An automation of information originality assessment

В напрямку підвищення стійкості інформаційних технологій розглядаються можливі підходи до формалізації поняття оригінальності інформації з метою автоматизації процесу визначення кількісних оцінок. Пропонується нова інформаційна технологія ієрархічного адаптивного порівняння, яка має ряд суттєвих переваг перед відомими засобами визначення запозичень. Запропоновані підходи до формалізації поняття оригінальності інформації дозволяють автоматизувати процес визначення відповідних кількісних оцінок, що з розвитком комп’ютерних мереж та інформаційних технологій має велике практичне значення.В направлении повышения устойчивости информационных технологий рассматриваются возможные подходы к формализации понятия оригинальности информации с целью автоматизации процесса определения количественных оценок. Предлагается новая информационная технология иерархического адаптивного сравнения, которая имеет ряд существенных преимуществ перед известными определения заимствований. Предложенные подходы к формализации понятия оригинальности информации позволяют автоматизировать процесс определения соответствующих количественных оценок, с развитием компьютерных сетей и информационных технологий имеет большое практическое значение.In the field of improvement of information technologies withstandability the approaches to information originality formalization are evaluated in the context of automation of information originality quantitative assessment. The new information technology of hierarchical adaptive comparison is proposed, with a set of distinct advantages over an existing borrowing detection means. Developed approaches to information originality formalization allow automation of its quantitative assessment that in context of rapid evolution of information technologies and networks has a great practical value

AI-Generated Fashion Designs: Who or What Owns the Goods?

As artificial intelligence (“AI”) becomes an increasingly prevalent tool in a plethora of industries in today’s society, analyzing the potential legal implications attached to AI-generated works is becoming more popular. One of the industries impacted by AI is fashion. AI tools and devices are currently being used in the fashion industry to create fashion models, fabric designs, and clothing. An AI device’s ability to generate fashion designs raises the question of who will own the copyrights of the fashion designs. Will it be the fashion designer who hires or contracts with the AI device programmer? Will it be the programmer? Or will it be the AI device itself? Designers invest a lot of talent, time, and finances into designing and creating each article of clothing and accessory it releases to the public; yet, under the current copyright standards, designers will not likely be considered the authors of their creations. Ultimately, this Note makes policy proposals for future copyright legislation within the United States, particularly recommending that AI-generated and AI-assisted designs be copyrightable and owned by the designers who purchase the AI device

Identifying how automation can lose its intended benefit along the development process : a research plan

Doctoral Consortium Presentation © The Authors 2009Automation is usually considered to improve performance in virtually any domain. However it can fail to deliver the target benefit as intended by those managers and designers advocating the introduction of the tool. In safety critical domains this problem is of significance not only because the unexpected effects of automation might prevent its widespread usage but also because they might turn out to be a contributor to incident and accidents. Research on failures of automation to deliver the intended benefit has focused mainly on human automation interaction. This paper presents a PhD research plan that aims at characterizing decisions for those involved in development process of automation for safety critical domains, taken under productive pressure, to identify where and when the initial intention the automation is supposed to deliver can be lost along the development process. We tentatively call such decisions as drift and the final objective is to develop principles that will allow to identify and compensate for possible sources of drift in the development of new automation. The research is based on case studies and is currently entering Year 2

What to do when the robots come? Non-formal education in jobs affected by automation

Purpose: Ongoing automation processes may render a fair share of the existing jobs redundant or change their nature. This begs the question to what extent employees affected invest in training in order to strengthen their labour market position in times of uncertainty. Given the different national labour market regimes and institutions, there may be an important geographical dimension to the opportunities to cope with the challenges set by automation. The purpose of this study is to address both issues. Design/methodology/approach: Using data from the 2016 European labour Force Survey, the authors estimate with logit and multi-level regression analyses how the automation risk of a worker's job is associated with the propensity of following non-formal education/training. The authors allow this relationship to vary across European countries. Findings: The results show that employees in jobs vulnerable to automation invest relatively little in training. Also, there are significant differences across Europe in both the provision of training in general and the effect of automation on training provision. Originality/value: While there is quite a lot of research on the structural labour market effects of automation, relatively little is known about the actions that employees take to deal with the uncertainty they are faced with. This article aims to contribute to our understanding of such mechanisms underlying the structural macro-level labour-market dynamics

FinTech ecosystem as an instrument of sustainable development provision

Purpose: The article aims to determine the relationship between the FinTech ecosystem and ensuring a stable path of economic growth in the context of digitalization. The transition to digitalization of the financial sector is accompanied by a fundamentally new, qualitative transformation of socioeconomic relations in society. Design/Methodology/Approach: As part of the study, the concept of FinTech was considered both in the context of technological innovation and in the context of companies utilizing these innovations in business, as well as the systematization of business models of the FinTech industry. The classification of horizontal and vertical innovations of the financial industry is given. The authors presented the structure of the FinTech ecosystem as an instrument for ensuring sustainable. Findings: For the successful development of the FinTech ecosystem, the authors of the study presented a number of initiatives, the implementation of which will ensure the maintenance of the financial system stability, protection of consumer rights, as well as the digital innovations’ development and implementation. Practical Implications: The formation of a sustainable digital financial infrastructure tends to ensure the effective provision of services in the financial market, including for small and medium-sized companies, which will increase the availability of financial services and promote competition in the financial sector. Originality/Value: The key contribution of the study is the ecosystem approach, which allowed determining the possibilities of safe sustainable development of the financial sector.peer-reviewe

Automation of finite element aided design of induction motors using multi-slice 2D models

Purpose – To develop a practical design tool employing a general purpose electromagnetic finite element (FE) software package to perform automated simulation and performance analysis of induction motors in a design and optimisation process. Design/methodology/approach – Recent publications identified a suitable approach in applying 2D finite-element analysis to 3D problems. This, together with other similar work carried out on brushless DC motors, set out a framework for program development. Performance of the program was validated against practical test data. Findings – Finite-element analysis-based design tools can be realistically employed within a design office environment and are capable of providing solutions within acceptable time scales. Such tools no longer require user expertise in the underlying FE modelling method. The multiple slice technique was employed to model skew in three-phase induction motors and it was established that a four-slice model provides a good balance between accuracy and speed of computation. Research limitations/implications – Program development was based on one commercial FE software package and comparison with practical test data was not exhaustive. However, the approach outlined confirms the practical application. Future work could consider alternative approaches to optimisation. Practical implications – Computing hardware and commercially available 2D FE software have developed sufficiently to enable multi-slice techniques and optimisation to be employed in the analysis and design of machines. Originality/value – This paper provides a practical illustration of how commercial electromagnetic software can be employed as a design tool, demonstrating to industry that such tools no longer need to be bespoke and can realistically be used within a design office