Artificial Intelligence Platforms – A New Research Agenda for Digital Platform Economy

Abstract

Three out of nine of S&P500 digital platform companies stand out as building own artificial intelligence (AI) platforms. There is overwhelming empirical evidence of AI technologies are being central to running a digital platform business. However, the current research agenda is not directing researchers to study AI technologies in the context of digital platforms. We have divided the proposed AI platforms research agenda as follows: The first set of questions we propose relates to an overall conceptualization of AI platforms. Thereafter, we recognize specific aspects of AI platforms, which need to be investigated in detail to gain understanding that is more complete. The second set of questions we propose relates to understanding the dynamics between AI platforms and the broader socioeconomic context. This topic might be particularly relevant to economies of countries without indigenous AI platforms. Our paper builds on the proposition that AI is a general-purpose technology, which by itself carries properties of a digital platform.

Governing AI in Electricity Systems: Reflections on the EU Artificial Intelligence Bill

“…Although the electricity system has always been complex, the application of AI intensifies this (Delea and Casazza, 2010;van de Graaf and Sovacool, 2020). System operators frequently purchase AI technology (or service) from IT companies and startups (Makris et al, 2018;Mahmud et al, 2020;Mucha and Seppala, 2020). SOs use the program, but are often no experts in how the program operates; it is a black box.…”

Connectors of smart design and smart systems

“…AI-platforms are predesigned modular technological architectures, composed of a core and a periphery, for the seamless integration of cognitive system resources with the potential to easily Artificial Intelligence for Engineering Design, Analysis and Manufacturing plugin as many hardware, software, and cyberware components as possible or needed (Mucha and Seppala, 2020). They provide most of the interfaces that are needed for their interoperation of components but also allow offer a straightforward approach to customization for purpose.…”

“…Imre Horváth plugin as many hardware, software, and cyberware components as possible or needed (Mucha and Seppala, 2020). They provide most of the interfaces that are needed for their interoperation of components but also allow offer a straightforward approach to customization for purpose.…”

Electronic Markets on digital platforms and AI

“…For example, in electronic financial markets such metrics serve to detect insider trading and similar fraudulent behavior. The application of AI algorithms has been reported to date back to 2003 when Microsoft initiated automatic spam filtering on its platform and to 2006 when eBay started to improve product categorizations and product searches with AI (Mucha & Seppälä, 2020). Meanwhile Amazon, eBay and Google are known to apply machine learning for forecasting demand, detecting fraud, optimizing the selection and placement of search results and auction matches as well as to increase the reach of their platforms with automatic translating functionalities (Mucha & Seppälä, 2020, p. 4f).…”

“…Like business application software, these platforms feature a certain domain focus while office tools as well as development and operating environments are rather agnostic to a specific application domain. One form of applications services are AI services that have assumed platform characteristics since they bring together a platform owner, users and AI application developers (Mucha & Seppälä, 2020). Very often, AI platforms have emerged from existing digital platform providers, who bundle existing algorithms and developer tools with their large databases and computing infrastructure.…”