European Ai-Policy Space

Artificial Intelligence (AI) is one of the central technologies of the fourth industrial revolution. A significant part of the production of surplus value in the XXI century is associated with the mastery and widespread introduction of technologies, which contributes to the consolidation of technological competition as an object of state policy and an important component of international relations. The European Union today occupies a leading position in the field of technology development and Since 2018 the EU is in the process of forming a unified strategy in the field of AI, the directions, principles and approaches of which are the main subject of this article.The study is primarily based on the analysis of official documents included in the EU Strategy on AI: White Paper, Coordination Plan, Proposal for a Regulation establishing harmonized rules for artificial intelligence in the EU, documents of the expert groups of the European Commission, etc. The analysis of the EU policy to promote its own vision and approaches at the international level is based on theoretical models of the concept of “soft power” and the neo-institutional approach.Against the backdrop of fierce global technological competition, the EU was one of the first in the world to form a holistic strategy for the development of AI technologies. This makes it possible not only to strengthen its own position as a world leader in the field of innovative technologies, but also to significantly expand the intra-European and international integration agenda, as well as to supplement the European arsenal of soft power with tools to promote its own norms, standards and ethical principles of AI development at the global level.The key directions of the EU AI Policy are identified and disclosed. These include investments in technologies, creating conditions for their development, promoting development and implementation, creating an educational and regulatory environment, promoting the European vision of AI technology development at the international level. The authors considered key mechanisms of political regulation at the EU level, forms of interaction between stakeholders, approaches to promoting common principles in the field of ethics and security of AI technologies within the EU and at the international level.

Entry barriers could easily thwart China’s tech plans

Significance These are: artificial intelligence, semiconductors, quantum computing, genetics, biotechnology, neuroscience and aerospace. Impacts It is not always useful to view technological competition between China and the West as a ‘race’. China will likely burn significant capital just to achieve parity with advanced countries, and may never achieve it. Low margins will encourage protectionism and import substitution, with an impact on efficiency and productivity.

Design and validation of an instrument to statistically measure business growth

The objective of this research is to design a questionnaire that allows measuring business growth in micro and small companies. The instrument was applied to 65 small and medium-sized companies through the analysis of the information collected, the main characteristics of the companies under study were determined and the growth factors that can be measured and evaluated and that are linked to the Business Growth. For this research the variables considered are the financial factor; measured by income, costs, profitability and investment, the technological factor; measured by adopting technology and updating systems, the competition factor; relationship with the environment, growth planning and competition in the market, the human resource factor measured by the specialization of human resources and growth of key employees, finally business growth, was measured through the number of employees, total assets and sales . The questionnaire was measured using a Likert-type scale with 5 response options. The hypothesis that this research is intended to test is that financial, technological, competition and human resource factors influence business growth. The research results show that the instrument is reliable according to the results of the pilot test, the constructs are statistically significant and therefore it is valid to test the hypothesis.

When Sino-American Struggle Disrupts the Supply Chain: Licensing Intellectual Property in a Changing Trade Environment

Through legislative changes, tariff wars, and executive actions, the Trump Administration has injected a new urgency into international technology and supply chain management, particularly between the United States and China. Analytically, the situation invites a perspective that links practical/on-the-ground responses by commercial actors in the politics of technological competition between superpowers, i.e. a discussion that bridges the gap between policy and process. This article therefore approaches management of supply chain disruption in terms of a key security issue motivating recent changes to the trade environment: the protection of intellectual property. After reviewing critical policy developments and trade statistics, we draw upon data on IP-intensive industries from global patent offices, trade classifications for products made by these IP-intensive industries, and concordance data on patent classifications to illustrate the centrality of IP to extended supply chains. With these key relationships in mind, we outline specific opportunities that intellectual property licensing provides for managing supply chain linkages between the United States and China in the current geopolitical environment. Viewing intellectual property as both a driver of and a solution to trade difficulties highlights the sorts of cross-jurisdictional nuances that can better inform policy and business decisions alike in the broader international trade regime.