Exploring the potentials and pitfalls of artificial intelligence-driven decision-making
Year of publication: |
2023
|
---|---|
Authors: | Zakota, Zoltan |
Published in: |
Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (Online). - [Zagreb, Croatia] : [IRENET, Society for Advancing Innovation and Research in Economy], ISSN 2706-4735, ZDB-ID 3051947-0. - Vol. 9.2023, 1, p. 93-100
|
Subject: | Artificial Intelligence | Decision-making | Ethics of Decision-making | Künstliche Intelligenz | Artificial intelligence | Management-Informationssystem | Management information system | Entscheidung | Decision |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.54820/entrenova-2023-0009 [DOI] hdl:10419/302072 [Handle] |
Classification: | D81 - Criteria for Decision-Making under Risk and Uncertainty ; D91 - Intertemporal Consumer Choice; Life Cycle Models and Saving |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Acquisition of costly information in data-driven decision making
Janasek, Lukas, (2022)
-
Superhuman Artificial Intelligence Can Improve Human Decision Making by Increasing Novelty
Shin, Minkyu, (2023)
-
Exploring the Potentials and Pitfalls of Artificial Intelligence-Driven Decision-Making
Zakota, Zoltan, (2023)
- More ...
-
Rebuilding the Hungarian-Romanian Border Zone as a Learning Region
Zakota, Zoltan, (2017)
-
Standardisation in European Higher Education. The Bologna Process and Hungary
Zakota, Zoltan, (2018)
-
Analysing Web 2.0 Usage of High School Students in the Partium Region before the Covid-19 Pandemic
Zakota, Zoltan, (2020)
- More ...