Search results

1

Artificial Intelligence Methods in Spare Parts Demand Forecasting

100%

Rosienkiewicz M.

Logistics and Transport

|

2013

|

vol. 18

41-50

EN

The paper discusses the problem of forecasting lumpy demand which is typical for spare parts. Several prediction methods are presented in the article – traditional techniques based on time series and advanced methods that use Artificial Intelligence tools. The research conducted in the paper focuses on comparison of eight forecasting methods, including classical, hybrid and based on artificial neural networks. The aim of the paper is to assess the efficiency of lumpy demand forecasting methods that apply AI tools. The assessment is conducted by a comparison with traditional methods and it is based on Root Mean Square Errors (RMSE) and relative forecast errors (ex post) values. The article presents also a new approach to the lumpy demand forecasting issue – a method which combines regression modelling, information criteria and artificial neural networks.

2

USING NEURAL NETWORKS TO PREDICTION ON WARSAWS STOCK EXCHANGE

100%

Lichy K.

Information Systems in Management

|

2016

|

vol. 5

|

issue 4

508-519

EN

The paper describes an experiment consisting of the application of artificial intelligence algorithms in the processes of predicting the stock market. A special tool was developed to evaluate whether artificial neural networks can predict stock market behavior. The aim of this paper was also to test how neural networks tapping trivial and easily attainable input data perform in an environment which is both complex and difficult to predict.

3

Collective Work as an Inspiration for Legal Qualification of Computer-Generated Works – Comparative Analysis of the Institution from Polish and French Copyright Law Perspective

100%

Kowala M.

Review of European and Comparative Law

|

2021

|

vol. 45

|

issue 2

35-56

EN

The paper focuses on the question whether the institution of collective work could be used as an inspiration in order to regulate the legal situation of computer-generated works. Technological progress makes the creation of art by artificial intelligence with only minimal human participation an increasingly popular phenomenon. For this reason, world literature more and more often discusses how to legally qualify algorithmic creativity. An interesting idea, proposed in January 2020 by French Superior Council of Literary and Artistic Property is to regulate the issue alike the institution of a collective work. The study of the nature of computer-generated creativity on the example of the Endel musical start-up conducted in this paper will help to understand the complexity of the problem of algorithmic creativity. It will be also a valuable introduction to the analysis of the institution of collective work in Polish and French law. This comparative study will be important in the context of assessing the French proposals for the legal qualification of algorithmic creativity and examining to what extent the model of the collective work can be applied to computer-generated works in Polish copyright law.

4

The Minimum Intelligent Signal Test (MIST) as an Alternative to the Turing Test

88%

Łupkowski P., Jurowska P.

Diametros

|

2019

|

vol. 16

|

issue 59

35-47

EN

The aim of this paper is to present and discuss the issue of the adequacy of the Minimum Intelligent Signal Test (MIST) as an alternative to the Turing Test. MIST has been proposed by Chris McKinstry as a better alternative to Turing’s original idea. Two of the main claims about MIST are that (1) MIST questions exploit commonsense knowledge and as a result are expected to be easy to answer for human beings and difficult for computer programs; and that (2) the MIST design aims at eliminating the problem of the role of judges in the test. To discuss these design assumptions we will present Peter D. Turney’s PMI-IR algorithm which allows for MIST-type questions to be answered. We will also present and discuss the results of our own study aimed at the judge problem for MIST.

5

Predicting Future GDP Development by Means of Artificial Intelligence

88%

Jaromír V.

Littera Scripta

|

2016

|

issue 3

154-167

EN

GDP measures the monetary value of the total production of goods and services in a given country over a certain period of time. GDP establishes the economic performance of a country or region and is useful for comparing differences in the living standards of nations. In general, three methods exist for determining GDP, based on production, expenditure and income. In today's modern world, economists are looking for other appropriate and improved models for the management and prediction of all economic indicators. Artificial intelligence is among those methods that have gained in importance because of its very good predictive ability over conventional statistical and mathematical models. It consists of a time series, for example, but especially of artificial neural networks. This paper describes the known applications of artificial intelligence for the prediction of GDP and then applies neural networks to predict the GDP growth of Eurozone countries until the year 2025. The selected neural structures exhibit satisfactory numerical characteristics and are equivalent to expert evaluations of GDP development. They therefore appear to be a useful tool for predicting GDP.

6

Competition for High Politics in Cyberspace: Technological Conflicts Between China and the USA

88%

Val Sánchez K. V., Akyesilmen N.

Polish Political Science Yearbook

|

2021

|

issue 1 (50)

43-69

EN

This paper highlighted the use of cyberspace as a conflict zone by the US and China, focusing on competition in various technological spheres, including cyberespionage, military technology, and Artificial Intelligence (AI). The main purpose of this study was to depict how great powers manipulate the cyber domain for their high political objectives through US-China rivalry. The research has been carried out mainly via literature review, discourse analysis, and relevant statistics. Consistent with previous literature and global public perception, the outcome has shown that both states are using cyberspace as a new domain for completion in trade, technology, and military purposes. Cyberespionage, the militarization of cyberspace, and AI have been the main conflict areas between these two global competitors in the last decade.

7

Privacy frontiers in customers' relations with banks

88%

Piotrowski D.

Economics and Business Review

|

2023

|

vol. 9

|

issue 1

119-141

XX

The widespread use of digital technologies in banking allows banks to obtain and analyse huge amounts of data from different communication channels. While this phenomenon is conducive to improving the quality of services it also increases the risk of privacy breaches. The aim of this study is to identify what factors determine consumer acceptance of banks' use of public access personal data found on social media accounts. The results indicate the importance of the ifnancial incentive and consumers' assessment of banks' information activities regarding the processing of personal data. Determinants relating to the technological sophisti cation of respondents were also found to be significant, with a particular focus on the ethical evaluation of deci sions made by Arfticial Intelligence algorithms. The results of the work may be used by banks in practice to adapt the area of personal data management to the requirements of e-privacy and Trustworthy Artifcial Intelligence.

8

Artificial Intelligence in medicine – current status and implementation challenges

88%

Wojdan K., Moniuszko M.

Nauka

|

2022

|

issue 3

9

Artificial Intelligence - an agenda for management sciences

88%

Jarosz S.

e-mentor

|

2023

|

vol. 99

|

issue 2

47-55

EN

Nowadays, the need for digitisation and digitalisation of enterprises, as well as the use of solutions based on Artificial Intelligence (AI), are coming to the fore. The use of intelligent systems in organisations is not a strictly technical issue, and is also important in the management of modern enterprises. The aim of this article is to provide a theoretical analysis of the phenomenon of Artificial Intelligence in management sciences by means of a systematic review of the literature using Scopus database records. Bibliographic analysis of Artificial Intelligence in management sciences in this article points to this topic as something relatively new in the case of management sciences, although rapidly developing. As part of the bibliographic analysis we propose an agenda regarding the issue of AI in management sciences, consisting of thematic clusters related to technologies based on and complementary to AI, the goals of using AI in organisations, human-AI relations and issues related to ethics and sustainable development.

10

The students' and graduates' perception of the potential usefulness of Artificial Intelligence (AI) in the academic curricula of Finance and Accounting Courses

88%

Grabińska B., Andrzejewski M., Grabiński K.

e-mentor

|

2021

|

issue 5 (92)

16-25

EN

The application of computer-based technologies in academic education has at least three decades of history and experience. In some study fields, it has been present since the very beginning, while in others it has become a necessity only in recent years. The ongoing technological revolution is disrupting the traditional professions with fundamental changes and – in some cases – even with the threat of disappearance of jobs. The finance and accounting professions are expected to undergo a technological change in the near future. While the changes are visible at the corporate level, university education seems to lag one step behind. We conducted a study among the students and graduates of the finance and accounting line of studies at the Cracow University of Economics. Using regression analysis, we investigate the perception of the usefulness of courses providing knowledge on new technologies like Artificial Intelligence (AI). We use a unique Polish setting, which is a leader in terms of outsourcing services. Our findings show that both students and graduates are aware of the importance of technological change. The courses teaching basic subjects are essential, but the current expectations are much higher in terms of the application of new technology based on AI in finance and accounting.

11

Artificial Intelligence and Cybercrime in Nigeria: Towards an Ethical Framework

88%

Kanu I. A., Adidi D. T., Kanu C. C.

Dialogue and Universalism

|

2024

|

issue 1

207-221

EN

The rapid advancement of artificial intelligence has brought about significant positive changes across various sectors. However, it has also created new opportunities for cybercrime. Nigeria, in particular, has witnessed a surge in cybercriminal activities, which have had severe economic and social consequences. The paper explored the relationship between AI, cybercrime, and the underground business economy in Nigeria, focusing on the rise of fraud, identity theft, and hacking. It discussed the ethical implications of AI, cybercrime, and the underground business economy, highlighting potential risks to privacy, security, and social trust, while emphasizing the ethical responsibilities of AI developers, policymakers, and stakeholders in mitigating these risks and promoting responsible AI use. The Igwebuike ethical theoretical framework was employed for the evaluation of cybercrime, and the thematic and analytical methods of inquiry were used. The paper submits that there is need for an ethical response to the challenges posed by cybercrime in Nigeria.

12

Artificial Intelligence in Military Operations – Experiences and Challenges. The British Perspective

88%

Eble K.

Cybersecurity and Law

|

2024

|

vol. 11

|

issue 1

98-104

EN

This article touches on the issue of understanding and approach to the use of AI by the British army from the perspective of a representative of the British armed forces. The article will address the issues of tripartite division as to the essence of the problem today. This article was an excellent part of the author’s speech delivered during the international conference 2023 Warsaw Cyber Summit.

13

Why do Competition Authorities need Artificial Intelligence?

88%

Lorenzoni I.

Yearbook of Antitrust and Regulatory Studies

|

2022

|

vol. 15

|

issue 26

33-56

FR

Les récents développements technologiques transforment la manière don’t les règles de la concurrence sont appliquées et la manière dont les acteurs du marché enfreignent le droit de la concurrence. En conséquence, les autorités ont commencé à se doter d’outils d’investigation numériques sophistiqués. Cet article explore cet intérêt à construire un arsenal basé sur l’Intelligence Artificielle pour lutter contre les infractions algorithmiques. Quels sont les principaux facteurs qui motivent les autorités à développer leur propre équipement technologique pour faire respecter le droit de la concurrence ? En s’appuyant sur des entretiens avec certaines autorités de la concurrence, cet article constate que les changements survenus sur les marchés numériques, la nécessité d’appliquer la rétro-ingénierie aux algorithmes des entreprises afin de mieux comprendre leurs implications pour le droit de la concurrence, la nécessité d’améliorer l’efficacité et de suivre le rythme de l’évolution rapide de l’économie numérique, et enfin la diminution des demandes de clémence, sont autant de raisons pour lesquelles les autorités de concurrence devraient rechercher des moyens plus innovants et alternatifs pour dynamiser leurs enquêtes.

EN

Recent technological developments are transforming the way antitrust is enforced as well as the way market players are infringing competition law. As a result, enforcers are starting to equip themselves with sophisticated digital investigation tools. This paper explores this interest in building an Artificial Intelligence (AI) arsenal for the fight against algorithmic infringements. What are the key factors motivating regulators to develop their own technological tools to enforce competition law? Building on interviews with a number of competition authorities, this paper finds that changes in digital markets, the need for enforcers to reverseengineer companies’ algorithms in order to better understand their implications for competition law, the need to enhance efficiency and keep pace with the fast

14

A Scientist does not have to be Human?

75%

Szymborska D.

Zoon Politikon

|

2020

|

issue 11

353-366

EN

We, as humans appropriated science. A scientist is associated only with a human being. It doesn't have to stay that way. Non-protein scientists may appear sooner than expected. We will be challenged soon. A new legal and ethical code will be needed, and above all, a redefinition of the concepts of science and scientist seems to be urgent to formulate. The appearance of superintelligence and machines in science will mean the need to re-evaluate its operation. Let's start noticing the law of artificial intelligence (AI), to build inclusive science with machines.

15

Theoretical premises of the impact of artificial intelligence on the international relations and security

75%

Sajduk B., Kopcewicz G., Olszanecka N., Urbański D., Piechowiak-Lamparska J., Bryc A., Bojarczyk B., Jorgensen F. A. E., Niedziołka D., Pacześniak A., Potorski R., Wincławska M., Włodkowska-Bagan A., Jeran A., Mol A., Solsbery A., Dąbrowska I., Głodkowski M., Kopcewicz G., Olszanecka N., Piechowiak-Lamparska J.

The Copernicus Journal of Political Studies

|

2019

|

issue 2

EN

The article presents the role of artificial intelligence technology in shaping international security. This particular technology is an example of modern technological innovation that can exert a transformational effect on international relations by altering the capabilities of states (in Waltz’s terms) and thus the balance of power in the international system. The argumentation is divided into three sections. The first one focuses on the role technology plays in IR theory. The second one presents how artificial intelligence technology works and discusses its four key features for international security. The third section introduces Charles Weiss’ theoretical concept for rendering interactions between technology and the international system and uses this distinction to elaborate on how AI may influence international relations in the future.

16

Artificial Intelligence in Audit

75%

Karmańska A.

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu

|

2022

|

vol. 66

|

issue 4

87-99

PL

Celem artykułu jest wskazanie korzyści płynących z zastosowania sztucznej inteligencji (AI) w badaniu sprawozdań finansowych. Posłużono się kwestionariuszem ankiety. Próbą badawczą objęto 206 praktyków i studentów audytu i rachunkowości. Zastosowano analizę czynnikową metodą głównych składowych z rotacją Promax. Wyniki wskazują, że w opinii respondentów zastosowanie sztucznej inteligencji zwiększa efektywność audytu. Sztuczna inteligencja usprawnia komunikację i obsługę klienta. Ponadto AI może zautomatyzować czasochłonne i rutynowe zadania. Powyższe trzy czynniki odpowiadają za 62,223% wariancji. Wyniki badania wskazują na korzyści płynące z implementacji sztucznej inteligencji w audycie i mogą wspierać menedżerów we wdrażaniu nowych technologii w ich organizacjach. Ograniczeniem badawczym jest fakt, że badanie koncentruje się na respondentach jedynie z Polski.

EN

The main objective of this paper is to identify the benefits of applying the Artificial Intelligence (AI) in the audit sector. The study employed a questionnaire for a research sample including 206 auditing and accounting practitioners and students. Data were collected via an online survey. A principal axis factor analysis with the Promax rotation was conducted to assess the underlying structure for the points of the questionnaire. The research outcomes indicate that, in the opinion of the respondents, AI adoption increases audit efficiency, and enhances client communication and service. Finally, AI can also automate time-consuming and routine tasks. The three indicated factors account for 62.223% variance. The findings reveal the advantages of AI adoption and could support managers in deploying new technology in their organizations. The research limitation concerns the fact that this study focused only on respondents from Poland.

17

Machine Learning Based on Cloud Solutions

75%

CHMIELECKI P.

Edukacja-Technika-Informatyka

|

2019

|

vol. 10

|

issue 1

132-138

EN

Cognition is a domain of thinking creatures, isn't it? Based on that computers cannot learn anything more than was in the initial data feed. In this article, I just want to defend that nowadays technical solutions can break this rule. The aim of this article is to provide a short technical overview what Machine Learning (ML), Artificial Intelligence (AI) and Neural Networks (NN) were before in the area of standalone gigantic servers, and how do they look now in Cloud Computing (CC) times. The ML paradigm is not any more reserved for big enterprises only but now is available for single internet user. I just want to present AWS and Azure, as the biggest CC providers, functionalities and potential usage of such Cognitive Services (CS) in current internet services. The great example is for instance bot usage instead of diving deep in the FAQ on the company website or digging into the corporate wiki. Another big area is graphics analysis and sound or text recognition. Those are only examples of predefined CC functions ready for use right now in the public cloud.

18

Social Media in the Future: Under the Sign of Unicorn...

75%

Jarecka U., Fortuna P.

|

2022

|

vol. 21

|

issue 2

61-79

EN

In this essay case studies pointing to problems related to the use of AI in shaping the virtual world are discussed. AI algorithms helps to shape and control the conventional web behaviour and speech of today’s media users, mostly teenagers and adults. Considering the development of software, social media may constitute a separate virtual world in the future. AI also shapes the image of this world and human relationships. The essay begins with an analysis of the future of social media against the background of truth; later, case studies show problems caused by AI to media users and the community. The authors attempt to answer questions such as: What kind of attitudes and abilities will be shaped in social media? What network ethics does AI dictate? What kind of attitudes and thinking will be promoted in the social media of the future?

19

The Role of Personal Values in Forming the AI Ethics of Prospective Accountants

75%

Latifah L., Setiyani R., Arief S., Susilowati N.

Ethics in Progress

|

2023

|

vol. 14

|

issue 2

90-109

EN

This study aims to discuss how to form AI (Artificial Intelligence) ethical behavior with insight into the personal and organizational values of prospective accountants. This was a quantitative survey method. The sampling technique with a saturated sample was used as the research sample. Partial Least Square (PLS) analysis was conducted on 421 data points using WarpPLS software. The study results show that organizational and personal values significantly positively affect the intention of prospective accountant students to engage in AI ethics. Organizational values have a positive effect on the personal values of prospective accounting students. Intentions had a significant effect on AI ethics. Personal values did not play a role in mediating the impact of organizational values on intentions toward AI ethics. Intention succeeds in mediating the influence of personal values on the intention to engage in AI ethics among prospective accountant students. The findings referred to are very applicable to be implemented in different cultural settings due to the personal and organizational values tend to be implemented in general situation and condition. The findings provide universal outlook that values within organizations have an essential role in enhancing future accountants to be ethical in respect to AI.

20

CRIME IN THE TIME OF THE PLAGUE: FAKE NEWS PANDEMIC AND THE CHALLENGES TO LAW-ENFORCEMENT AND INTELLIGENCE COMMUNITY

63%

GRADOŃ K.

Society Register

|

2020

|

vol. 4

|

issue 2

133-148

EN

The Paper explores the problem of fake news and disinformation campaigns in the turmoil era of the COVID-19 coronavirus pandemic. The Author addresses the problem from the perspective of Crime Science, identifying the actual and potential impact of fake news propagation on both the social fabric and the work of the law-enforcement and security services. The Author covers various vectors of disinformation campaigns and offers the overview of challenges associated with the use of deep fakes and the abuse of Artificial Intelligence, Machine-, Deep- and Reinforcement-Learning technologies. The Paper provides the outline of preventive strategies that might be used to mitigate the consequences of fake news proliferation, including the introduction of counter-narratives and the use of AI as countermeasure available to the law-enforcement and public safety agencies. The Author also highlights other threats and forms of crime leveraging the pandemic crisis. As the Paper deals with the current and rapidly evolving phenomenon, it is based on qualitative research and uses the most up-to-date, reliable open-source information, including the Web-based material.

Refine search results

Artificial Intelligence Methods in Spare Parts Demand Forecasting

USING NEURAL NETWORKS TO PREDICTION ON WARSAWS STOCK EXCHANGE

Collective Work as an Inspiration for Legal Qualification of Computer-Generated Works – Comparative Analysis of the Institution from Polish and French Copyright Law Perspective

The Minimum Intelligent Signal Test (MIST) as an Alternative to the Turing Test

Predicting Future GDP Development by Means of Artificial Intelligence

Competition for High Politics in Cyberspace: Technological Conflicts Between China and the USA

Privacy frontiers in customers' relations with banks

Artificial Intelligence in medicine – current status and implementation challenges

Artificial Intelligence - an agenda for management sciences

The students' and graduates' perception of the potential usefulness of Artificial Intelligence (AI) in the academic curricula of Finance and Accounting Courses

Artificial Intelligence and Cybercrime in Nigeria: Towards an Ethical Framework

Artificial Intelligence in Military Operations – Experiences and Challenges. The British Perspective

Why do Competition Authorities need Artificial Intelligence?

A Scientist does not have to be Human?

Theoretical premises of the impact of artificial intelligence on the international relations and security

Artificial Intelligence in Audit

Machine Learning Based on Cloud Solutions

Social Media in the Future: Under the Sign of Unicorn...

The Role of Personal Values in Forming the AI Ethics of Prospective Accountants

CRIME IN THE TIME OF THE PLAGUE: FAKE NEWS PANDEMIC AND THE CHALLENGES TO LAW-ENFORCEMENT AND INTELLIGENCE COMMUNITY