellectual abilities, encompassing functions such as learning, reasoning, perception, judgment, and language comprehension.

A machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments. AI systems are designed to operate with varying degrees of autonomy and can learn, reason, and adapt.

Artificial Intelligence (AI) encompasses models and systems capable of performing functions generally associated with human intelligence, including reasoning and learning. Under Tennessee law, these systems are expressly excluded from the definition of a 'person'. This ensures that AI remains a tool and does not acquire legal rights or responsibilities.

AI refers to systems that can perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. In creative industries, this includes generative AI for content creation and tools for automating production processes. It encompasses a broad range of technologies designed to simulate human cognitive functions.

Artificial Intelligence (AI) refers to systems capable of performing tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. These systems, for a given set of human-defined objectives, can make predictions, recommendations, or decisions influencing real or virtual environments. In critical infrastructure, AI systems are deployed to enhance efficiency, security, and operational capabilities.

Artificial intelligence is defined as a machine-based system that, for explicit or implicit objectives, infers from its input how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. This broad definition covers various AI technologies.

Refers to systems or machines that mimic human intelligence to perform tasks and can iteratively improve themselves based on the information they collect. In the context of SR 789, it specifically relates to AI's application in creative fields like film, television, and writing, examining its impact on content creation and workforce.

Artificial intelligence (AI) refers to engineered or machine-based systems that demonstrate varying levels of autonomy. These systems are designed to infer from their input to generate outputs that can influence physical or virtual environments, serving explicit or implicit objectives.

As defined by the AI Basic Act, AI refers to the electronic implementation of human intellectual abilities, including learning, reasoning, perception, decision-making, and language comprehension, encompassing a wide range of technologies.

Artificial Intelligence (AI) generally refers to machine-based systems that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments. These systems typically perceive environments, abstract perceptions into models through automated analysis, and use model inference to formulate options for information or action.

Artificial Intelligence encompasses systems capable of performing tasks such as classification, grouping, action selection, and generating new content like text, images, or code. It aims to enable machines to learn, reason, perceive, and understand.

The theory and development of computer systems able to perform tasks normally requiring human intelligence, often focusing on machine learning-based systems in the data protection context.

Artificial intelligence, or AI, refers to systems or machines that mimic human intelligence to perform tasks and can iteratively improve themselves based on the information they collect. This Act specifically includes generative artificial intelligence, which can create new content like text, images, or code.

A machine-based system that, for a given set of human-defined objectives, can make predictions, recommendations, or decisions influencing real or virtual environments, typically utilizing machine and human-based inputs.

Artificial Intelligence refers to the development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. It encompasses machine learning, deep learning, and other advanced computational techniques.

AI refers to systems that analyze their environment and take autonomous actions to achieve specific goals, as defined by Louisiana Revised Statutes 14:73.14, encompassing technologies capable of generating or manipulating audio content.

In the context of Missouri SB 1019, Artificial Intelligence refers to any system that is advertised or represented as being able to act as a mental health professional, provide therapy services, psychotherapy services, or a mental health diagnosis. The bill focuses on the functional capabilities and public representation of AI rather than its technical architecture.

As defined in R.S. 14:73.14, AI refers to an artificial system developed in computer software, physical hardware, or other context that solves tasks requiring human-like perception, cognition, planning, learning, communication, or physical action. This broad definition covers various AI technologies used for digital manipulation.

Artificial intelligence (AI) as referred to in the legislation encompasses an automated process, system, or tool. This broad definition includes various forms of automated decision-making technologies utilized by insurers and providers in the context of health claim processing. The law distinguishes between AI as a sole basis for critical decisions and its role as an assistive tool, mandating human review for certain AI-driven determinations.

Artificial intelligence, or AI, refers to machine-based systems that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments. These systems may operate with varying levels of autonomy and are designed to function across diverse hardware and software platforms, as defined in 15 U.S.C. 9401(3).

Artificial intelligence refers to the theory and development of computer systems able to perform tasks that normally require human intelligence. This includes capabilities like visual perception, speech recognition, decision-making, and translation between languages. AI encompasses a broad range of technologies and applications.

Artificial Intelligence (AI) refers to nonhuman entities or systems capable of performing tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. In the context of HB 191, it specifically denotes systems that are barred from holding medical licenses or using protected professional titles.

Refers to systems defined by Section 2-101 of the Illinois Human Rights Act. In therapy, AI is limited to administrative support tasks and explicitly prohibited from making independent therapeutic decisions, direct client interaction, or generating treatment plans without human review.

Refers to computer models and systems designed to mimic human cognitive abilities, including complex tasks like reasoning, problem-solving, and learning from data, enabling them to perform functions typically requiring human intelligence.

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the context of SB 186, AI is specifically referenced for its capability to generate or alter visual depictions, leading to the creation of deepfakes and synthetic child sexual abuse material.

Refers to artificial intelligence, algorithms, or other software tools used in making adverse decisions regarding health insurance coverage.

Artificial Intelligence (AI) refers to machine-based systems capable of making predictions, recommendations, or decisions for a given set of human-defined objectives. These systems influence real or virtual environments by processing data and learning from it. In healthcare, AI can assist with diagnostics, treatment planning, and administrative tasks.

Artificial Intelligence (AI) refers to systems that display intelligent behavior by analyzing their environment and taking actions—with some degree of autonomy—to achieve specific goals. These systems can learn, reason, perceive, and understand language.

Artificial Intelligence (AI) is understood broadly as a transformative force encompassing advanced computational systems capable of performing tasks that typically require human intelligence, such as learning, problem-solving, decision-making, and language comprehension. The strategy emphasizes a human-centric view of AI, focusing on its applications to improve people's livelihoods, foster inclusive growth, and support cultural preservation.

The strategy implicitly defines AI as a transformative force capable of reshaping economies and societies, encompassing machine learning, deep learning, natural language processing, and computer vision. It refers to AI systems and AI-driven transformations that integrate into various aspects of life, producing efficiencies and enhancing human capacities.

Artificial Intelligence, or AI, refers to systems that can perceive their environment, reason, learn, and take action to achieve specific goals. This includes capabilities such as learning, problem-solving, decision-making, and perception, as defined by 15 U.S.C. 9401(3).

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines programmed to think and learn. In the context of HB 3642, AI specifically refers to the technology used to generate or alter images that appear to depict child sexual abuse, bringing such content under the purview of state law.

Generally refers to systems that display intelligent behaviour by analysing their environment and taking actions – with some degree of autonomy – to achieve specific goals. In regulatory contexts, this includes AI for data analysis, document drafting, or pattern identification.

Artificial intelligence (AI) refers to a machine-based system that can, for explicit or implicit objectives, infer from the input it receives how to generate outputs that can influence physical or virtual environments. This broad definition covers various AI technologies used in healthcare, from diagnostic algorithms to administrative automation tools.

An engineered or machine-based system that demonstrates varying levels of autonomy, capable of inferring from the input it receives to generate outputs that can influence physical or virtual environments, as defined in California Government Code Section 11546.45.5.

Artificial intelligence refers to computer systems designed to simulate human cognitive functions such as learning, problem-solving, and decision-making. AB 2148 indirectly addresses AI by ensuring human roles in education are preserved.

An umbrella term covering various tools and systems designed to perform tasks that typically require human intelligence, including making predictions, recommendations, or decisions. This encompasses modern large language models and other advanced AI applications.

Refers to machine-based systems capable of making predictions, recommendations, or decisions for human-defined objectives, impacting real or virtual environments. It encompasses various technologies like machine learning and expert systems.

AI refers to advanced computer systems designed to perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. These systems often utilize machine learning and deep learning techniques to process vast amounts of data and iteratively enhance their capabilities.

A component of an information system that implements AI technology and uses computational, statistical, or machine-learning techniques to produce outputs from a given set of inputs. More broadly, technologies and systems including software and/or hardware that can learn to solve complex problems, make predictions or solve tasks that require human-like sensing, perception, cognition, planning, learning, communication or physical action.

Systems that display intelligent behavior by analyzing their environment and taking actions—with some degree of autonomy—to achieve specific goals.

Artificial Intelligence (AI) refers to systems that can process information, learn from data, and perform tasks that typically require human intelligence. This includes machine learning, natural language processing, and other advanced computational methods, often with some degree of autonomy.

AI refers to systems and applications designed to simulate human cognitive functions, including learning, reasoning, problem-solving, perception, and language understanding. These technologies are central to the plan's objectives for enhancing productivity and public services.

Refers to systems designed to simulate human intelligence, enabling machines to perform tasks that typically require human cognition, such as learning, problem-solving, and decision-making. Within this Action Plan, AI encompasses a broad range of technologies and applications aimed at enhancing productivity, improving services, and fostering societal well-being across various sectors in Iceland.

Advanced technological systems capable of performing tasks that typically require human intelligence, encompassing a broad range of applications and methodologies.

Refers to advanced computational systems that heavily depend on large datasets for their training, development, and operational functions, enabling them to perform tasks typically requiring human intelligence. The call for evidence implicitly uses this term without a strict legal definition.

Artificial Intelligence (AI) refers to the development of computer systems capable of performing tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. The UAE policy implicitly defines AI broadly, encompassing various forms of machine learning and deep learning applications.

Artificial Intelligence (AI) encompasses systems designed to perceive their environment, learn, reason, and act to achieve specific goals, often mimicking human cognitive functions. It is a core technology supported by the Sandbox.

AI refers to advanced computational systems designed to simulate human cognitive functions such as learning, reasoning, perception, and decision-making. These systems enable machines to perform tasks that traditionally require human intelligence, driving innovation across various sectors.

AI refers to systems designed to simulate human cognitive functions, such as learning, problem-solving, and decision-making, often through algorithms and data processing. The Guide focuses on traditional AI, distinguishing it from generative AI.

A suite of technologies that allow machines to execute tasks typically associated with human cognitive abilities, including learning, decision-making, and perception, with a focus on practical application and societal impact.

Artificial Intelligence refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. It encompasses various sub-fields like machine learning, deep learning, natural language processing, and computer vision.

Artificial Intelligence (AI) refers to systems that are designed to operate with some degree of autonomy, analyzing their environment and taking actions to achieve specific goals. These systems can range from simple rule-based programs to complex machine learning models capable of learning and adapting. The resolution implies a broad understanding of AI, encompassing various technologies and their potential societal impacts.

Artificial Intelligence (AI) encompasses a broad spectrum of technologies and computational systems capable of performing tasks that typically require human intelligence. This includes machine learning, natural language processing, computer vision, and other cognitive computing capabilities designed to enable machines to learn, reason, perceive, and make decisions.