AI application
In plain wordsA program or product that uses AI to do something useful for people, such as a translation app, a medical-scan checker or a coding assistant.
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Products
A software product or feature that applies AI to a practical problem for end users or organizations, such as a translation app, a tool that triages medical scans, a fraud detector or a coding assistant, as distinct from the underlying modelsAI model, n.: The trained core of an AI: a large file of learned numbers plus the recipe for using them, which turns an input such as a question or a photo into an output. and infrastructure. In descriptions of the AI stackAI stack, n.: The layers of technology an AI product depends on, from chips and data centers at the bottom, through the models, up to the apps people use, each built on the layer below., the application layer sits above model providers and compute and adds the user interface, workflow integration, proprietary data and domain logic; applications that add little beyond a third-party model are derided as wrapperswrapper, n.: A product built mostly on top of someone else's AI model, adding a simple interface or a few instructions; often used as a put-down implying the product is easy to copy.. Under the EU AI ActEU AI Act, prop. n.: The European Union's law on artificial intelligence, the first broad AI law anywhere: it bans some uses, sets strict checks for risky ones and puts duties on the makers of the biggest AI models. the risk tier depends largely on the application: the same model can power a harmless chatbot or a high-risk AI systemhigh-risk AI system, n.: Under EU law, an AI system used where mistakes could seriously hurt people's safety or rights — in hiring, schooling, loans, policing, borders or products like medical devices — and which must therefore pass strict checks. such as a hiring tool.
The model is a commodity; our AI application wins on integration with hospital records.
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Field of use
An area in which AI is put to use, as in 'applications of AI in medicine'. Applied AI research, documented in venues such as AAAI's Innovative Applications of Artificial Intelligence conference, reports deployed systems, their measured impact and lessons learned.
Origin
'Applications of artificial intelligence' has described deployed uses since the field's early decades, notably during the expert-system boom of the 1980s, when AAAI launched its Innovative Applications of AI conference (1989). The product sense, 'AI app', became common in the 2010s with mobile and cloud machine-learning services and multiplied after 2022 as developers built on model APIs.
Usage note
Distinguish the application (what users interact with) from the AI modelAI model, n.: The trained core of an AI: a large file of learned numbers plus the recipe for using them, which turns an input such as a question or a photo into an output. it calls and the AI systemAI system, n.: A complete piece of technology that uses AI to do something, such as screening loan applications, driving a car or chatting with customers, including the AI model and the software around it. (the legally relevant whole). Many AI applications are mostly conventional software with a small AI component.
Related
- AI systemAI system, n.: A complete piece of technology that uses AI to do something, such as screening loan applications, driving a car or chatting with customers, including the AI model and the software around it.
- AI modelAI model, n.: The trained core of an AI: a large file of learned numbers plus the recipe for using them, which turns an input such as a question or a photo into an output.
- AI stackAI stack, n.: The layers of technology an AI product depends on, from chips and data centers at the bottom, through the models, up to the apps people use, each built on the layer below.
- wrapperwrapper, n.: A product built mostly on top of someone else's AI model, adding a simple interface or a few instructions; often used as a put-down implying the product is easy to copy.
- model APImodel API, n.: A web service through which programs send requests to an AI model run by a company and receive its answers, usually paying per use instead of running the model themselves.
- AI engineeringAI engineering, n.: The craft of building useful, reliable products on top of AI models — choosing models, writing prompts, connecting data and tools, testing quality and running it all safely at scale.
- AI-poweredAI-powered, adj.: Described as using artificial intelligence to work. The label appears on everything from search engines to toothbrushes and often says little about how much AI is really involved.
- AI modelAI model, n.: The trained core of an AI: a large file of learned numbers plus the recipe for using them, which turns an input such as a question or a photo into an output.
Mentioned in
AI systemAI system, n.: A complete piece of technology that uses AI to do something, such as screening loan applications, driving a car or chatting with customers, including the AI model and the software around it., AI-poweredAI-powered, adj.: Described as using artificial intelligence to work. The label appears on everything from search engines to toothbrushes and often says little about how much AI is really involved.