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Wyszukujesz frazę "Artificial Intelligence (AI)" wg kryterium: Temat


Tytuł:
Ethical considerations of using artificial intelligence (AI) in recruitment processes
Autorzy:
Stuss, Magdalena
Fularski, Adam
Opis:
The use of artificial intelligence technology in recruitment and selection procedures has become commonplace in business practice. As a result, there has been a significant increase in research on AI recruitment in recent years. However, these studies focus primarily on the considerations of skills and the effectiveness of AI tools. Only recently have analyses emerged presenting these procedures from an ethical perspective. The purpose of the article is to fill this gap and explore the opinions of both HR professionals and employees themselves regarding the use of artificial intelligence-based recruitment solutions. The article contains a systematic review of the literature and the results of a qualitative pilot study. The interview study was conducted in one organisation with the participation of four managers. Widely accepted assumptions about the objectivity of learning algorithms contribute to a seemingly positive image of AI-powered recruitment among practitioners, but the research conducted showed a number of ethical concerns raised by managers regarding AI recruitment requirements. The contrast between this positive image and the ethical concerns raised by critics of AI recruitment requires an assessment necessary to gain a more scientifically grounded perspective on the ethical status of AI recruitment.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Managing Human Capital with AI: Synergy of Talent and Technology
Autorzy:
Bashynska, Iryna
Prokopenko, Olha
Sala, Dariusz
Tematy:
Artificial Intelligence (AI)
HR management
Talent Management
Pokaż więcej
Wydawca:
Wyższa Szkoła Finansów i Prawa w Bielsku-Białej
Powiązania:
https://bibliotekanauki.pl/articles/21968603.pdf  Link otwiera się w nowym oknie
Opis:
The article explores how integrating artificial intelligence in human capital management can create a powerful synergy between human talent and cutting-edge technology. It delves into the ways in which AI is transforming the HR landscape, from recruitment and onboarding to employee development and retention. The article discusses the benefits of using AI-driven tools and strategies to enhance talent acquisition, workforce productivity, and employee satisfaction. The strategic advantages of AI-driven human capital management are evident from agile workforce planning and talent acquisition optimization to dynamic performance management and data-driven decision-making. The ability to continuously adapt to market changes, streamline processes, and provide personalized learning and development opportunities enhances an organization's resilience and competitiveness in a fast-paced and uncertain business environment. Moreover, the amalgamation of AI and human capital management is a technological advancement and a strategic imperative. It empowers organizations to harness the synergy of talent and technology, positioning them for a smarter, more agile, and prosperous future. As the digital age continues to unfold, this strategic merger will be central to unlocking the full potential of human capital in organizations and achieving a sustainable and competitive edge in the modern workplace.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Basic Ethical Problems Related to the Development of Artificial Intelligence as a Management Tool
Autorzy:
Pliszka, Bogdan
Orbik, Zbigniew
Wydawca:
Silesian University of Technology
Cytata wydawnicza:
Orbik, Z., & Pliszka, B. (2023). Basic Ethical Problems Related to the Development of Artificial Intelligence as a Management Tool. Zeszyty Naukowe. Organizacja i Zarządzanie/Politechnika Śląska, (188 Nowoczesność przemysłu i usług= Modernity of industry and services), 485-499. http://dx.doi.org/10.29119/1641-3466.2023.188.28
Opis:
The article presents the issue of artificial intelligence as a technological project that is becoming an increasingly important tool used in a manager's work. The use of AI is also an effective means of improving business operations. However, this raises a number of ethical problems and they are the main subject of the analyzes undertaken in this article.
Dostawca treści:
Repozytorium Centrum Otwartej Nauki
Artykuł
Tytuł:
Performance of ChatGPT-3.5 and ChatGPT-4 in the field of specialist medical knowledge on National Specialization Exam in neurosurgery
Porównanie efektywności ChatGPT-3.5 i ChatGPT-4 w zakresie specjalistycznej wiedzy medycznej na przykładzie Państwowego Egzaminu Specjalizacyjnego z neurochirurgii
Autorzy:
Laskowski, Maciej
Ciekalski, Marcin
Laskowski, Marcin
Błaszczyk, Bartłomiej
Setlak, Marcin
Paździora, Piotr
Rudnik, Adam
Tematy:
ChatGPT
neurosurgery
artificial intelligence (AI)
neurochirurgia
sztuczna inteligencja (AI)
Pokaż więcej
Wydawca:
Śląski Uniwersytet Medyczny w Katowicach
Powiązania:
https://bibliotekanauki.pl/articles/51616770.pdf  Link otwiera się w nowym oknie
Opis:
INTRODUCTION: In recent times, there has been an increased number of published materials related to artificial intelligence (AI) in both the medical field, and specifically, in the domain of neurosurgery. Studies integrating AI into neurosurgical practice suggest an ongoing shift towards a greater dependence on AI-assisted tools for diagnostics, image analysis, and decision-making. MATERIAL AND METHODS: The study evaluated the performance of ChatGPT-3.5 and ChatGPT-4 on a neurosurgery exam from Autumn 2017, which was the latest exam with officially provided answers on the Medical Examinations Center in Łódź, Poland (Centrum Egzaminów Medycznych – CEM) website. The passing score for the National Specialization Exam (Państwowy Egzamin Specjalizacyjny – PES) in Poland, as administered by CEM, is 56% of the valid questions. This exam, chosen from CEM, comprised 116 single-choice questions after eliminating four outdated questions. These questions were categorized into ten thematic groups based on the subjects they address. For data collection, both ChatGPT versions were briefed on the exam rules and asked to rate their confidence in each answer on a scale from 1 (definitely not sure) to 5 (definitely sure). All the interactions were conducted in Polish and were recorded. RESULTS: ChatGPT-4 significantly outperformed ChatGPT-3.5, showing a notable improvement with a 29.4% margin (p < 0.001). Unlike ChatGPT-3.5, ChatGPT-4 successfully reached the passing threshold for the PES. ChatGPT-3.5 and ChatGPT-4 had the same answers in 61 questions (52.58%), both were correct in 28 questions (24.14%), and were incorrect in 33 questions (28.45%). CONCLUSIONS: ChatGPT-4 shows improved accuracy over ChatGPT-3.5, likely due to advanced algorithms and a broader training dataset, highlighting its better grasp of complex neurosurgical concepts.
WPROWADZENIE: W ostatnim czasie obserwuje się wzrost liczby opublikowanych artykułów dotyczących sztucznej inteligencji w dziedzinie medycyny, szczególnie w obszarze neurochirurgii. Badania dotyczące integracji sztucznej inteligencji z praktyką neurochirurgiczną wskazują na postępującą zmianę w kierunku szerszego wykorzystania narzędzi wspomaganych sztuczną inteligencją w diagnostyce, analizie obrazu i podejmowaniu decyzji. MATERIAŁ I METODY: W badaniu oceniono efektywność ChatGPT-3.5 i ChatGPT-4 na Państwowym Egzaminie Specjalizacyjnym (PES) z neurochirurgii przeprowadzonym jesienią 2017 r., który w czasie przeprowadzania badania był najnowszym dostępnym na stronie Centrum Egzaminów Medycznych (CEM) egzaminem z oficjalnie udostępnionymi odpowiedziami. Próg zdawalności egzaminu specjalizacyjnego wynosi 56% poprawnych odpowiedzi. Egzamin składał się ze 116 pytań jednokrotnego wyboru, po wyeliminowaniu czterech z uwagi na ich niezgodność z aktualną wiedzą. Ze względu na poruszane zagadnienia pytania podzielono na dziesięć grup tematycznych. Na potrzeby gromadzenia danych obie wersje ChatGPT zostały poinformowane o zasadach egzaminu i poproszone o ocenę stopnia pewności co do każdej odpowiedzi w skali od 1 (zdecydowanie niepewny) do 5 (zdecydowanie pewny). Wszystkie interakcje odbywały się w języku polskim i były rejestrowane. WYNIKI: ChatGPT-4 wyraźnie przewyższył ChatGPT-3.5 z różnicą wynoszącą 29,4% (p < 0,001). W przeciwieństwie do ChatGPT-3.5, ChatGPT-4 z sukcesem osiągnął próg zdawalności dla PES. W testach ChatGPT-3.5 i ChatGPT-4 odpowiedzi były takie same w 61 pytaniach (52,58%), w obu przypadkach były poprawne w 28 pytaniach (24,14%) i niepoprawne w 33 pytaniach (28,45%). WNIOSKI: ChatGPT-4 osiąga większą poprawność w udzielanych odpowiedziach w porównaniu z ChatGPT-3.5, prawdopodobnie dzięki zaawansowanym algorytmom i szerszemu zbiorowi danych treningowych, co podkreśla lepsze zrozumienie złożonych koncepcji neurochirurgicznych.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Unveiling AI’s Existential Threats and Societal Responsibilities
Autorzy:
Baumberger, Jessica
Tematy:
Artificial Intelligence (AI)
open-source AI
AI ethics
AI transparency
AI Education
Pokaż więcej
Wydawca:
Polska Akademia Nauk. Instytut Filozofii i Socjologii PAN
Powiązania:
https://bibliotekanauki.pl/articles/31233775.pdf  Link otwiera się w nowym oknie
Opis:
Artificial Intelligence (AI) stands at the intersection of unprecedented opportunities and profound challenges. As AI is increasingly integrated into societal structures, the necessity for transparency and open-source approaches becomes paramount to foster both innovation and ethical considerations. Collaborative efforts among academia, industry, and policymakers are essential for addressing the multifaceted complexities that AI presents. While AI promises transformative benefits, potential challenges, such as its weaponization, corporate exploitation, and job displacement, warrant careful attention. Striking a balance between regulation with innovation is critical. Academic institutions can play a pivotal role, guiding AI’s trajectory, nurturing interdisciplinary learning, and equipping future professionals. Embracing open-source AI can ensure its ethical use and mitigate the risks associated with its exploitation. The existential threats posed by AI are significant, yet with strategic collaboration and foresight, a bright, AI-driven future is within reach.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence v. Personal Data
Autorzy:
Chałubińska-Jentkiewicz, Katarzyna
Nowikowska, Monika
Tematy:
Artificial Intelligence (AI)
new technologies
personal data
regulation
Pokaż więcej
Wydawca:
Wydawnictwo Adam Marszałek
Powiązania:
https://bibliotekanauki.pl/articles/2154728.pdf  Link otwiera się w nowym oknie
Opis:
The world is constantly changing under the influence of new technologies. Artificial intelligence systems are currently used in many areas of human activity. Such systems are increasingly assigned the tasks of collecting and analysing personal data. The areas successfully using AI include transport, medicine, trade, marketing, and others. The number of these areas increases proportionally with the advancement of technology. We can process vast amounts of data and analyse it using IA. It is, of course, big data that sits at the heart of AI. As computing systems generally have grown in power and capacity, data consumption has grown exponentially.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Relationship Between Artificial Intelligence, Human Communication and Ethics. A Futuristic Perspective: Utopia or Dystopia?
Autorzy:
Pelea, Crînguța Irina
Tematy:
Artificial Intelligence (AI)
Ethics. Robots
Communication. Challenges
Utopia
Dystopia
Pokaż więcej
Wydawca:
Univerzita sv. Cyrila a Metoda. Fakulta masmediálnej komunikácie
Powiązania:
https://bibliotekanauki.pl/articles/526502.pdf  Link otwiera się w nowym oknie
Opis:
In today’s society, Artificial Intelligence is continuously evolving, with remarkable speed and it has a considerable impact on the community as a whole, starting with medicine, education, industry, and it affects communication in human relations. Once one can no longer deny this technological advancement with many implications on our lives, a new topic of discussion and academic research arises: to what extent will it be necessary to redefine the parameters of communication and the relationships between the individual, the group, the society, and the Artificial Intelligence. The present research tackles several problematic aspects related to AI in the present and some that may arise in the near future when robots will probably become a commodity. First, the author will investigate the communication relationship between AI and the individual, now, given the fact that the excessive use of technology recalibrates and reformulates the way one perceives and envisages the harmony and the efficiency of the communication process. Second, the connection between AI and ethics is another topic of high interest now, and even though the flourishing development of AI supposedly has as a mission the benefit of humankind, many ethical dilemmas keep arising and feed collective social anxiety, while no satisfying and consistent solutions seem to be found. Globalisation and technological progress mark another turning point for contemporary society, which witnesses an unforeseen academic impasse of knowledge, meaning that it is prone to reconfigure stable academic disciplines and to estimate the emergence of new ones, dictated by post-contemporary global necessities. For example, the ethics of robots or AI has high chances to become a well-established academic discipline soon, given the present turbulent and dynamic technological context, constantly shaping humanity’s life. Considering the future implications of ethical and communication nature becomes a stringent necessity even at its earliest stages, not only for researchers of various departments and ethics committees but also for governments, corporations, and other industry branches. Therefore, creating and engraving a culture of social responsibility towards AI represents one of the most difficult challenges of our times, and finding the balance will make the difference between utopia and dystopia, where AI is a miracle... or an evil.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Asymmetry of dependency between the user and the organization in the age of artificial intelligence : a case study of selected tools
Asymetria zależności między użytkownikiem a organizacją w dobie sztucznej inteligencji na przykładzie wybranych narzędzi
Autorzy:
Hapek, Monika
Opis:
The implementation of artificial intelligence-based solutions not only contributes to increasing the level of innovation and the pace of development of companies operating in the digital space but can also be perceived as beneficial from the user’s perspective. Offering (seemingly) free tools designed to facilitate human work promotes, often unreflectively, their overuse not only for entertainment but also for creating reports, official documents, and even scientific texts. Users interacting with artificial intelligence enter data that may be a company secret or of a private nature. Such actions can lead to a deepening imbalance between the benefits gained by companies offering services based on artificial intelligence and the benefits to users, ultimately posing a threat to the latter’s privacy. This article is not only an attempt to answer questions about whether artificial intelligence can be controlled (from the perspectives of both organizations and users), how to protect privacy in the age of artificial intelligence, and whether it is possible to ensure the right to be forgotten, but it is also a contribution to a broader discussion regarding the often unacknowledged consequences of using generative artificial intelligence services. For this purpose, a multiple case study method was utilized. An analysis of the terms of service of selected AI-based services offered by companies, such as text generation, graphic generation, and immersive experiences, was conducted. Examples of solutions that allow for increased anonymity in the digital environment and the deletion of data on the internet will also be presented.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
How do we measure young peoples attitudes towards artificial intelligence?
Jak mierzyć podejście młodych do sztucznej inteligencji?
Autorzy:
Klej, Arkadiusz
Opis:
Niniejsza praca przestawia konteksty jakie należy brak pod uwagę podczas badania podejścia osób młodych (15-25) do sztucznej inteligencji. Omawiając kilak wcześniej opublikowanych narzędzi, próbuje dokonać ich adaptacji do polskich warunków. Na podstawie kwerendy literatury związanej z nastawieniem do AI oraz AI literacy powstało testowe narzędzie badawcze. Pretesty oraz pilotaż odbyły się w lipcu i sierpniu 2023, z głównym pilotażem który osiągną N>200. Niereprezentatywna próbka zebrana poprzez współpracę ze szkołami oraz komunikacje badania on-line w mediach społecznościowych wskazała że można odnaleźć wiele równic w podejściu do Ai ze względu na: Płeć, wielkość miejscowości oraz inne czynniki. Samo narzędzie okazało się częściowo zadowalające, jednak pewne jego sekcje wymagają poprawy. Propozycje zmian i wnioski podsumowane są w ostatniej sekcji pracy.
This paper outlines the contexts that need to be taken into account when examining young people's (15-25) attitudes towards artificial intelligence (AI). By discussing several previously published tools, it attempts to adapt them to Polish conditions. Based on a literature search related to attitudes towards AI and AI literacy, a test research tool was developed. Pretesting and piloting took place in July and August 2023, with the main pilot reaching N>200. A non-representative sample collected through collaboration with schools and the survey's online (social media communication) indicated that many differences in attitudes towards Ai could be found due to: Gender, size of village and other factors. The tool itself turned out to be partially satisfactory, but some sections need improvement. Suggestions for changes and conclusions are summarised in the last section of the paper.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Inne
Tytuł:
The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review
Autorzy:
Cramarenco, Romana Emilia
Burcă-Voicu, Monica Ioana
Dabija, Dan Cristian
Tematy:
artificial intelligence (AI)
employees
skills
digital skills
upskilling
reskilling
well-being
Pokaż więcej
Wydawca:
Instytut Badań Gospodarczych
Powiązania:
https://bibliotekanauki.pl/articles/19901816.pdf  Link otwiera się w nowym oknie
Opis:
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 of the article: The objective of this paper is to develop a systematic review of the relevant literature to identify the effects of technological change, especially the adoption of AI in organizations, on employees’ skills (professional dimension) and well-being (personal dimension). Methods: To implement the research scope, the authors relied on Khan's five-step methodology, which included a PRISMA flowchart with embedded keywords for selecting the appropriate quantitative data for the study. Firstly, 639 scientific papers published between March 2020 to March 2023 (the end of the COVID-19 pandemic according to the WHO) from Scopus and Web of Science (WoS) databases were selected. After applying the relevant procedures and techniques, 103 articles were retained, which focused on the professional dimension, while 35 papers were focused on the personal component. Findings & value added: Evidence has been presented highlighting the difficulties associated with the ongoing requirement for upskilling or reskilling as an adaptive reaction to technological changes. The efforts to counterbalance the skill mismatch impacted employees' well-being in the challenging pandemic times. Although the emphasis on digital skills is widely accepted, our investigation shows that the topic is still not properly developed. The paper's most significant contributions are found in a thorough analysis of how AI affects workers' skills and well-being, highlighting the most representative aspects researched by academic literature due to the recent paradigm changes generated by the COVID-19 pandemic and continuous technological disruptions.
Dostawca treści:
Biblioteka Nauki
Artykuł

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