Implications of algorithmic bias in AI-driven emergency response systems
In this paper, we introduce a framework to evaluate the economic implications of algorithmic bias specifically for the emergency response systems that incorporate AI. Unlike existing research, which mostly addresses technical or ethical aspects in isolation, our approach integrates economic theory w...
Saved in:
| Main Author: | Katsiaryna Bahamazava |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2026-01-01
|
| Series: | Journal of Economy and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949948825000198 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics
by: Md Abu Sufian, et al.
Published: (2024-11-01) -
Post-processing methods for mitigating algorithmic bias in healthcare classification models: An extended umbrella review
by: Shaina Mackin, et al.
Published: (2025-08-01) -
Metrics and Algorithms for Identifying and Mitigating Bias in AI Design: A Counterfactual Fairness Approach
by: Dongsoo Moon, et al.
Published: (2025-01-01) -
Participatory Management Can Help AI Ethics Adhere to the Social Consensus
by: Mahmut Özer, et al.
Published: (2024-08-01) -
Algorithmic bias and the Value Sensitive Design approach
by: Judith Simon, et al.
Published: (2020-12-01)