‘Copyright Work and its Definition with Regard to Originality and AI’ – Conference Report on the Fourth Binational Seminar of TU Dresden and Charles University in Prague, 27 June 2019

2020 ◽  
Vol 69 (1) ◽  
pp. 39-45
Author(s):  
David Linke ◽  
David Petrlík

Abstract Bill Gates once wrote ‘I am in the camp that is concerned about super intelligence’ and positioned himself on the question of Artificial Intelligence.1 Mr Gates was, however, concerned about the future of AI in order to be able to supply not only intelligent but also exceptional products. Following the third binational seminar in November 2018 on the topic ‘Software and Artificial Intelligence – Old and New Challenges for Patent Law’,2 colleagues from the IGETeM, TU Dresden and Charles University in Prague met in Dresden on 27 June 2019 to focus on this question from the perspective of copyright. They also dealt with other current issues involving copyright, such as definition of work and the notion of originality.

Author(s):  
Robert S. Lehman

The Introduction examines three moments that have proven foundational for the fraught relationship between poetry and history. The first occurs in the fourth century B. C. in Aristotle’s Poetics, the earliest attempt to provide a systematic definition of the structure and effects of poetry and, consequently, the origin of all later crises of verse. The second appears in Marx’s Eighteenth Brumaire, a text that offers a complicated poetic response to a moment of crisis in Marx’s own historical method. The third appears in the early writings of Friedrich Nietzsche, where, against the onset of the nineteenth-century science of history, the demand to see history become poetry is made explicit. Focusing on these three moments, the Introduction establishes the intellectual-historical coordinates of the poetico-historical problem that T. S. Eliot and Walter Benjamin inherit.


Author(s):  
Lei Xing ◽  
Daniel S. Kapp ◽  
Maryellen L. Giger ◽  
James K. Min

2021 ◽  
pp. 377-380
Author(s):  
Lynn E. Long ◽  
Gregory A. Lang ◽  
Clive Kaiser

Abstract This chapter provides information on significant contribution of various advances in horticultural production technologies, including electronic sensing, autonomous orchard equipment, machine learning and artificial intelligence and robotics to future cherry production trends. New challenges due to invasive species, climate change and the ever unpredictable geopolitical landscape are also discussed.


Author(s):  
Lonias Ndlovu

Although the accounting definition of assets contemplates intangible, abstract assets such as those embodied in intellectual property (IP), South African company law largely views IP as a legal and not a business asset. This paper tentatively suggests an approach that uses artificial intelligence (AI) to mitigate weaknesses in the South African patent law relating to the absence of patent searches and examinations. It is hoped that using AI will enable the filing of quality patents that satisfy the prescribed patentability criteria. High-quality patents will allow companies to accumulate patents as corporate assets. The approach is based on the algorithmic use of AI technologies such as machine learning, natural language processing, deep learning alongside the Internet of Things, and IP analytics to strengthen South Africa’s IP system and create asset value for corporations. The paper recommends using the proposed AI technologies by companies and the Patents Office to enable the filing of high-quality patents, which will lead to the accumulation of corporate assets in the form of patents. The methodology is doctrinal, and the paper relies on recent literature on IP and AI, South African law, case law and examples drawn from studies conducted in other countries.


2020 ◽  
Vol 4 (2) ◽  
pp. 13-19
Author(s):  
Alexander E. Evstratov ◽  
Igor Yu. Guchenkov

The subject. Possible problems that may lead to further use of artificial intelligence, as well as ways to overcome them are studied. The purpose of the article is to identify the principles of the legal status of artificial intelligence. The methodology includes formal-logical method, systematic approach, formal-legal method, comparative method, analysis, synthesis. The main results of the research. The basic approaches to the definition of the concept of artificial intelligence are examined, specific examples are given, the problems that can cause the further use of artificial intelligence are analyzed. Artificial intelligence as a complex computing system is characterized by: variability in decision-making, a certain degree of autonomy when working, as well as the ability to take into account the experience gained from previously made decisions and use it to correct them. The challenges that are facing both the legislators and scientists are identified, such as: determining the status of artificial intelligence, responsibility for its actions and, accordingly, finding the most acceptable way to transform legislation governing the use of artificial intelligence. Conclusions. Artificial intelligence, due to both its novelty and certain functioning features, causes disagreement in the scientific community regarding the permissible limits of its application, its legal status, responsibility for the results of its activities, as well as on many other related issues. Today there is no unity of opinion even in relation to the definition of the term “artificial intelligence”, which is largely due to the previously mentioned features. Therefore, in a world of continuous scientific and technological progress, where artificial intelligence plays an increasing role, we should continue to study these technologies in order to: firstly, determine their role and place in the future of humanity; secondly, to define the permissible limits of the use of artificial intelligence in order not to harm individual people or groups of people; thirdly, based on an understanding of the nature and principles of artificial intelligence, transform legislation in such a way that it best meets the challenges, which legal scholars will have to face in the future.


2021 ◽  
pp. 90
Author(s):  
Ekaterina A. Sviridova

The article analyzes the issue of determining the author and patent holder of an invention created by artificial intelligence software. The problem of determining the authorship of objects of patent law created by artificial intelligence is considered from two sides: the definition of the author of an individual under the guidance and control of which artificial intelligence has achieved a patentable result, and the recognition of the status of the inventor for the artificial intelligence itself due to the creative nature of the inventive process. It is proved that the definition of the behavior of artificial intelligence by setting the problem and giving the necessary instructions for its solution leads to the recognition of the person giving such instructions as the inventor of the result, and artificial intelligence makes only a means to achieve the result. It is concluded that in order to recognize the author of artificial intelligence software as the inventor of the result developed by such artificial intelligence, it is not enough for the author to take an indirect part by "training" artificial intelligence algorithms and determining the identified errors in their work. The unpredictability and non-obviousness of the decision-making process by artificial intelligence for the programmer does not allow him to recognize the inventor of the results created by the software. At this stage of the development of artificial intelligence technology, the process of creating an invention by artificial intelligence is proposed to be considered as a revision of the parameters and characteristics existing in this field of technology, and the implementation of a choice from certain categories.


2017 ◽  
Vol 225 (3) ◽  
pp. 189-199 ◽  
Author(s):  
Tina B. Lonsdorf ◽  
Jan Richter

Abstract. As the criticism of the definition of the phenotype (i.e., clinical diagnosis) represents the major focus of the Research Domain Criteria (RDoC) initiative, it is somewhat surprising that discussions have not yet focused more on specific conceptual and procedural considerations of the suggested RDoC constructs, sub-constructs, and associated paradigms. We argue that we need more precise thinking as well as a conceptual and methodological discussion of RDoC domains and constructs, their interrelationships as well as their experimental operationalization and nomenclature. The present work is intended to start such a debate using fear conditioning as an example. Thereby, we aim to provide thought-provoking impulses on the role of fear conditioning in the age of RDoC as well as conceptual and methodological considerations and suggestions to guide RDoC-based fear conditioning research in the future.


2004 ◽  
Vol 34 (136) ◽  
pp. 455-468
Author(s):  
Hartwig Berger

The article discusses the future of mobility in the light of energy resources. Fossil fuel will not be available for a long time - not to mention its growing environmental and political conflicts. In analysing the potential of biofuel it is argued that the high demands of modern mobility can hardly be fulfilled in the future. Furthermore, the change into using biofuel will probably lead to increasing conflicts between the fuel market and the food market, as well as to conflicts with regional agricultural networks in the third world. Petrol imperialism might be replaced by bio imperialism. Therefore, mobility on a solar base pursues a double strategy of raising efficiency on the one hand and strongly reducing mobility itself on the other.


2018 ◽  
pp. 4-7
Author(s):  
S. I. Zenko

The article raises the problem of classification of the concepts of computer science and informatics studied at secondary school. The efficiency of creation of techniques of training of pupils in these concepts depends on its solution. The author proposes to consider classifications of the concepts of school informatics from four positions: on the cross-subject basis, the content lines of the educational subject "Informatics", the logical and structural interrelations and interactions of the studied concepts, the etymology of foreign-language and translated words in the definition of the concepts of informatics. As a result of the first classification general and special concepts are allocated; the second classification — inter-content and intra-content concepts; the third classification — stable (steady), expanding, key and auxiliary concepts; the fourth classification — concepts-nouns, conceptsverbs, concepts-adjectives and concepts — combinations of parts of speech.


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