Exploring the Balance Between Automated Decision-Making and Human Judgment in Managerial Contexts

Title

Exploring the Balance Between Automated Decision-Making and Human Judgment in Managerial Contexts

Creator

Alex V.P.; Anirudh H.V.; Siby A.

Description

The study delves into the dynamic and evolving discussion surrounding the balance between automated and human judgment within the realm of managerial decision-making. The primary objective of this research is to gain insight into how AI is evolving to mitigate ethical biases that are inherent in managerial decision-making. To accomplish this goal, the study adopts a theoretical approach, supported by qualitative analysis through an extensive review of existing literature. By systematically investigating AI techniques for managerial decision-making, the research contributes to a broader understanding of how AI is progressing to promote ethically sound managerial decisions in future. The findings from this study are pertinent to business leaders, policymakers, and researchers, offering guidance as they navigate the intricate relationship between automation and human judgment in todays managerial landscape. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Source

Lecture Notes in Networks and Systems, Vol-946, pp. 159-167.

Date

2024-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Artificial intelligence; Machine learning; Managerial decision-making

Coverage

Alex V.P., CHRIST (Deemed to be University), Bengaluru, India; Anirudh H.V., CHRIST (Deemed to be University), Bengaluru, India; Siby A., CHRIST (Deemed to be University), Bengaluru, India

Rights

Restricted Access

Relation

ISSN: 23673370; ISBN: 978-981971322-6

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-97-1323-3_13

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195469441&doi=10.1007%2f978-981-97-1323-3_13&partnerID=40&md5=111bdc9848a5a1786fb22f74700a15d8