Nithya Sambasivan
Safety Research · 2010–2022
A researcher in the Science corpus: 12 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Safety Research — 70 citations into it; #4,598 of 5,829 by trust here, #964 by citations
- Social Sciences & Humanities — 59 citations into it
- Sociology and Political Science — 53 citations into it; #22,489 of 22,756 by trust here, #9,840 by citations
- Information Systems — 37 citations into it; #5,869 of 8,771 by trust here, #4,885 by citations
- AI Ethics, Fairness & Society — 29 citations into it
- Human-Computer Interaction — 29 citations into it; #2,019 of 2,253 by trust here, #587 by citations
- Management Science and Operations Research — 25 citations into it
- Natural Language Processing — 25 citations into it
Whom Nithya Sambasivan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David R. Thomas
- Susan Leigh Star
- Kavita Karan
- L. A. Palinkas
- Kate Crawford
- Vidushi Marda
- Kentaro Toyama
- Rajesh Veeraraghavan
- Rikin Gandhi
- Ben Green
Who trusts Nithya Sambasivan overall
- Ben Hutchinson
- Divya Ramesh
- Shaily Bhatt
- Vinodkumar Prabhakaran
- D. Malerba
- Anna Rogers
- Erin Arnesen
- Anamaria Crisan
- Emily L. Denton
- Sunipa Dev
Papers from Nithya Sambasivan's perspective
Ordered by how strongly the researchers Nithya Sambasivan trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI (2021) — 992 citations
- Re-imagining Algorithmic Fairness in India and Beyond (2021) — 269 citations
- The Unexpected Entry and Exodus of Women in Computing and HCI in India (2018) — 39 citations
- How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India (2022) — 57 citations
- Toward Gender-Equitable Privacy and Security in South Asia (2019) — 21 citations
- The remarkable illusions of technology for social good (2019) — 9 citations
- "Privacy is not for me, it's for those rich women": Performative Privacy Practices on Mobile Phones by Women in South Asia (2018) — 221 citations
- Toward responsible AI for the next billion users (2018) — 52 citations
- Imagined Connectivities: Synthesized Conceptions of Public Wi-Fi in Urban India (2017) — 12 citations
- Human–Computer Interaction for Development : Changing Human—Computer Interaction to Change the World (2012) — 5 citations
- Intermediated technology use in developing communities (2010) — 247 citations
- The human infrastructure of ICTD (2010) — 110 citations