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ARTICLE · 21 JUNE 2023

AI As A Service – A Simple Introductory Example

Kemp IT Law
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This blog: briefly introduces the technical and business context of AI as a Service ("AIaaS") (para. ‎1); works through a simple introductory example (para. ‎2); and considers...

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Chris Kemp
Chris Kemp
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This blog: briefly introduces the technical and business context of AI as a Service ("AIaaS") (para. ‎1); works through a simple introductory example (para. ‎2); and considers some of the attendant legal issues (para. ‎3). It is an extract from v4.0 of our Legal Aspects of Artificial Intelligence White Paper, available here.

1. The AIaaS platform ecosystem.

For all its technical novelty, AI is no exception to the trend for rapid commoditisation in cloud services. The big cloud vendors (Amazon Web Services, Microsoft (via the Azure cloud platform) and Google (via Google Cloud Platform among a handful of others) offer an expanding range of standardised, pre-configured AI-enabled services. For example, services which enable app or website owners to deploy chatbots; financial services and insurance companies to detect online fraud; and research scientists to derive insights from unstructured medical data.1

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