Explorable Explainable AI: Improving AI Understanding for Community Health Workers in India-Reference-Cited by-同舟云学术

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Explorable Explainable AI: Improving AI Understanding for Community Health Workers in India

Published:2024-05-11 Issue: Volume:33 Page:1-21
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Solano-Kamaiko Ian René¹^ORCID,Mishra Dibyendu²^ORCID,Dell Nicola³^ORCID,Vashistha Aditya²^ORCID

Affiliation:

1. Cornell Tech, United States

2. Cornell University, United States

3. Jacobs Institute, Cornell Tech, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642733

Reference136 articles.

1. 2023. Child Growth Monitor: Using AI to solve world hunger and malnutrition. https://news.microsoft.com/en-in/features/child-growth-monitor-malnutrition-india-microsoft-ai/

2. 2023. Integrated Child Development Services - ICDS Scheme | Ministry of Women & Child Development|IN|tydnz — wcd.nic.in. https://wcd.nic.in/integrated-child-development-services-icds-scheme. [Accessed 06-12-2023].

3. 2023. Malnutrition. https://www.who.int/health-topics/malnutrition

4. 2023. The WHO Child Growth Standards. https://www.who.int/tools/child-growth-standards/standards

5. NITI Aayog. 2018. National Strategy for Artificial Intelligence.

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