EconPapers    
Economics at your fingertips  
 

Embedding Ethical Principles into AI Predictive Tools for Migration Management in Humanitarian Action

Andrea Guillén (andrea.guillen@uab.cat) and Emma Teodoro
Additional contact information
Andrea Guillén: Institute of Law and Technology, Faculty of Law, Autonomous University of Barcelona, 08193 Bellaterra, Spain
Emma Teodoro: Institute of Law and Technology, Faculty of Law, Autonomous University of Barcelona, 08193 Bellaterra, Spain

Social Sciences, 2023, vol. 12, issue 2, 1-13

Abstract: AI predictive tools for migration management in the humanitarian field can significantly aid humanitarian actors in augmenting their decision-making capabilities and improving the lives and well-being of migrants. However, the use of AI predictive tools for migration management also poses several risks. Making humanitarian responses more effective using AI predictive tools cannot come at the expense of jeopardizing migrants’ rights, needs, and interests. Against this backdrop, embedding AI ethical principles into AI predictive tools for migration management becomes paramount. AI ethical principles must be imbued in the design, development, and deployment stages of these AI predictive tools to mitigate risks. Current guidelines to apply AI ethical frameworks contain high-level ethical principles which are not sufficiently specified for achievement. For AI ethical principles to have real impact, they must be translated into low-level technical and organizational measures to be adopted by those designing and developing AI tools. The context-specificity of AI tools implies that different contexts raise different ethical challenges to be considered. Therefore, the problem of how to operationalize AI ethical principles in AI predictive tools for migration management in the humanitarian field remains unresolved. To this end, eight ethical requirements are presented, with their corresponding safeguards to be implemented at the design and development stages of AI predictive tools for humanitarian action, with the aim of operationalizing AI ethical principles and mitigating the inherent risks.

Keywords: AI predictive tools; migration management; humanitarian action; AI ethics (search for similar items in EconPapers)
JEL-codes: A B N P Y80 Z00 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2076-0760/12/2/53/pdf (application/pdf)
https://www.mdpi.com/2076-0760/12/2/53/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jscscx:v:12:y:2023:i:2:p:53-:d:1039210

Access Statistics for this article

Social Sciences is currently edited by Ms. Yvonne Chu

More articles in Social Sciences from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager (indexing@mdpi.com).

 
Page updated 2025-02-14
Handle: RePEc:gam:jscscx:v:12:y:2023:i:2:p:53-:d:1039210