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Roundtable on Artificial Intelligence & Healthcare
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by
Admin
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published
Nov 24, 2017
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last modified
Jan 02, 2018 01:49 PM
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filed under:
Event,
Artificial Intelligence,
Healthcare
Centre for Internet & Society (CIS) is organizing a roundtable on artificial intelligence (AI) and healthcare at 'The Energy and Resources Institute' (TERI) in Bengaluru on November 30, 2017 from 2 p.m. to 5 p.m. The roundtable seeks to discuss the various issues and challenges surrounding the implementation of AI and related technologies in the Indian healthcare sector.
Located in
Internet Governance
/
Events
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The Mother and Child Tracking System - understanding data trail in the Indian healthcare systems
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by
Ambika Tandon
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published
Oct 18, 2019
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last modified
Dec 30, 2019 05:18 PM
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filed under:
Big Data,
Data Systems,
Privacy,
Researchers at Work,
Internet Governance,
Research,
BD4D,
Healthcare,
Big Data for Development
Reproductive health programmes in India have been digitising extensive data about pregnant women for over a decade, as part of multiple health information systems. These can be seen as precursors to current conceptions of big data systems within health informatics. In this article, published by Privacy International, Ambika Tandon presents some findings from a recently concluded case study of the MCTS as an example of public data-driven initiatives in reproductive health in India.
Located in
Internet Governance
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Blog
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Unpacking Algorithmic Infrastructures: Mapping the Data Supply Chain in the Healthcare Industry in India
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by
Amrita Sengupta, Chetna V. M., Pallavi Bedi, Puthiya Purayil Sneha, Shweta Mohandas and Yatharth
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published
Dec 22, 2023
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last modified
Jan 05, 2024 02:38 AM
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filed under:
Health Tech,
RAW Blog,
Research,
Data Protection,
Healthcare,
Researchers at Work,
Artificial Intelligence
The Unpacking Algorithmic Infrastructures project, supported by a grant from the Notre Dame-IBM Tech Ethics Lab, aims to study the Al data supply chain infrastructure in healthcare in India, and aims to critically analyse auditing frameworks that are utilised to develop and deploy AI systems in healthcare. It will map the prevalence of Al auditing practices within the sector to arrive at an understanding of frameworks that may be developed to check for ethical considerations - such as algorithmic bias and harm within healthcare systems, especially against marginalised and vulnerable populations.
Located in
RAW