Thông tin chung

  English

  Đề tài NC khoa học
  Bài báo, báo cáo khoa học
  Hướng dẫn Sau đại học
  Sách và giáo trình
  Các học phần và môn giảng dạy
  Giải thưởng khoa học, Phát minh, sáng chế
  Khen thưởng
  Thông tin khác

  Tài liệu tham khảo

  Hiệu chỉnh

 
Số người truy cập: 111,199,493

 The Ethical Implication of Using Artificial Intelligence in Hiring and Promotion Decisions
Tác giả hoặc Nhóm tác giả: Aliza Tabassam1, Ghazala Yaqoob2, Vo Hung Cuong3, Mashal Syed4, Asma Shahzadi5, Fahad Asghar6
Nơi đăng: Journal of Management & Educational Research Innovation; Số: 3005-7728;Từ->đến trang: Vol. 1 No. 2 (2023);Năm: 2023
Lĩnh vực: Chưa xác định; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
A substantial increase in the use of Artificial Intelligence (AI) in the field of human resources, notably in the recruiting and promotion processes. This studyinvestigates the ethical implications of using AI technology in these critical organizational choices. As AI-driven algorithms become more common in personnel management, the potential benefits of enhanced efficiency and impartiality must be balanced against the ethical considerations that arise. This study digs into the issues of algorithmic fairness, focusing on techniques for reducing prejudice in AI-driven recruiting and promotion systems.We investigate the significance of transparent AI procedures and techniques for holding AI systems responsible for their outputs and the ethical concerns of data usage, storage, and security in AI-powered human resource systems
ABSTRACT
A substantial increase in the use of Artificial Intelligence (AI) in the field of human resources, notably in the recruiting and promotion processes. This studyinvestigates the ethical implications of using AI technology in these critical organizational choices. As AI-driven algorithms become more common in personnel management, the potential benefits of enhanced efficiency and impartiality must be balanced against the ethical considerations that arise. This study digs into the issues of algorithmic fairness, focusing on techniques for reducing prejudice in AI-driven recruiting and promotion systems.We investigate the significance of transparent AI procedures and techniques for holding AI systems responsible for their outputs and the ethical concerns of data usage, storage, and security in AI-powered human resource systems
© Đại học Đà Nẵng
 
 
Địa chỉ: 41 Lê Duẩn Thành phố Đà Nẵng
Điện thoại: (84) 0236 3822 041 ; Email: dhdn@ac.udn.vn