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An audit of Hindi and Hinglish content moderation classifiers on three major platforms

Dr. Rohit Malhotra, Dr. Priya Venkataraman, Aisha Khan

Journal of AI Ethics & Society·2026·Computer Science·64 citations

Content moderation classifiers are evaluated overwhelmingly on English. We construct a 24,000-item benchmark of Hindi, Romanised Hindi and Hinglish social media text, annotated by nine trained annotators against a published codebook with su…

https://doi.org/10.53456/jaies.2026.8.1.22

Algorithmic Governance in the Global South

Dr. Priya Venkataraman, Prof. Daniel Okonkwo

Lighthouse Studies in Technology & Society·2026·Computer Science

Most writing on algorithmic governance describes systems built in San Francisco and deployed on Californians. This volume describes systems built elsewhere, or built there and deployed here, and what happened next. Fourteen contributors acr…

https://doi.org/10.53456/book.2026.algorithmic-

The people behind the label: working conditions in India's data annotation industry

Prof. Daniel Okonkwo, Aisha Khan, Dr. Hannah Weiss

Journal of AI Ethics & Society·2025·Computer Science·52 citations

Machine learning depends on annotation labour that its literature rarely describes. Drawing on 68 interviews with annotators and eleven with managers across nine firms in Bengaluru, Kochi and Bhubaneswar, we document a labour process organi…

https://doi.org/10.53456/jaies.2025.7.4.401

Journal of AI Ethics & Society

Dr. Priya Venkataraman, IIIT Hyderabad

Quarterly · ISSN 2456-8171·2019·Computer Science

The social, legal and normative dimensions of machine learning systems — fairness, accountability, governance and the labour that trains them.