The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT

Entrepreneurial Business and Economics Review, Год журнала: 2023, Номер 11(2), С. 7 - 30

Опубликована: Янв. 1, 2023

Objective: The objective of the article is to provide a comprehensive identification and understanding challenges opportunities associated with use generative artificial intelligence (GAI) in business.This study sought develop conceptual framework that gathers negative aspects GAI development management economics, focus on ChatGPT. Research Design & Methods:The employed narrative critical literature review developed based prior literature.We used line deductive reasoning formulating our theoretical make study's overall structure rational productive.Therefore, this should be viewed as highlights controversies threats ChatGPT case study.Findings: Based conducted deep extensive query academic subject well professional press Internet portals, we identified various controversies, threats, defects, disadvantages GAI, particular ChatGPT.Next, grouped into clusters summarize seven main see.In opinion they are follows: (i) no regulation AI market urgent need for regulation, (ii) poor quality, lack quality control, disinformation, deepfake content, algorithmic bias, (iii) automationspurred job losses, (iv) personal data violation, social surveillance, privacy (v) manipulation, weakening ethics goodwill, (vi) widening socio-economic inequalities, (vii) technostress.Implications Recommendations: It important regulate AI/GAI market.Advocating crucial ensure level playing field, promote fair competition, protect intellectual property rights privacy, prevent potential geopolitical risks.The changing requires workers continuously acquire new (digital) skills through education retraining.As training systems becomes prominent category, it adapt take advantage opportunities.To mitigate risks related developers must prioritize ethical considerations work user security.To avoid manipulation weaken implement responsible practices guidelines: transparency usage, bias mitigation techniques, monitoring generated content harmful or misleading information.Contribution Value Added: This may aid bringing attention significance resolving legal arise from by drawing hazards these technologies.

Язык: Английский

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Big Data Management Algorithms, Deep Learning-Based Object Detection Technologies, and Geospatial Simulation and Sensor Fusion Tools in the Internet of Robotic Things

ISPRS International Journal of Geo-Information, Год журнала: 2023, Номер 12(2), С. 35 - 35

Опубликована: Янв. 21, 2023

The objective of this systematic review was to analyze the recently published literature on Internet Robotic Things (IoRT) and integrate insights it articulates big data management algorithms, deep learning-based object detection technologies, geospatial simulation sensor fusion tools. research problems were whether computer vision techniques, mining, simulation-based digital twins, real-time monitoring technology optimize remote sensing robots. Preferred Reporting Items for Systematic Reviews Meta-analysis (PRISMA) guidelines leveraged by a Shiny app obtain flow diagram comprising evidence-based collected managed (the search results screening procedures). Throughout January July 2022, quantitative ProQuest, Scopus, Web Science databases performed, with terms “Internet Things” + “big algorithms”, “deep technologies”, “geospatial tools”. As analyzed between 2017 only 379 sources fulfilled eligibility standards. A total 105, chiefly empirical, have been selected after removing full-text papers that out scope, did not sufficient details, or had limited rigor For quality evaluation so as attain sound outcomes correlations, we deployed AMSTAR (Assessing Methodological Quality Reviews), AXIS (Appraisal tool Cross-Sectional Studies), MMAT (Mixed Methods Appraisal Tool), ROBIS (to assess bias risk in reviews). Dimensions regards initial bibliometric mapping (data visualization) VOSviewer harnessed layout algorithms.

Язык: Английский

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Machine Intelligence and Autonomous Robotic Technologies in the Corporate Context of SMEs: Deep Learning and Virtual Simulation Algorithms, Cyber-Physical Production Networks, and Industry 4.0-Based Manufacturing Systems

Applied Sciences, Год журнала: 2023, Номер 13(3), С. 1681 - 1681

Опубликована: Янв. 28, 2023

This study examines Industry 4.0-based technologies, focusing on the barriers to their implementation in European small- and medium-sized enterprises (SMEs). The purpose of this research was determine most significant obstacles that prevent SMEs from implementing smart manufacturing, as well identify important components such an operationalization evaluate whether only large businesses have access technological opportunities given financial complexities adoption. is premised notion that, setting cyber-physical production systems, gap between massive corporations may result disadvantages for latter, leading market exclusion by former. aim achieved secondary data analysis, where previously gathered were assessed analyzed. need investigate topic originates fact require more than corporations, which are typically focus mainstream debates. findings validated 4.0′s critical role process planning provided deep learning virtual simulation algorithms, especially industrial production. also discussed connection options a means enhancing business efficiency through machine intelligence autonomous robotic technologies. interaction 4.0 economic management organizations viewed possible source added value.

Язык: Английский

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The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review

Oeconomia Copernicana, Год журнала: 2023, Номер 14(3), С. 731 - 767

Опубликована: Сен. 30, 2023

Research background: This article discusses how artificial intelligence (AI) is affecting workers' personal and professional lives, because of many technological disruptions driven by the recent pandemic that are redefining global labor markets. Purpose article: The objective this paper to develop a systematic review relevant literature identify effects change, especially adoption AI in organizations, on employees’ skills (professional dimension) well-being (personal dimension). Methods: To implement research scope, authors relied Khan's five-step methodology, which included PRISMA flowchart with embedded keywords for selecting appropriate quantitative data study. Firstly, 639 scientific papers published between March 2020 2023 (the end COVID-19 according WHO) from Scopus Web Science (WoS) databases were selected. After applying procedures techniques, 103 articles retained, focused dimension, while 35 component. Findings & value added: Evidence has been presented highlighting difficulties associated ongoing requirement upskilling or reskilling as an adaptive reaction changes. efforts counterbalance skill mismatch impacted employees' challenging times. Although emphasis digital widely accepted, our investigation shows topic still not properly developed. paper's most significant contributions found thorough analysis affects well-being, representative aspects researched academic due paradigm changes generated continuous disruptions.

Язык: Английский

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The new trends of digital transformation and artificial intelligence in public administration

ADMINISTRATIE SI MANAGEMENT PUBLIC, Год журнала: 2023, Номер 40, С. 147 - 155

Опубликована: Май 30, 2023

Digital transformation and artificial intelligence are major challenges for a diversity of fields. The central local administrations the states need deep structural changes to reduce bureaucracy public expenses, but also significantly improve quality services, productivity, accessibility, transparency institutions. Digitization gradually integrated into state governance process, results obtained confirm visible increase in managerial, economic, social efficiency. These aspects determine governments progressively design implement strategies digitalization within services. Public investments needed these necessary sustainable development sector. EU encouraged make massive integrate applications services operationalize digital transformations efficient intelligent administrations.

Язык: Английский

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Digital Twin Simulation Tools, Spatial Cognition Algorithms, and Multi-Sensor Fusion Technology in Sustainable Urban Governance Networks

Mathematics, Год журнала: 2023, Номер 11(9), С. 1981 - 1981

Опубликована: Апрель 22, 2023

Relevant research has investigated how predictive modeling algorithms, deep-learning-based sensing technologies, and big urban data configure immersive hyperconnected virtual spaces in digital twin cities: tools, monitoring Internet-of-Things-based decision support systems articulate big-data-driven geopolitics. This systematic review aims to inspect the recently published literature on simulation spatial cognition multi-sensor fusion technology sustainable governance networks. We integrate developing blockchain-based twins, smart infrastructure sensors, real-time Internet of Things assist computing technologies. The problems are whether: data-driven urbanism requires visual recognition simulation-based twins; environment perception mechanisms cities; modeling, optimize city environments. Our analyses particularly prove that navigation geospatial mapping connected sensors enable governance. Digital simulation, visualization ambient sound software Virtual deep learning neural network architectures, cyber-physical cognitive networked cities. Throughout January March 2023, a quantitative was carried out across ProQuest, Scopus, Web Science databases, with search terms comprising “sustainable networks” + “digital tools”, “spatial algorithms”, “multi-sensor technology”. A Preferred Reporting Items for Systematic Reviews Meta-analysis (PRISMA) flow diagram generated using Shiny App. AXIS (Appraisal tool Cross-Sectional Studies), Dedoose, MMAT (Mixed Methods Appraisal Tool), Review Data Repository (SRDR) were used assess quality identified scholarly sources. Dimensions VOSviewer employed bibliometric through layout algorithms. findings gathered from our clarify environments 3D technology, intelligent devices, modeling.

Язык: Английский

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Digital twin simulation modeling, artificial intelligence-based Internet of Manufacturing Things systems, and virtual machine and cognitive computing algorithms in the Industry 4.0-based Slovak labor market

Oeconomia Copernicana, Год журнала: 2024, Номер 15(1), С. 95 - 143

Опубликована: Фев. 21, 2024

Research background: On the basis of an analysis current situation and expectations in field implementation elements Industry 4.0 concept, purpose this paper is to identify effects on labor market large manufacturing enterprises Slovak Republic. Purpose article: The presented work has a theoretical-empirical nature consists theoretical section practical section, which includes statistical indicator quantitative research. In discusses issue general, with focus its impact market, thus laying groundwork for future research subject. Methods: output selected indicators industry sector Republic, based most recent employment data first stage survey second stage, respondents being companies operating whose primary objective determine status technologies production as well factors influencing situation, such digital twin simulation modeling, artificial intelligence-based Internet Manufacturing Things systems, virtual machine cognitive computing algorithms. Findings & value added: findings indicate that degree digitization adopted by businesses Republic comparatively less robust more sluggish adapt. This primarily attributable underdeveloped educational system, population reluctance, self-actualization, inadequate state support. Recommendations aim increase proficiency general populace through various means, reforming legislation, enhancing support entrepreneurs, modifying education constituting added work.

Язык: Английский

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Generative artificial intelligence of things systems, multisensory immersive extended reality technologies, and algorithmic big data simulation and modelling tools in digital twin industrial metaverse

Equilibrium Quarterly Journal of Economics and Economic Policy, Год журнала: 2024, Номер 19(2), С. 429 - 461

Опубликована: Июнь 30, 2024

Research background: Multi-modal synthetic data fusion and analysis, simulation modelling technologies, virtual environmental location sensors shape the industrial metaverse. Visual digital twins, smart manufacturing sensory mining techniques, 3D twin predictive maintenance tools, big mobile analytics, cloud-connected spatial computing devices further immersive spaces, decentralized worlds, reality Purpose of article: We aim to show that extended cognitive systems, computer vision-based production neuro-engineering interoperability improve artificial intelligence-based metaverse hyper-immersive simulated environments. Geolocation tracking image processing computational robot motion algorithms, technologies economic business management environments Methods: Quality tools: AMSTAR, BIBOT, CASP, Catchii, R package Shiny app citationchaser, DistillerSR, JBI SUMARI, Litstream, Nested Knowledge, Rayyan, Systematic Review Accelerator. Search period: April 2024. terms: “digital metaverse” + “artificial Intelligence Things systems”, “multisensory technologies”, “algorithmic tools”. Selected sources: 114 out 336. Published research inspected: 2022–2024. PRISMA was reporting quality assessment tool. Dimensions VOSviewer were deployed as visualization tools. Findings & value added: Simulated augmented multi-sensory explainable decision support cloud-based robotic cooperation ambient intelligence deep learning-based analytics tools are instrumental in The necessitates connected enterprise reality-embedded twins.

Язык: Английский

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Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges

Journal Of Big Data, Год журнала: 2024, Номер 11(1)

Опубликована: Май 6, 2024

Abstract The United Nations’ 17 Sustainable Development Goals stress the importance of global and local efforts to address inequalities implement sustainability. Addressing complex, interconnected sustainability challenges requires a systematic, interdisciplinary approach, where technology, AI, data-driven methods offer potential solutions for optimizing resources, integrating different aspects sustainability, informed decision-making. Sustainability research surrounds various local, regional, challenges, emphasizing need identify emerging areas gaps AI models play crucial role. study performs comprehensive literature survey scientometric semantic analyses, categorizes problems, discusses sustainable use big data. outcomes analyses highlight collaborative inclusive that bridges regional differences, interconnection topics, major themes related It further emphasizes significance developing hybrid approaches combining techniques, expert knowledge multi-level, multi-dimensional Furthermore, recognizes necessity addressing ethical concerns ensuring data in research.

Язык: Английский

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Evaluation of challenges to the adoption of intelligent transportation system for urban smart mobility

Research in Transportation Business & Management, Год журнала: 2023, Номер 51, С. 101060 - 101060

Опубликована: Окт. 31, 2023

Язык: Английский

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