Proceedings of NeurIPS 2019 Workshop on Machine Learning for the Developing World: Challenges and Risks of ML4D

TL;DR

This workshop proceedings discusses the challenges and risks associated with applying machine learning in developing countries, highlighting the need for context-aware solutions and ethical considerations in ML4D.

Contribution

It compiles diverse perspectives and research on ML4D, emphasizing the importance of addressing unique socio-economic and infrastructural challenges.

Findings

Identifies key challenges in ML4D deployment.

Highlights ethical and societal risks of ML in developing contexts.

Calls for tailored ML approaches for the developing world.

Abstract

This is the proceedings of the 3rd ML4D workshop which was help in Vancouver, Canada on December 13, 2019 as part of the Neural Information Processing Systems conference.