Dangers Of Artificial Intelligence Research Articles

AI in education risk assessment mechanism analysis

ABSTRACT Artificial intelligence (AI) has had a significant impact on several sectors and fields. Failure Modes and Effects Analysis (FMEA) is a powerful risk management and prevention tool that can help companies identify and address any weaknesses in their practices. The Risk Priority Number (RPN) approach has been criticized for its flaws since it calculates the product of severity, occurrence, and detection ratings of threats. By considering a variety of criteria and aspects, and by thoughtfully and carefully combining expert perspectives, the proposed FMEA model may more accurately evaluate the risks associated with AI in Education. Picture Fuzzy Sets (PFSs) and Grey Relational Analysis-TOPSIS (GRA-TOPSIS) are combined to achieve this. The goal of this research is to use an updated FMEA model to assess and rank the risk hierarchy of the seven identified hazards. According to the data, algorithmic risk is the most significant issue that requires urgent attention. Relevant constraints and suggestions are also provided to encourage research on the dangers of AI in Education. Suggestions include creating a national or international regulatory authority to control the use of artificial intelligence in education, promoting the use of the FMEA technique as a common framework for assessing the risks connected to AI in Education.

Exploring Totalitarian Elements of Artificial Intelligence in Higher Education With Hannah Arendt

From the perspective of political philosophy, this article examines the extent to which artificial intelligence (AI) applications in higher education contain totalitarian elements. Drawing on the theoretical considerations of Hannah Arendt, the author first identifies the key characteristics of total domination and then relates these to two AI applications in the field of higher education: adaptive learning systems and AI-based text generators. On this basis, the article elaborates on the similarities between concrete AI technologies and totalitarian structures. Finally, the author formulates questions that can be used to examine if concrete AI applications exhibit totalitarian traits. The aim of this theoretical contribution is to provide a perspective that will help to identify new dangers of AI or to see already known dangers in a new light, leading to a deeper and broader discourse on the consequences of AI.

First-year nursing students’ attitudes towards artificial intelligence: Cross-sectional multi-center study

AimTo assess the attitudes of nursing students toward artificial intelligence. BackgroundPossible applications of artificial intelligence-powered systems in nursing cover all aspects of nursing care, from patient care to risk management. Although the final acceptance of artificial intelligence in practice will depend on positive 'nurses' attitudes toward artificial intelligence, those attitudes have gained little attention so far. DesignA cross-sectional multicenter study. MethodsThe study was performed at nursing schools of four Croatian universities, surveying a total of 336 first-year nursing students (response rate 69.7%) enrolled in 2021. A validated instrument, the General Attitudes towards Artificial Intelligence Scale, consisting of 20 Likert-type items, was chosen for the study. Where applicable, the items were contextualized for nursing. Four sub-scales were identified based on the outcomes of the factor analysis. ResultsThe average attitude score was (mean ± standard deviation) 64.5 ± 11.7, out of a maximum of 100, which was significantly higher than the neutral score of 60.0 (p < 0.001). The attitude towards AI did not differ across the universities and was not associated with students’ age. Male students scored slightly higher than their female colleagues. Scores on subscales “Benefits of artificial intelligence in nursing”, “Willingness to use artificial intelligence in nursing practice”, and “Dangers of artificial intelligence” were favorable of artificial intelligence-based solutions. However, scores on the subscale “Practical advantages of artificial intelligence” were somewhat unfavorable. ConclusionsFirst-year nursing students had slightly positive attitudes towards artificial intelligence in nursing, which should make it easier for the new generations of nurses to embrace and implement artificial intelligence systems. Reservations about artificial intelligence in daily nursing practice indicate that nursing students might benefit from education focused specifically on applications of artificial intelligence in nursing.

Artificial Intelligence and Health Care: What's to Worry?

Artificial Intelligence and Health Care: What's to Worry?

The Benefits and Dangers of Artificial Intelligence in Healthcare Research Writing

Artificial intelligence (AI) is being used in a variety of ways to improve healthcare research. AI algorithms can be used to analyze large amounts of medical data, such as patient records and clinical trial results, to identify trends and patterns that can help researchers better understand diseases and develop new treatments.

Artificial intelligence and human rights: What is the EU’s approach?

Threats posed to human rights by the rapid development of artificial intelligence (AI) are considered, along with some potential legal mitigations. The active efforts of the EU in the field of AI regulation seem particularly relevant for research considering its approach centred on citizens’ rights. Thus, the present study aims to describe the key features of the EU approach to regulating AI in the context of human rights protection, as well as identifying both its achievements and deficiencies, and proposing improvements to existing provisions. The presented analysis of the proposed AI Act pays special attention to provisions that set out to eliminate or mitigate the main risks and dangers of AI. The currently intensive development of AI regulation in the EU (the Presidency Compromise Text presented by the Council of the EU, amendments of the European Committee of the Regions, opinions of interested parties and human rights organisations, etc.) makes this study especially timely due to its highlighting of problematic aspects. The analysis shows that, on closer examination, the proposed law leaves many sensitive and controversial issues unsettled. In the context of AI applications, the proposed solution is considered as an emergency measure in order to rapidly integrate purportedly trustworthy AI into human society. As a result of the analysis, the authors propose potential improvements to the AI Act, including the possibility to update the lists of all types of AI, clarify the concept of transparency and eliminate the self-assessment procedure. It is also necessary to consider the potential reclassification of some AI systems currently defined as presenting limited risk as systems presenting considerable risk or prohibited systems.

К вопросу о презумпции опасности искусственного интеллекта

In this article, the author draws attention to the potential danger posed by the development and use of artificial intelligence, and considers it necessary to minimize this danger by legal means. He gives reflections on the expediency of recognizing the presumption of the danger of artificial intelligence. In his opinion, the legal significance of this presumption lies in the fact that it will entail the creation of additional guarantees for the realization of the rights and legitimate interests of citizens in the context of the operation of potentially dangerous technologies. The author proposes to consolidate the presumption under consideration by amending the current legislation.

Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence

Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence

Искусственный интеллект в исследованиях сознания и общественной жизни (к 70-летию статьи А. Тьюринга «Вычислительные машины и разум») (материалы круглого стола)

The article contains the papers of the “round table” discussion that was held at the Depart­ment of Philosophy of the State Academic University for the Humanities on October 30th 2020. The “round table” was dedicated to the 70-years anniversary of the publication of Alan Turing’s famous paper “Computing Machinery and Intelligence” (1950). The speakers have discussed the role of the artificial intelligence research in understanding of human con­sciousness and natural intelligence, the possibilities and dangers of artificial intelligence in­troduction in different spheres of modern life – education, political activity, social communi­cations. The importance of the new philosophical analysis of the Turing’s paper considering new digital challenges and artificial intellectual systems development was demonstrated.

Definition of artificial intelligence in the context of the Russian legal system: a critical approach

The article addresses the normative definition of artificial intelligence as provided in the Russian legislation by 2021 in the context of general approach to this term. Authors identify principal legally significant features of artificial intelligence that include autonomy of functioning (complete or relative), the ability to find solutions (including without predetermined algorithms) and “inorganic” nature that imply – strictly from formal legal, and not factual, perspective – potential risk and, subsequently, potential danger of artificial intelligence to be understood in formalized legal sense. The authors take into consideration examples of approaches to defining the term in the world, raise criticism of the existing definition and suggest more concise approach based on defining artificial intelligence as an information system (in formal legal sense) which provides the function of forming algorithms for solving problems different from those laid down by the system developers, including artificial neural network

Роботы, цифровые двойники человека, модели диалектики социума и экономики

Current mathematical models of economics practically do not take into account the human factor when making management decisions and applying them to practice. Therefore, the creation of a mathematical theory of general human psychology, the dialectical development of human society and macroeconomics are becoming particularly relevant at present. This paper describes the main results of the mathematical modeling of psychological behavior, so-called digital twins, which are psychological analogs of people. Theorems explaining the dangers of artificial intelligence for people from the mentality point of view are formulated. We propose general models of dialectical development of the virtual world for digital twins, human society and macroeconomics.

The Coming Political

Abstract Intelligence is the human being’s most striking feature. There is no consensually held scientific understanding of intelligence. The term is no less indeterminate in the sphere of artificial intelligence. Definitions are fluid in both cases. But technical applications and biotechnical developments do not wait for scientific clarity and definitional precision. The near future will bring significant advances in technical and biotechnical areas, including the genetic enhancement of human intelligence (HI) as well as artificial intelligence (AI). I show how developments in both areas will challenge human communities in various ways and that the danger of AI is distinctly political. The argument develops in six steps. (1) I compare and contrast artificial with human intelligence in general and (2) AI with HI genetically modified. Then I correlate and differentiate (3) emergent properties and distributed intelligence, both natural and artificial, as well as (4) neural function, both natural and artificial. (5) Finally, I identify the specifically political capabilities I see in HI and (6) political dangers that AI poses to them.

Ethics and the Dangers of Artificial Intelligence

Ethics and the Dangers of Artificial Intelligence