2019
DOI: 10.31857/s013207690007472-1
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Artificial intelligence, labour relations and law: influence and interaction

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Cited by 4 publications
(3 citation statements)
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“…-URL: https://robopravo.ru/initsiativy_frantsii_v_sfierie_ robototiekhniki_2013 (дата обращения: 15.10.2023). 15 О Стратегии развития информационного общества в России на 2017-2030 годы : указ Президента РФ от 9 мая 2017 г. № 203 // Доступ из СПС «КонсультантПлюс» : сайт (дата обращения: 15.10.2023).…”
Section: результаты исследованияunclassified
“…-URL: https://robopravo.ru/initsiativy_frantsii_v_sfierie_ robototiekhniki_2013 (дата обращения: 15.10.2023). 15 О Стратегии развития информационного общества в России на 2017-2030 годы : указ Президента РФ от 9 мая 2017 г. № 203 // Доступ из СПС «КонсультантПлюс» : сайт (дата обращения: 15.10.2023).…”
Section: результаты исследованияunclassified
“…For example, ethical considerations in AI-based recruitment (Mujtaba and Mahapatra, 2019), identification of opportunities for artificial intelligence in training and development practices (Maity, 2019), effects of AI on performance management (Stroet, 2020), use of applicant tracking software for compensation and payroll data (Tambe et al. , 2019), regulation of new processes with the help of AI systems within the framework of labour relations (Filipova, 2019), and prediction of employee attrition using AI techniques (Fallcchi et al. , 2020).…”
Section: Potential Ethical Issues and Principles For Ai-augmented Hrmmentioning
confidence: 99%
“…Partially, the reasons for selecting these functions were also based on the advent of AI applications and a notable rise of studies in extant literature concerning the use of AI in these functions. For example, ethical considerations in AI-based recruitment (Mujtaba and Mahapatra, 2019), identification of opportunities for artificial intelligence in training and development practices (Maity, 2019), effects of AI on performance management (Stroet, 2020), use of applicant tracking software for compensation and payroll data (Tambe et al, 2019), regulation of new processes with the help of AI systems within the framework of labour relations (Filipova, 2019), and prediction of employee attrition using AI techniques (Fallcchi et al, 2020). The following section categorises potential ethical issues and corresponding ethical principles for addressing these issues.…”
Section: Potential Ethical Issues and Principles For Ai-augmented Hrmmentioning
confidence: 99%