Dark side of AI: ethical issues and bias in the context of recruitment

Bonsignore, Ilaria (A.A. 2022/2023) Dark side of AI: ethical issues and bias in the context of recruitment. Tesi di Laurea in Web analytics e marketing, Luiss Guido Carli, relatore Matteo De Angelis, pp. 125. [Master's Degree Thesis]

[img]
Preview
PDF (Full text)
Download (2MB) | Preview

Abstract/Index

Managerial relevance. A brief history of artificial intelligence. Definition of the phenomenon: what is AI? Future trends of AI. Ethics and AI: a possible combination? Case studies: COMPAS and Amazon. Literature review. Artificial intelligence and its ethical implications. Exploring the intersection of AI and consumer patterns. Addressing algorithmic bias in AI applications. The future of marketing: harnessing the power of AI. The impact of AI in the recruitment process. Research questions and conceptual model. Methodology.

References

Bibliografia: pp. 93-112.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Marketing (LM-77)
Chair: Web analytics e marketing
Thesis Supervisor: De Angelis, Matteo
Thesis Co-Supervisor: Pozharliev, Rumen Ivaylov
Academic Year: 2022/2023
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 12 Jan 2024 13:58
Last Modified: 12 Jan 2024 13:58
URI: https://tesi.luiss.it/id/eprint/37532

Downloads

Downloads per month over past year

Repository Staff Only

View Item View Item