Enhancing Humanitarian AI: Advancing Ethical Machine Learning Practices for Child Protection and Trafficking Prevention

About the work

This PhD proposal investigate the application of Machine Learning (ML) models
within humanitarian contexts, specifically focusing on enhancing child protection
mechanisms against trafficking. By employing a mixed-methods approach, the future
research aims to critically assess the efficacy and ethical considerations of existing ML
models. Through collaboration with technology experts and key humanitarian
organizations, the study seeks to refine these models for better alignment with child
rights. The project underscores the importance of ethical AI use, proposing a framework
for deploying AI technologies that prioritize the welfare and rights of children in crisis
situations.

Research papers, Thesis, Lecture notes
ai
child rights
child trafficking
human rights
technology.

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Marta Benítez Brañas
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100% human created

Declaration Date: Mar 7, 2024, 8:27 AM

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Declaration Date: Mar 7, 2024, 8:27 AM

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Title Enhancing Humanitarian AI: Advancing Ethical Machine Learning Practices for Child Protection and Trafficking Prevention
This PhD proposal investigate the application of Machine Learning (ML) models
within humanitarian contexts, specifically focusing on enhancing child protection
mechanisms against trafficking. By employing a mixed-methods approach, the future
research aims to critically assess the efficacy and ethical considerations of existing ML
models. Through collaboration with technology experts and key humanitarian
organizations, the study seeks to refine these models for better alignment with child
rights. The project underscores the importance of ethical AI use, proposing a framework
for deploying AI technologies that prioritize the welfare and rights of children in crisis
situations.
Work type Research papers, Thesis, Lecture notes
Tags ai, child rights, child trafficking, human rights, technology.

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Registry info in Safe Creative

Identifier 2403077260281
Entry date Mar 7, 2024, 8:27 AM UTC
License Creative Commons Attribution-NonCommercial-ShareAlike 4.0

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Copyright registered declarations

Author. Holder Marta Benítez Brañas. Date Mar 7, 2024.


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