Machine learning, automated platform and artificial intelligence in the hiring process

Pasquinotti, Leonardo (A.A. 2020/2021) Machine learning, automated platform and artificial intelligence in the hiring process. Tesi di Laurea in Managerial decision making, Luiss Guido Carli, relatore Luigi Marengo, pp. 62. [Master's Degree Thesis]

[img] PDF (Full text)
Restricted to Registered users only

Download (1MB) | Request a copy


Introduction and development of machine learning and artificial intelligence in the world of human resources. Short introduction on AI. It is only the beginning of the story of the technology in human resource. Technology used in the human resources. Automated hiring platforms (AHPs). Importance of hiring and the recruitment process in the 21st century. Definition of recruiting. Reasons for investing in the "new" recruiting process. Biases, stereotypes, and discrimination in work and especially hiring process, can AI help? Physical recruiting and virtual hiring, a line that is blurring. Use of artificial intelligence and automated platforms in the hiring process. Examples of companies using the concept of HRT: companies which uses and companies which develops software. Case of unilever-using AI to streamline recruiting and onboarding. Case of IBM. Total cost of ownership. The study conducted by James Wright & Dr David Atkinson, some interesting results. Ethics and personal reflection. Pandemic features. The innovative concept of intelligence augmentation.


Bibliografia e sitografia: pp. 60-62.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Management, English language (LM-77)
Chair: Managerial decision making
Thesis Supervisor: Marengo, Luigi
Thesis Co-Supervisor: Di Vaio, Gianfranco
Academic Year: 2020/2021
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 14 Jun 2022 09:12
Last Modified: 14 Jun 2022 09:12


Downloads per month over past year

Repository Staff Only

View Item View Item