scholarly journals A New Definition of “Artificial” for Two Artificial Sciences

2021 ◽  
Author(s):  
Francesco Bianchini
Keyword(s):  
Artificial Intelligence ◽  
Synthetic Biology ◽  
New Technologies ◽  
Point Of View ◽  
Theoretical Frameworks ◽  
Conceptual Issue ◽  
Clear Cut ◽  
Engineering Sciences ◽  
Close Relationship ◽  
Definition Of

AbstractIn this article, I deal with a conceptual issue concerning the framework of two special sciences: artificial intelligence and synthetic biology, i.e. the distinction between the natural and the artificial (a long-lasting topic of history of scientific though since the ancient philosophy). My claim is that the standard definition of the “artificial” is no longer useful to describe some present-day artificial sciences, as the boundary between the natural and the artificial is not so sharp and clear-cut as it was in the past. Artificial intelligence and synthetic biology, two disciplines with new technologies, new experimental methods, and new theoretical frameworks, all need a new, more specific, and refined definition of (the) “artificial”, which is also related to the use of the synthetic method to build real world entities and in open-ended (real or virtual) environments. The necessity of a new definition of the artificial is due to the close relationship of AI and synthetic biology with biology itself. They both are engineering sciences that are moving closer and closer, at least apparently, towards (natural) biology, although from different and opposite directions. I show how the new concept of the artificial is, therefore, the result of a new view on biology from an engineering and synthetic point of view, where the boundary between the natural and the artificial is far more blurred. From this, I try to formulate a brand-new, more useful definition for future understanding, practical, and epistemological purposes of these two artificial sciences.

Artificial intelligence: criminal and procedural aspects

2021 ◽  
pp. 75-89
Author(s):  
Igor I. Kartashov ◽  
Ivan I. Kartashov
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Human Beings ◽  
Criminal Proceedings ◽  
Legal Advice ◽  
Judicial Practice ◽  
Legal Expert ◽  
To Come ◽  
Definition Of ◽  
Self Learning

For millennia, mankind has dreamed of creating an artificial creature capable of thinking and acting “like human beings”. These dreams are gradually starting to come true. The trends in the development of modern so-ciety, taking into account the increasing level of its informatization, require the use of new technologies for information processing and assistance in de-cision-making. Expanding the boundaries of the use of artificial intelligence requires not only the establishment of ethical restrictions, but also gives rise to the need to promptly resolve legal problems, including criminal and proce-dural ones. This is primarily due to the emergence and spread of legal expert systems that predict the decision on a particular case, based on a variety of parameters. Based on a comprehensive study, we formulate a definition of artificial intelligence suitable for use in law. It is proposed to understand artificial intelligence as systems capable of interpreting the received data, making optimal decisions on their basis using self-learning (adaptation). The main directions of using artificial intelligence in criminal proceedings are: search and generalization of judicial practice; legal advice; preparation of formalized documents or statistical reports; forecasting court decisions; predictive jurisprudence. Despite the promise of using artificial intelligence, there are a number of problems associated with a low level of reliability in predicting rare events, self-excitation of the system, opacity of the algorithms and architecture used, etc.

Risk-oriented concept in philosophy of technique

2020 ◽  
pp. 3-21
Author(s):  
A.F. Bulat ◽  
◽  
T.V. Bunko ◽  
I.Ye. Kokoulin ◽  
V.V. Myroshnychenko ◽  
...  
Keyword(s):  
Point Of View ◽  
Accident Rate ◽  
Engineering Sciences ◽  
Human Thinking ◽  
Four Levels ◽  
Objective Uncertainty ◽  
Universal Definition ◽  
Definition Of ◽  
Object Of Control ◽  
Philosophical Understanding

In the article, the issues of terminology of technique philosophy related to the notions of a concept, a risk and an uncertainty are considered. It is noted that a concept in terms of philosophy is considered as a category of human thinking, of how a man being a subject perceives the environment: objects, processes, actions of other people. From philosophical point of view, a concept is characterized by four levels; "consciousness - authorial concept - concept of interpreter - collective consciousness". Definition of the levels can differ, but their sense remains unchanging. A concept is considerably wider than a notion and is syncretic by its content. Basic criterion, by which it is possible to distinguish between "a concept" and "a notion", is simple enough: if we can give a clear (of course, subjective) definition, then it is a notion, if we cannot – it is a concept. A concept becomes a notion when a subject has set it forth (authorial concept), listeners (readers) have interpreted it (interpreter concept), discussed and created a collective concept – after this the concept is formalized as notions. Good example of such chain of a concept transforming into totality of publicly-meaningful, clear and suitable for the practical use results is defending of a scientific dissertation. A risk is considered in philosophical understanding: it is impossible to formulate any universal definition for it as a risk is always subjective and inherent to a concrete participant of some technological or public process in concrete field. A risk should not be mixed up with an uncertainty, as a risk is a method for overcoming an uncertainty. A risk is a function of an uncertainty which does not have clear definition and can be estimated only partially. A risk relates to a subjective uncertainty only: an objective uncertainty should be only taken into account and cannot be an object of control as it cannot be diminished by way of experiments or analysis of statistics. A risk in philosophical understanding can be only a basis for further concretization by engineering sciences: there and only there it is possible to try (and it has been already partially realized) to work out methods for assessing a risk and use the obtained results for improving reliability of production and minimizing the accident rate.

The Knowledge Economy and Social Impact

2022 ◽  
pp. 85-90
Author(s):  
Fabian Koss ◽  
Giulia D'Amico
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Economy ◽  
Social Impact ◽  
New Technologies ◽  
Online Courses ◽  
The World ◽  
Definition Of ◽  
Google Search ◽  
Global Initiatives ◽  
Vision Care

There is not a one-size-fits-all definition of “social impact.” In fact, in a Google search for “What is social impact?” more than 400 results appear. This chapter will highlight global initiatives led by OneSight, an NGO that is utilizing new technologies to combat the vision care crisis, and CanopyLAB, a software company that has teamed up with over 120 NGOs around the world to create and provide online courses utilizing artificial intelligence.

scholarly journals Theoretical fundamentals of development of the innovation theory

2021 ◽  
Vol 2 (98) ◽  
pp. 232-244
Author(s):  
O. S. Tushkevych ◽  
Keyword(s):  
New Technologies ◽  
Innovation Process ◽  
Point Of View ◽  
Innovative Development ◽  
Innovation Theory ◽  
New Paradigm ◽  
Effective System ◽  
The Creation ◽  
Definition Of ◽  
Almost All

Theoretical aspects of innovation theory and its categorical apparatus are considered in the article. Development of ideas about the place and importance of innovation in the spread of innovative theories and approaches to the categories of "innovation" and "innovative development" are analyzed. Own reasoning is presented and own definition of investigated terms that based on the analysis is given. Knowing of theoretical essentials of innovations will enable to create an effective system of management of innovation processes at the enterprise. From this point of view it is expedient to consider the definitions of innovations and their classification. In given article, an author reveals the notions of innovation and innovation process that exist in economic literature by now, considers existing classifications of innovations. An author also gives his own classification of innovations, reveals his understanding of notion of innovation. Currently, the term "innovation" is found everywhere. It has become especially widespread in the sphere of production, although it is not limited to it and applies to almost all areas of human activity. The world and domestic economy form a new paradigm of development, which is based on the growing relationship between socio-economic development of society and new technologies, the global nature of the creation and use of research and development. The creation and implementation of innovations becomes the main internal factor and the key to uture economic growth. As world experience shows, the successful use of scientific and technological progress can significantly affect the course of economic processes and significantly accelerate them. The term "innovative development" consists of two categories – "innovation" and "development". As they are widely used in almost all fields of knowledge and areas of activity, they do not have an unambiguous definition and are the subject of research by domestic and foreign scientists of various profiles.

scholarly journals Integrated Analysis of Terms from a Cognitive Point of View (Based on the Terminology of Photonic Crystals)

2020 ◽  
Vol 22 (3) ◽  
pp. 841-848
Author(s):  
V. O. Kuleshova
Keyword(s):  
Photonic Crystals ◽  
Semantic Analysis ◽  
Structural Model ◽  
Point Of View ◽  
Integrated Analysis ◽  
Cognitive Approach ◽  
General Terms ◽  
The World ◽  
Close Relationship ◽  
Definition Of

The article proposes a comprehensive methodology approach to terminological systems. The methodology involves several stages. The first one involves a semantic analysis. Then follows a structural model of the terminology in question based on the logical connections between objects and processes of a certain special field and their reflection in the professional language. Finally, the researcher discloses the pragmatic potential of terminology units and demonstrates their role in determining the position of the terminological system in the scientific view of the world. The research objective was to describe and apply this approach to the analysis of the terminology of photonic crystals. The study featured the terminology of photonic crystals. The terms were selected from several scientific books. The author employed the following methods: the method of semantic analysis, a cognitive approach to describing the structure of the terminology, and contextual analysis. The author revealed a close relationship between the internal form of the term and the sign. Understanding the internal form of the term makes it possible to determine the place of the term in the terminology, which guarantees it correct interpretation and use. The article introduces a convolved model of the terminological structure of photonic crystals and explains how the terms are organized within the terminological system and how the terminological system can be embedded in the scientific view of the world. The author highlighted the role of general terms in integrating terminological systems into the scientific view of the world and in the relationship between different terminological systems. The most accurate definition of the boundaries of the terminology is possible only in the context where the term can fully exercise its meaning.

scholarly journals Towards Ethics in Information Systems

2021 ◽  
Vol 12 (1) ◽  
pp. 69-82
Author(s):  
Flávia Maria Santoro ◽  
Rosa Maria E. Moreira da Costa
Keyword(s):  
Information Systems ◽  
New Technologies ◽  
Philosophy Of Technology ◽  
Theoretical Foundation ◽  
Transformation Process ◽  
Point Of View ◽  
Contemporary World ◽  
Negative Impacts ◽  
Definition Of ◽  
Almost All

Information Systems (IS) plays an essential role in shaping almost all sectors of society, such as, commerce, politics, services, entertainment, information, relationships, among others. Digital technologies have enabled a new dimension of products, transmission, storage, and access to information. The outcome of this whole transformation process is intended to provide improvement and facilitating the lives and practices of individuals in society. However, we have also to face its negative impacts. We argue that situations involving both the design and the adoption or use of IS should be analyzed from the point of view of Ethics through a well-defined process that might help the professional and/or the citizen in making decisions in sensitive contexts when conceptual conflicts show up. To justify the definition of this process, we discuss the significance of the new technologies based on Andrew Feenberg's Philosophy of Technology. Grounded on this theory, we highlight the benefits and problems of the new technologies in the contemporary world. Finally, we present the process proposal and analyze the results of its application in the context of two well-known real cases and discuss the results in light of the theoretical foundation.

scholarly journals Combining Big Data and Artificial Intelligence for Managing Collective Knowledge in Unpredictable Environment—Insights from the Chinese Case in Facing COVID-19

2020 ◽  
Author(s):  
Francesca Iandolo ◽  
Francesca Loia ◽  
Irene Fulco ◽  
Chiara Nespoli ◽  
Francesco Caputo
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Knowledge Management ◽  
Business Models ◽  
New Technologies ◽  
Human Machine Interaction ◽  
Decision Making Processes ◽  
Unpredictable Environment ◽  
Definition Of ◽  
Machine Interaction

AbstractThe increasing fluidity of social and business configurations made possible by the opportunities provided by the World Wide Web and the new technologies is questioning the validity of consolidated business models and managerial approaches. New rules are emerging and multiple changes are required to both individuals and organizations engaged in dynamic and unpredictable paths.In such a scenario, the paper aims at describing the potential role of big data and artificial intelligence in the path toward a collective approach to knowledge management. Thanks to the interpretative lens provided by systems thinking, a framework able to explain human-machine interaction is depicted and its contribution to the definition of a collective approach to knowledge management in unpredictable environment is traced.Reflections herein are briefly discussed with reference to the Chinese governmental approach for managing COVID-19 spread to emphasise the support that a technology-based collective approach to knowledge management can provide to decision-making processes in unpredictable environments.

scholarly journals In Search of a Unifying Concept in Human Diseases

Diseases ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 68
Author(s):  
James Trosko
Keyword(s):  
Artificial Intelligence ◽  
Precision Medicine ◽  
New Technologies ◽  
Genome Project ◽  
Human Diseases ◽  
Therapeutic Benefits ◽  
History Of ◽  
Biological Discovery ◽  
Definition Of ◽  
The Human Genome Project

Throughout the history of biological/medicine sciences, there has been opposing strategies to find solutions to complex human disease problems. Both empirical and deductive approaches have led to major insights and concepts that have led to practical preventive and therapeutic benefits for the human population. The classic definitions of “science” (to know) has been paired with the classic definition of technology (to do). One knew more as the technology developed, and that development was often based on science. In other words, one could do more if science could improve the technology. In turn, this made possible to know more science with improved technology. However, with the development of new technologies of today in biology and medicine, major advances have been made, such as the information from the Human Genome Project, genetic engineering techniques and the use of bioinformatic uses of sophisticated computer analyses. This has led to the renewed idea that Precision Medicine, while raising some serious ethical concerns, also raises the expectation of improved potential of risk predictions for prevention and treatment of various genetically and environmentally influenced human diseases. This new field Artificial Intelligence, as a major handmaiden to Precision Medicine, is significantly altering the fundamental means of biological discovery. However, can today’s fundamental premise of “Artificial Intelligence”, based on identifying DNA, as the primary nexus of human health and disease, provide the practical solutions to complex human diseases that involve the interaction of those genes with the broad spectrum of “environmental factors”? Will it be “precise” enough to provide practical solutions for prevention and treatments of diseases? In this “Commentary”, with the example of human carcinogenesis, it will be challenged that, without the integration of mechanistic and hypothesis-driven approaches with the “unbiased” empirical analyses of large numbers of data, the Artificial Intelligence approach with fall short.

scholarly journals On the legal status of the “art” of the artificial intelligence

Pravovedenie ◽  
2018 ◽  
Vol 62 (3) ◽  
pp. 531-540
Author(s):  
Viktor B. Naumov ◽  
◽  
Ekaterina V. Tytjuk ◽  
Keyword(s):  
Artificial Intelligence ◽  
Legal Status ◽  
Legal Protection ◽  
Point Of View ◽  
Domain Model ◽  
Working Process ◽  
Work Of Art ◽  
Legal Doctrine ◽  
Advantages And Disadvantages ◽  
Definition Of

The article is dedicated to the issues of protection of artworks, created by the artificial intelligence or with the help of artificial intelligence. The authors of the article analyze the term “artificial intelligence” from the perspective of technologies, legal doctrine and legislation and provide critical comparison of these definitions, basing on which stipulate several key criteria of the definition of artificial intelligence. The article also describe basic principles of the working process of the artificial intelligence systems. Basing on the key criteria, provided as a result of the analysis of the existing definitions of the “artificial intelligence”, the authors generate their own definition of this term. The article also provides detailed analysis of the term “creativity” from the perspective of the objective and subjective approaches. The analysis includes comparison of the process of the creation of the work of art by the human and by the artificial intelligence. The authors question whether it is possible in principle to apply the term “work of art” to the objects created by the artificial intelligence. According to the authors’ point of view, current level of the artificial intelligence technologies does not provide any possibility to apply the term “creativity” to artificial intelligence as the model of the working process of the artificial intelligence is based ultimately on the mathematical algorithms. According to the article, this mean that the objects created by the artificial intelligence or with the help of it do not meet traditional requirements of creativity. The article provide several potential regulation models for the objects created by the artificial intelligence or with the help of it. These models can be broken down as follows: no legal protection is required, public domain model, protection under information law, protection as know-how objects, protection as intellectual property objects. The authors of the article provide comparative analysis of the above-mentioned models of protection, the advantages and disadvantages of each model, give their opinion on the existing and potential legislative initiatives in the sphere of artificial intelligence regulation.

Privacy Concerns and Networks of Communication among Classmates

2014 ◽  
Vol 5 (2) ◽  
pp. 61-81
Author(s):  
Francesca Odella
Keyword(s):  
Communication Networks ◽  
New Technologies ◽  
Personal Data ◽  
Research Process ◽  
Psychological Research ◽  
Point Of View ◽  
Network Data ◽  
Individual Perception ◽  
Definition Of ◽  
The Individual

The collection of network data referring to social interactions is among the topic more significant and interesting in the research process. Most of the advancements in this area benefit from the introduction of new technologies and the improvement of techniques for the collection and retrieval of data. The collection of information concerning multiple dimensions of personal interactions and the treatment of personal data, however, may pose privacy and ethical problems. In particular, the operative definition of privacy has been attempted in social and psychological research in the form of multi-dimensional indicators and variables referring to the individual perception of sensitivity and confidentiality of information. Recently, however, some attempts have been done to define privacy from a relational point of view using concepts and structural properties from social network analysis. The paper addresses this debate and by means of empirical network data on communication networks discuss the issue of privacy in network data collection and analysis.

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