Ethical Frameworks for Use in Artificial Intelligence Systems DOI
Veena Christy, Vijaya Kittu Manda,

M. L. Gnanadasan

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 122 - 154

Published: Aug. 21, 2024

The chapter examines the ethical landscape of AI, focusing on development and deployment Responsible AI systems. increased systems powered by artificial intelligence technologies necessitates making work more predictable, trustworthy, ethical. such require use AI. A healthcare system, for example, is a classic system where used in collaborations decision-making. Studying allows us to understand historical context evolution Ethics challenges risks associated with Ethical frameworks six assurance goals, existing guidelines, core principles behind them. Future considerations further research that emerge because evolving concerns potential misuse are discussed.

Language: Английский

Bridging human resource development processes through generative Artificial Intelligence DOI Open Access
Paweł Korzyński, Sewon Kim,

Toby Egan

et al.

Human Resource Development Quarterly, Journal Year: 2024, Volume and Issue: 35(3), P. 247 - 256

Published: Aug. 25, 2024

Abstract This editorial article examines how generative Artificial Intelligence (GAI) can bridge various human resource development (HRD) processes. As GAI adoption increases in resources practices, understanding its potential to integrate different HRD activities becomes more important. The reviews recent literature on (AI) applications and explores GAI‐enabled links between key linkages include data‐driven decision‐making, real‐time skill gap analysis, job crafting with GAI, GAI‐supported personalized plans, GAI‐powered employee sentiment chatbots, virtual reality simulations, social network analysis talent organization contexts. By highlighting these interconnections, the provides insights into a integrated approach HRD. It also discusses implications for practitioners researchers, analyzing specific of recommending future research.

Language: Английский

Citations

6
The synergy of human resource development (HRD) and artificial intelligence (AI) in today’s workplace DOI
Komal Khandelwal, Ashwani Kumar Upadhyay, Aaradhana Rukadikar

et al.

Human Resource Development International, Journal Year: 2024, Volume and Issue: 27(4), P. 622 - 639

Published: July 7, 2024

The systematic review paper examines the relationship between artificial intelligence and human resource development in organisations. study aims to understand AI's symbiotic role improving HRD functions like training development, organisational career performance management, workforce planning last two decades. It highlights how AI revolutionises HRD, including learning planning. also covers plays facilitating adoption. This closes gap by highlighting benefits of this relationship. work poses crucial research questions guide future investigations. cover is essential for ensuring smooth adoption boost capital focusing on can strengthen critical functions. By employing practices improve function, increase our understanding need together synergy.

Language: Английский

Citations

4
Optimizing HR Operations With Generative AI DOI
Harshita Gupta, Jaspreet Kaur

Advances in business strategy and competitive advantage book series, Journal Year: 2025, Volume and Issue: unknown, P. 195 - 218

Published: Jan. 31, 2025

In the rapidly evolving landscape of healthcare, optimizing human resource (HR) operations is crucial for maintaining efficiency and improving patient care. This chapter explores strategic integration generative artificial intelligence (AI) into HR management, focusing on its transformative potential in healthcare sector. By leveraging AI, organizations can streamline recruitment, enhance employee engagement, automate routine administrative tasks, leading to a more agile responsive function. The provides comprehensive overview current applications AI HR, presents case studies from institutions, discusses ethical considerations challenges associated with adoption. Practical recommendations implementing AI-driven strategies are also outlined, offering valuable insights leaders aiming foster innovation operational excellence.

Language: Английский

Citations

0
Identifying Enablers and Barriers to Using Artificial Intelligence in Human Resource Management Practices DOI
Shravan Chandak, Ruchi Sao, Parihar Suresh Dahake

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
The Ethical Role of Generative Artificial Intelligence in Modern HR Decision-Making: A Systematic Literature Review DOI Open Access
S. Porkodi,

Teresita Luzon Cedro

European Journal of Business Management and Research, Journal Year: 2025, Volume and Issue: 10(1), P. 44 - 55

Published: Jan. 23, 2025

The rapid development of generative artificial intelligence (AI) has led to the recognition tools like ChatGPT and its potential transform human resource (HR) management processes, particularly in decision-making. This review study aims assess effectiveness benefits enhancing HR functions, decision-making, identify any challenges ethical considerations involved. Additionally, seeks establish a hybrid framework that combines AI-driven decision-making with oversight. A systematic literature was conducted using PRISMA guidelines, selecting 50 articles from Scopus Google Scholar databases. includes synthesis analysis publication trends keyword key themes such as ChatGPT’s impact on management. reveals can streamline improve communication, support personalized learning eventually contributing enhanced performance engagement. However, technology requires input for moral judgment empathy, presenting resistance adoption, algorithmic bias, data privacy concerns. uniquely contributes by providing role proposing addresses AI’s limitations through guidelines findings emphasize need empirical research larger, diverse settings future enhancements contextual understanding HR.

Language: Английский

Citations

0
Yapay Zekâ ve Örgüt Temelli Araştırmaların Potansiyel Eğilimleri Üzerine Bibliyometrik Bir Analiz DOI Open Access
Deniz Dirik, Tuğba Erhan, İnan Eryılmaz

et al.

Bulletin of Economic Theory and Analysis, Journal Year: 2024, Volume and Issue: 9(3), P. 669 - 698

Published: Oct. 31, 2024

Yapay zekâ teknolojilerinin örgütler ve örgütlü yaşam üzerindeki etkisi, iş dünyasının akademik çalışmaların ana meselelerinden biri haline gelmiştir. zekânın örgüt çalışmalarında giderek daha fazla yer bulduğu özellikle veri analizi, karar verme süreçleri insan kaynakları yönetimi alanlarında örgütlerin performansını artırma potansiyeline sahip olduğu görülmektedir. Bu bağlamda, çalışmada, yapay temelli araştırmaların mevcut potansiyel eğilimlerini tespit etmek, çalışmaları arasındaki kesişim noktalarını araştırılmayı bekleyen alanları keşfetmek hedeflenmiştir. araştırmalarını konu eden yayın atıf trendleri, anahtar kavramlar etkileşimler üzerinden bibliyometrik bir analiz yapılmıştır. RStudio tabanlı Biblioshiny programı kullanılarak yapılan analiz, Web of Science tabanından alınan 1085 makale gerçekleştirilmiştir. örgütsel alanda kullanımıyla ilgili yayınların atıfların arttığı, bu teknolojilerin süreçlerine entegrasyonunun stratejik yenilikleri destekleyebileceği görüşü yayınlarda öne çıkmaktadır. Ayrıca, uygulamalarının etik şeffaf şekilde yönetilmesi gerekliliği vurgulanmaktadır. Çalışma, çalışmalarının kesişimindeki literatüre sistematik bakış sunarak, alandaki tartışmalara mütevazi katkı sağlamakta gelecekteki araştırmalar için referans kaynağı olarak kullanılabilecek öneriler sunmaktadır.

Citations

0
Ethical Frameworks for Use in Artificial Intelligence Systems DOI
Veena Christy, Vijaya Kittu Manda,

M. L. Gnanadasan

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 122 - 154

Published: Aug. 21, 2024

The chapter examines the ethical landscape of AI, focusing on development and deployment Responsible AI systems. increased systems powered by artificial intelligence technologies necessitates making work more predictable, trustworthy, ethical. such require use AI. A healthcare system, for example, is a classic system where used in collaborations decision-making. Studying allows us to understand historical context evolution Ethics challenges risks associated with Ethical frameworks six assurance goals, existing guidelines, core principles behind them. Future considerations further research that emerge because evolving concerns potential misuse are discussed.

Language: Английский

Citations

0