scholarly journals THE CONCEPT OF LEGAL REGULATION OF ARTIFICIAL INTELLIGENCE: PLATFORM LEGAL MODELS

2020 ◽  
pp. 26-40
Author(s):  
S. Yu. Kashkin ◽  
A. V. Altoukhov
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Social Relations ◽  
Business Models ◽  
Legal Regulation ◽  
Production Costs ◽  
The Internet ◽  
Management Concepts ◽  
Legal Forms ◽  
The Internet Of Things

Modern technologies and new management concepts — industrial and product platforms — create breakthrough innovative products and services based on the integrated integration of Artifi cial Intelligence, Big Data and the Internet of Things. The cost of communications has plummeted over the past decade, making network and system integration less expensive. Platforms are the physical embodiment of networking. They take traditional production to digital footing, lowering production costs and turning products into services that provide greater profi t. Platform law could become a mechanism for the network interaction of Artifi cial Intelligence, Big Data and the Internet of Things. It should be like integration law, but permeated, in accordance with its updated nature, scientifi c, technological and information-digital algorithms of legal relations and interactions. To meet the requirements of the time, legal institutions must change — the dominance of platform business models creates new legal relations and the need to seek new content and new legal forms of institutional regulation of changing social relations. The legal fi eld of platform business models is in a constant search for a balance between innovations (technologies + economics) and their legal regulation.

scholarly journals Proposals for Modernization of Legal Regulation of Artificial Intelligence and Robotics Technologies in Russia with Platform Legal Models

2021 ◽  
Vol 8 (3) ◽  
pp. 370-389
Author(s):  
S. Yu. Kashkin
Keyword(s):  
Artificial Intelligence ◽  
Social Relations ◽  
Business Models ◽  
Legal Regulation ◽  
Production Costs ◽  
Product Platforms ◽  
Management Concepts ◽  
Digital Algorithms ◽  
Legal Forms ◽  
Teleological Interpretation

Modern technologies and new management concepts — industrial and product platforms — create breakthrough innovative products and services based on the complex integration of artificial intelligence and other latest digital technolog3ies. Platforms are the physical embodiment of connectivity, digitalizing traditional manufacturing, lowering production costs, and converting goods into services that generate more value. Platform law could become a networking mechanism for artificial intelligence, big data, and the internet of things. It has features and instruments of legal regulation similar to those of integration law, but it is permeated, in accordance with its renewed nature, with scientific, technological and information-digital algorithms of legal relations and interactions. To meet the requirements of the time, legal institutions must change; the dominance of platform business models creates new legal relations and the need to search for new content and new legal forms of institutional regulation of changing social relations. Both traditional and adapted for its specifics methods are used in the article: historical, from the EU law — teleological (interpretation based on goals), comparative jurisprudence (synchronous and diachronous), comparative integration law, comparative law of science and technology, comparative legal regulation of AI and digital law, comparative platform law, comparative experimental law. The legal field of platform entities is in constant search of an effective balance between technological and economic innovations and their legal regulation. At the same time, it can become an effective mechanism for regulating artificial intelligence in the interests of humans.

Creating a Research Laboratory on Big Data and Internet of Things for the Study and Development of Digital Transformation

2019 ◽  
pp. 339-358 ◽  
Author(s):  
Vardan Mkrttchian ◽  
Leyla Gamidullaeva ◽  
Svetlana Panasenko ◽  
Arman Sargsyan
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Business Model ◽  
Research Laboratory ◽  
Business Models ◽  
Digital Transformation ◽  
The Internet ◽  
Technology Platform ◽  
The Cost ◽  
The Internet Of Things

This chapter discusses the problems associated with the design of the business model in the new context of big data and the internet of things to create a research laboratory for studying and improving digital transformations. The development of business prospects for IOT is due to two main trends: 1) the change of focus from IOT viewing primarily as a technology platform for viewing it as a business ecosystem and 2) the transition from focusing on the business model in general to the development of business models of ecosystems. In the chapter, the business model of the ecosystem is considered as a model consisting of signs fixed in ecosystems and focuses on creating the cost of the laboratory and fixing the value of the ecosystem in which the created laboratory operates.

The future of the Internet of Things: toward heterarchical ecosystems and service business models

2018 ◽  
Vol 33 (6) ◽  
pp. 749-767 ◽  
Author(s):  
Seppo Leminen ◽  
Mervi Rajahonka ◽  
Mika Westerlund ◽  
Robert Wendelin
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Value Chain ◽  
Large Scale ◽  
Business Models ◽  
The Internet ◽  
Content Type ◽  
Industry Collaboration ◽  
New Business ◽  
The Internet Of Things

Purpose This study aims to understand their emergence and types of business models in the Internet of Things (IoT) ecosystems. Design/methodology/approach The paper builds upon a systematic literature review of IoT ecosystems and business models to construct a conceptual framework on IoT business models, and uses qualitative research methods to analyze seven industry cases. Findings The study identifies four types of IoT business models: value chain efficiency, industry collaboration, horizontal market and platform. Moreover, it discusses three evolutionary paths of new business model emergence: opening up the ecosystem for industry collaboration, replicating the solution in multiple services and return to closed ecosystem as technology matures. Research limitations/implications Identifying business models in rapidly evolving fields such as the IoT based on a small number of case studies may result in biased findings compared to large-scale surveys and globally distributed samples. However, it provides more thorough interpretations. Practical implications The study provides a framework for analyzing the types and emergence of IoT business models, and forwards the concept of “value design” as an ecosystem business model. Originality/value This paper identifies four archetypical IoT business models based on a novel framework that is independent of any specific industry, and argues that IoT business models follow an evolutionary path from closed to open, and reversely to closed ecosystems, and the value created in the networks of organizations and things will be shareable value rather than exchange value.

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