Artificial Ethology and Computational Neuroethology: A Scientific Discipline and Its Subset by Sharpening and Extending the Definition of Artificial Intelligence

1990 ◽  
Vol 33 (3) ◽  
pp. 379-390 ◽  
Author(s):  
Theodore B. Achacoso ◽  
William S. Yamamoto
Keyword(s):  
Artificial Intelligence ◽  
Scientific Discipline ◽  
Definition Of ◽  
Computational Neuroethology

Attitudes of Medical Workers Toward Artificial Intelligence in Ophthalmology: A Comparative Survey (Preprint)

2020 ◽  
Author(s):  
Weihua Yang ◽  
Bo Zheng ◽  
Maonian Wu ◽  
Shaojun Zhu ◽  
Hongxia Zhou ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Ethics ◽  
Online Survey ◽  
Medical Professionals ◽  
Medical Field ◽  
Acceptance Level ◽  
Professional Workers ◽  
Basic Understanding ◽  
Comparative Survey ◽  
Definition Of

BACKGROUND Artificial intelligence (AI) is widely applied in the medical field, especially in ophthalmology. In the development of ophthalmic artificial intelligence, some problems worthy of attention have gradually emerged, among which the ophthalmic AI-related recognition issues are particularly prominent. That is to say, currently, there is a lack of research into people's familiarity with and their attitudes toward ophthalmic AI. OBJECTIVE This survey aims to assess medical workers’ and other professional technicians’ familiarity with AI, as well as their attitudes toward and concerns of ophthalmic AI. METHODS An electronic questionnaire was designed through the Questionnaire Star APP, an online survey software and questionnaire tool, and was sent to relevant professional workers through Wechat, China’s version of Facebook or WhatsApp. The participation was based on a voluntary and anonymous principle. The questionnaire mainly consisted of four parts, namely the participant’s background, the participant's basic understanding of AI, the participant's attitude toward AI, and the participant's concerns about AI. A total of 562 participants were counted, with 562 valid questionnaires returned. The results of the questionnaires are displayed in an Excel 2003 form. RESULTS A total of 562 professional workers completed the questionnaire, of whom 291 were medical workers and 271 were other professional technicians. About 37.9% of the participants understood AI, and 31.67% understood ophthalmic AI. The percentages of people who understood ophthalmic AI among medical workers and other professional technicians were about 42.61% and 15.6%, respectively. About 66.01% of the participants thought that ophthalmic AI would partly replace doctors, with about 59.07% still having a relatively high acceptance level of ophthalmic AI. Meanwhile, among those with ophthalmic AI application experiences (30.6%), respectively about 84.25% of medical professionals and 73.33% of other professional technicians held a full acceptance attitude toward ophthalmic AI. The participants expressed concerns that ophthalmic AI might bring about issues such as the unclear definition of medical responsibilities, the difficulty of ensuring service quality, and the medical ethics risks. And among the medical workers and other professional technicians who understood ophthalmic AI, 98.39%, and 95.24%, respectively, said that there was a need to increase the study of medical ethics issues in the ophthalmic AI field. CONCLUSIONS Analysis of the questionnaire results shows that the medical workers have a higher understanding level of ophthalmic AI than other professional technicians, making it necessary to popularize ophthalmic AI education among other professional technicians. Most of the participants did not have any experience in ophthalmic AI, but generally had a relatively high acceptance level of ophthalmic AI, believing that doctors would partly be replaced by it and that there was a need to strengthen research into medical ethics issues of the field.

Europe

2020 ◽  
pp. 649-666
Author(s):  
Andrea Renda
Keyword(s):  
Artificial Intelligence ◽  
Digital Technology ◽  
Policy Framework ◽  
Expert Group ◽  
Ethical Guidelines ◽  
Ethical Implications ◽  
Strong Focus ◽  
Ethics Guidelines ◽  
Definition Of ◽  
High Level

This chapter assesses Europe’s efforts in developing a full-fledged strategy on the human and ethical implications of artificial intelligence (AI). The strong focus on ethics in the European Union’s AI strategy should be seen in the context of an overall strategy that aims at protecting citizens and civil society from abuses of digital technology but also as part of a competitiveness-oriented strategy aimed at raising the standards for access to Europe’s wealthy Single Market. In this context, one of the most peculiar steps in the European Union’s strategy was the creation of an independent High-Level Expert Group on AI (AI HLEG), accompanied by the launch of an AI Alliance, which quickly attracted several hundred participants. The AI HLEG, a multistakeholder group including fifty-two experts, was tasked with the definition of Ethics Guidelines as well as with the formulation of “Policy and Investment Recommendations.” With the advice of the AI HLEG, the European Commission put forward ethical guidelines for Trustworthy AI—which are now paving the way for a comprehensive, risk-based policy framework.

PATENT PROTECTION OF SCIENTIFIC RESULTS AND ARTIFICIAL INTELLIGENCE: PROBLEMS AND CHALLENGES

2020 ◽  
pp. 36-43
Author(s):  
Daria Ponomareva ◽  
◽  
Alexander Barabashev ◽  
Keyword(s):  
Artificial Intelligence ◽  
Patent Protection ◽  
Legal Status ◽  
Legal Regulation ◽  
Scientific Activity ◽  
Foreign Law ◽  
Scientific Results ◽  
Will Force ◽  
Definition Of ◽  
Artificial Intelligence Systems

This article is devoted to the legal problems associated with the provision of patent protection for the results of scientific activities created by artificial intelligence systems. The authors explore the approaches formulated by doctrine and practice in relation to objects created by robotic systems, computer technology and AI. The problem of the relationship between patent protection of the results of scientific (scientific and technical) activities and artificial intelligence systems is becoming more and more urgent. Modern AI systems are quite capable of creating inventions that are the result of the application (use) of the cognitive (thinking) abilities of a person, that is, such inventions can be patentable. There is no doubt that the increasingly active introduction of AI systems will force national legislators to reconsider the definition of the term “inventor.” In Russian legislation, the issue of patent protection of inventions created by AI is currently not resolved. The review of the state of legal regulation of patent protection of the results of scientific activity (first of all, inventions) created by AI systems, presented in the article, indicates the absence of clear rules both in Russian and foreign law (using the example of individual jurisdictions) regarding the determination of the legal status of this kind. objects and the person who has exclusive rights in relation to them. The use of already existing legal constructions by analogy, as well as the borrowing of foreign experience, can only temporarily solve the issue of patent protection of the results of scientific activity created with the help of AI.

DEEPFAKE AS A PHENOMENON OF POLITICAL COMMUNICATION

2021 ◽  
Vol 27 (6) ◽  
pp. 101-106
Author(s):  
М. Falaleev ◽  
◽  
N. Sitdikova ◽  
Е. Nechay ◽  
◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Political Communication ◽  
Political Discourse ◽  
Rapid Development ◽  
Theoretical Data ◽  
Practical Significance ◽  
Subject Field ◽  
Learning Programs ◽  
Definition Of ◽  
The Impact

The development of digital technologies, coupled with progress in the development of self-learning programs based on AI (Artificial Intelligence), has obvious advantages in improving the effectiveness of information impact on people around the world. During the 2010s, researchers have documented trends in the use of artificial intelligence for the construction and distribution of media content to indirectly manipulate political discourse at the national and global levels. Special interest in the context of this issue is how the rapid development of AI technologies affects political communication. The object of consideration within the framework of this article is the deepfake technology. Based on this, as a subject, the authors define deepfake as a phenomenon of modern political communication. Accordingly, the purpose of the study is to describe and predict the impact of deepfake technology on political communication at the global and national levels. The paper presents the definition of deepfake, assesses its characteristics depending on the methods and purposes of its distribution, and analyzes the prospects for using this tool to influence political discourse in modern Russia. To study the subject field of the research, methods of systematizing theoretical data, classification, analysis of a set of factors and forecasting have been applied. The practical significance of the work is presented by the authors’ definition and typology of the phenomenon of deepfake and describes its significance as a factor of political communication on the example of a particular country. The results of the work will be useful for researchers studying the problems of digitalization of the media space and modern means of disinformation in politics, both at the local and global levels

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.

scholarly journals How Companies are Applying AI to the Business Strategy Formulation

2019 ◽  
Vol 5 (8) ◽  
pp. 77
Author(s):  
M S S El Namaki
Keyword(s):  
Artificial Intelligence ◽  
Conceptual Framework ◽  
Business Strategy ◽  
Fundamental Change ◽  
Strategy Formulation ◽  
Strategic Behaviour ◽  
Substantial Progress ◽  
Competitive Behaviour ◽  
Definition Of ◽  
Market Strategies

Computing equipment capable of what one may term partial and quasi-intelligent behaviour, commonly referred to as Artificial Intelligence (AI), is assuming a key role in business. The probability is high that this Artificial Intelligence (AI) will lead to a fundamental change in the process of business strategy formulation as much as the very contents of this strategic behaviour. Product and market strategies and the resultant competitive behaviour will, more likely than not, be the outcome of those artificial intelligence processes and reiterations. A start is made and one can observe substantial progress in this direction. Who has done it and is there a conceptual framework behind this strategic behaviour? This will be the focus of this article The article starts with a brief definition of artificial intelligence and a basic framework of the concept. Seven case studies follow supporting the hypothesis that AI is penetrating the business strategy arena and leading to a fundamental change in the concept as much as the application. Those cases were drawn from different industries, and countries. A conceptual framework is accordingly derived and positioning of those case companies within this conceptual framework is done. The article is based on contemporary frameworks of AI and the cases are drawn from contemporary analysis of strategic behaviour. The conceptual model could provide an instrument for business AI application.

scholarly journals The algorithm and the flow: Netflix, machine learning and recommendation algorithms

Intexto ◽  
2019 ◽  
pp. 166-184
Author(s):  
João Damasceno Martins Ladeira
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Recommendation System ◽  
Cultural Impact ◽  
Recommendation Algorithms ◽  
Definition Of

This article discusses the Netflix recommendation system, expecting to understand these techniques as a part of the contemporary strategies for the reorganization of television and audiovisual. It renders problematic a technology indispensable to these suggestions: the tools for artificial intelligence, expecting to infer questions of cultural impact inscribed in this technique. These recommendations will be analyzed in their relationship with the formerly decisive form for the constitution of broadcast: the television flow. The text investigates the meaning such influential tools at the definition of a television based on the manipulation of collections, and not in the predetermined programming, decided previously to the transmission of content. The conclusion explores the consequences of these archives, which concedes to the user a sensation of choice in tension with the mechanical character of those images.

scholarly journals STATE CADASTRAL ASSESSMENT OF REAL ESTATE AND NATURAL RESOURCES IN THE DIGITAL ECONOMY OF RUSSIA (DEFINITION OF ECONOMIC STANDARDS FOR THE RATIONAL USE OF REAL ESTATE PROPERTIES AND NATURAL RESOURCES)

2021 ◽  
Vol 3 (1) ◽  
pp. 269-276
Author(s):  
Alexander D. Vlasov
Keyword(s):  
Artificial Intelligence ◽  
Real Estate ◽  
Natural Resources ◽  
Digital Economy ◽  
Rational Use ◽  
Definition Of ◽  
Organizational Problems

Methodological and organizational problems of accounting, appraisal of real estate objects and natural resources of Russia are posed. The technology of accounting and determination of economic standards for the rational use of real estate and natural resources in the digital economy of Russia based on artificial intelligence is proposed.

On techniques of expert systems on the example of the Akinator program

2020 ◽  
Vol 25 (2) ◽  
pp. 7-13
Author(s):  
Zhangozha A.R. ◽  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Neural Networks ◽  
Expert Systems ◽  
Knowledge Base ◽  
Hybrid Systems ◽  
Online Game ◽  
Basic Principles ◽  
The Moment ◽  
Definition Of

On the example of the online game Akinator, the basic principles on which programs of this type are built are considered. Effective technics have been proposed by which artificial intelligence systems can build logical inferences that allow to identify an unknown subject from its description (predicate). To confirm the considered hypotheses, the terminological analysis of definition of the program "Akinator" offered by the author is carried out. Starting from the assumptions given by the author's definition, the article complements their definitions presented by other researchers and analyzes their constituent theses. Finally, some proposals are made for the next steps in improving the program. The Akinator program, at one time, became one of the most famous online games using artificial intelligence. And although this was not directly stated, it was clear to the experts in the field of artificial intelligence that the program uses the techniques of expert systems and is built on inference rules. At the moment, expert systems have lost their positions in comparison with the direction of neural networks in the field of artificial intelligence, however, in the case considered in the article, we are talking about techniques using both directions – hybrid systems. Games for filling semantics interact with the user, expanding their semantic base (knowledge base) and use certain strategies to achieve the best result. The playful form of such semantics filling programs is beneficial for researchers by involving a large number of players. The article examines the techniques used by the Akinator program, and also suggests possible modifications to it in the future. This study, first of all, focuses on how the knowledge base of the Akinator program is built, it consists of incomplete sets, which can be filled and adjusted as a result of further iterations of the program launches. It is important to note our assumption that the order of questions used by the program during the game plays a key role, because it determines its strategy. It was identified that the program is guided by the principles of nonmonotonic logic – the assumptions constructed by the program are not final and can be rejected by it during the game. The three main approaches to acquisite semantics proposed by Jakub Šimko and Mária Bieliková are considered, namely, expert work, crowdsourcing and machine learning. Paying attention to machine learning, the Akinator program using machine learning to build an effective strategy in the game presents a class of hybrid systems that combine the principles of two main areas in artificial intelligence programs – expert systems and neural networks.

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.

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