Madeleine Clare Elish
Artificial Intelligence · 2018–2022
A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it
- Safety Research — 26 citations into it; #1,574 of 5,829 by trust here, #1,744 by citations
- Safety, Robustness & Interpretability — 21 citations into it
- AI Ethics, Fairness & Society — 17 citations into it
- Sociology and Political Science — 15 citations into it; #20,393 of 22,756 by trust here, #13,822 by citations
- Social Sciences & Humanities — 12 citations into it
- Information Systems — 11 citations into it
- Computer Science Applications — 9 citations into it
Whom Madeleine Clare Elish trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mikel Olazaran
- Zachary Chase Lipton
- M. Cummings
- Jack Stilgoe
- Raja Parasuraman
- Jenna Burrell
- Kate Crawford
- J. Manyika
- Rob Kitchin
- Nathan Ensmenger
Who trusts Madeleine Clare Elish overall
- Vidushi Marda
- Jack Stilgoe
- Filippo Santoni de Sio
- Ben Green
- Emilio Ferrara
- L. Varshney
- John Howard
- Jascha Bareis
- Leif Hancox-Li
- Os Keyes
Papers from Madeleine Clare Elish's perspective
Ordered by how strongly the researchers Madeleine Clare Elish trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet: A large-scale hierarchical image database
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Mastering the game of Go with deep neural networks and tree search
- Deep Learning
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Situating methods in the magic of Big Data and AI (2018) — 329 citations
- Moral Crumple Zones: Cautionary Tales in Human-Robot Interaction (2019) — 305 citations
- Power to the People? Opportunities and Challenges for Participatory AI (2022) — 422 citations
- "The human body is a black box": supporting clinical decision-making with deep learning (2019) — 220 citations