ETHICS AND ADVANCEMENT OF ARTIFICIAL INTELLIGENCE IN INTERNATIONAL HR-MANAGEMENT: RISKS AND WAYS TO MINIMIZE THEM
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| Název: | ETHICS AND ADVANCEMENT OF ARTIFICIAL INTELLIGENCE IN INTERNATIONAL HR-MANAGEMENT: RISKS AND WAYS TO MINIMIZE THEM |
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| Zdroj: | Aesthetics and Ethics of Pedagogical Action; No. 31 (2025); 52-62 Естетика і етика педагогічної дії; № 31 (2025); 52-62 |
| Informace o vydavateli: | Poltava V. G. Korolenko National Pedagogical University, 2025. |
| Rok vydání: | 2025 |
| Témata: | аудит алгоритмів, bias, упередженість, дискримінація, етичні стандарти, штучний інтелект, algorithm audit, artificial intelligence, ethics, human resources management, етика, HR-менеджмент, HR-management, управління персоналом, ethical standards, discrimination |
| Popis: | The article explores the ethical aspects of using artificial intelligence (AI) in international HR management, with a particular focus on the risks of discrimination that may arise from the use of historical data. The authors analyze the impact of AI algorithms on key HR processes, including hiring, promotion, and performance evaluation. It is found that automated systems can unconsciously reproduce biases inherent in the original data sets, which can lead to unequal treatment of candidates and employees. Special attention is paid to the problems of algorithm transparency, personal data protection, and injustice in automated HR systems. An important aspect is the issue of trust in algorithmic solutions, their explainability, and compliance with international standards of ethics and regulation. The lack of clarity and complexity of algorithms can lead to situations where HR professionals cannot explain the reasons for making a decision, which, in turn, reduces the trust in the use of AI in HR management. The article suggests methods to minimize the risks of bias, including careful selection and adjustment of initial data, auditing algorithms for discriminatory factors, ensuring transparency of decision-making processes, and applying a hybrid approach that combines automated systems with human control. In addition, the authors emphasize the importance of adhering to ethical standards and international norms when developing and implementing AI in HR processes. An important aspect of the study is the need to train HR professionals in the principles of working with AI, understanding its capabilities and limitations, as well as methods for identifying and correcting potentially unfair algorithmic decisions. Training and professional development of HR managers in the field of ethical use of AI will help to form a more responsible approach to its application. The author also notes that in order to ensure the effective and fair use of AI in HR, it is necessary to continue developing regulatory frameworks and corporate policies. This will not only minimize the potential risks of discrimination but will also help to increase the overall trust in automated HR solutions. The development of regulatory documents, standardization of approaches to auditing algorithms, and improvement of mechanisms for assessing their ethics are key elements for further integration of AI in HR at the international level. У статті досліджуються етичні аспекти використання штучного інтелекту (ШІ) в міжнародному HR-менеджменті, зокрема ризики дискримінації, які можуть виникати через історичні дані. Автор аналізує вплив алгоритмів ШІ на процеси найму, просування та оцінки продуктивності працівників. Розглядаються проблеми прозорості, захисту персональних даних і несправедливості в автоматизованих системах. Пропонуються методи мінімізації ризиків упередженості, такі як: ретельний вибір даних, аудит алгоритмів, прозорість рішень, гібридний підхід і дотримання етичних стандартів. Підкреслено важливість навчання HR-фахівців принципів роботи з ШІ та його обмеженням. |
| Druh dokumentu: | Article |
| Popis souboru: | application/pdf |
| Jazyk: | Ukrainian |
| ISSN: | 2226-4051 2616-6631 |
| Přístupová URL adresa: | https://aesthetethicpedaction.pnpu.edu.ua/article/view/331532 |
| Přístupové číslo: | edsair.scientific.p..343273d23b2cf8f32f19cc31f4b51a25 |
| Databáze: | OpenAIRE |
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| Items | – Name: Title Label: Title Group: Ti Data: ETHICS AND ADVANCEMENT OF ARTIFICIAL INTELLIGENCE IN INTERNATIONAL HR-MANAGEMENT: RISKS AND WAYS TO MINIMIZE THEM – Name: TitleSource Label: Source Group: Src Data: Aesthetics and Ethics of Pedagogical Action; No. 31 (2025); 52-62<br />Естетика і етика педагогічної дії; № 31 (2025); 52-62 – Name: Publisher Label: Publisher Information Group: PubInfo Data: Poltava V. G. Korolenko National Pedagogical University, 2025. – Name: DatePubCY Label: Publication Year Group: Date Data: 2025 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22аудит+алгоритмів%22">аудит алгоритмів</searchLink><br /><searchLink fieldCode="DE" term="%22bias%22">bias</searchLink><br /><searchLink fieldCode="DE" term="%22упередженість%22">упередженість</searchLink><br /><searchLink fieldCode="DE" term="%22дискримінація%22">дискримінація</searchLink><br /><searchLink fieldCode="DE" term="%22етичні+стандарти%22">етичні стандарти</searchLink><br /><searchLink fieldCode="DE" term="%22штучний+інтелект%22">штучний інтелект</searchLink><br /><searchLink fieldCode="DE" term="%22algorithm+audit%22">algorithm audit</searchLink><br /><searchLink fieldCode="DE" term="%22artificial+intelligence%22">artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22ethics%22">ethics</searchLink><br /><searchLink fieldCode="DE" term="%22human+resources+management%22">human resources management</searchLink><br /><searchLink fieldCode="DE" term="%22етика%22">етика</searchLink><br /><searchLink fieldCode="DE" term="%22HR-менеджмент%22">HR-менеджмент</searchLink><br /><searchLink fieldCode="DE" term="%22HR-management%22">HR-management</searchLink><br /><searchLink fieldCode="DE" term="%22управління+персоналом%22">управління персоналом</searchLink><br /><searchLink fieldCode="DE" term="%22ethical+standards%22">ethical standards</searchLink><br /><searchLink fieldCode="DE" term="%22discrimination%22">discrimination</searchLink> – Name: Abstract Label: Description Group: Ab Data: The article explores the ethical aspects of using artificial intelligence (AI) in international HR management, with a particular focus on the risks of discrimination that may arise from the use of historical data. The authors analyze the impact of AI algorithms on key HR processes, including hiring, promotion, and performance evaluation. It is found that automated systems can unconsciously reproduce biases inherent in the original data sets, which can lead to unequal treatment of candidates and employees. Special attention is paid to the problems of algorithm transparency, personal data protection, and injustice in automated HR systems. An important aspect is the issue of trust in algorithmic solutions, their explainability, and compliance with international standards of ethics and regulation. The lack of clarity and complexity of algorithms can lead to situations where HR professionals cannot explain the reasons for making a decision, which, in turn, reduces the trust in the use of AI in HR management. The article suggests methods to minimize the risks of bias, including careful selection and adjustment of initial data, auditing algorithms for discriminatory factors, ensuring transparency of decision-making processes, and applying a hybrid approach that combines automated systems with human control. In addition, the authors emphasize the importance of adhering to ethical standards and international norms when developing and implementing AI in HR processes. An important aspect of the study is the need to train HR professionals in the principles of working with AI, understanding its capabilities and limitations, as well as methods for identifying and correcting potentially unfair algorithmic decisions. Training and professional development of HR managers in the field of ethical use of AI will help to form a more responsible approach to its application. The author also notes that in order to ensure the effective and fair use of AI in HR, it is necessary to continue developing regulatory frameworks and corporate policies. This will not only minimize the potential risks of discrimination but will also help to increase the overall trust in automated HR solutions. The development of regulatory documents, standardization of approaches to auditing algorithms, and improvement of mechanisms for assessing their ethics are key elements for further integration of AI in HR at the international level.<br />У статті досліджуються етичні аспекти використання штучного інтелекту (ШІ) в міжнародному HR-менеджменті, зокрема ризики дискримінації, які можуть виникати через історичні дані. Автор аналізує вплив алгоритмів ШІ на процеси найму, просування та оцінки продуктивності працівників. Розглядаються проблеми прозорості, захисту персональних даних і несправедливості в автоматизованих системах. Пропонуються методи мінімізації ризиків упередженості, такі як: ретельний вибір даних, аудит алгоритмів, прозорість рішень, гібридний підхід і дотримання етичних стандартів. Підкреслено важливість навчання HR-фахівців принципів роботи з ШІ та його обмеженням. – Name: TypeDocument Label: Document Type Group: TypDoc Data: Article – Name: Format Label: File Description Group: SrcInfo Data: application/pdf – Name: Language Label: Language Group: Lang Data: Ukrainian – Name: ISSN Label: ISSN Group: ISSN Data: 2226-4051<br />2616-6631 – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://aesthetethicpedaction.pnpu.edu.ua/article/view/331532" linkWindow="_blank">https://aesthetethicpedaction.pnpu.edu.ua/article/view/331532</link> – Name: AN Label: Accession Number Group: ID Data: edsair.scientific.p..343273d23b2cf8f32f19cc31f4b51a25 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: Ukrainian Subjects: – SubjectFull: аудит алгоритмів Type: general – SubjectFull: bias Type: general – SubjectFull: упередженість Type: general – SubjectFull: дискримінація Type: general – SubjectFull: етичні стандарти Type: general – SubjectFull: штучний інтелект Type: general – SubjectFull: algorithm audit Type: general – SubjectFull: artificial intelligence Type: general – SubjectFull: ethics Type: general – SubjectFull: human resources management Type: general – SubjectFull: етика Type: general – SubjectFull: HR-менеджмент Type: general – SubjectFull: HR-management Type: general – SubjectFull: управління персоналом Type: general – SubjectFull: ethical standards Type: general – SubjectFull: discrimination Type: general Titles: – TitleFull: ETHICS AND ADVANCEMENT OF ARTIFICIAL INTELLIGENCE IN INTERNATIONAL HR-MANAGEMENT: RISKS AND WAYS TO MINIMIZE THEM Type: main BibRelationships: IsPartOfRelationships: – BibEntity: Dates: – D: 03 M: 06 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 22264051 – Type: issn-print Value: 26166631 – Type: issn-locals Value: edsair – Type: issn-locals Value: edsairFT Titles: – TitleFull: Aesthetics and Ethics of Pedagogical Action Type: main |
| ResultId | 1 |
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