Josh Cowls
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 11 papers; trusts 11 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it; #34,525 of 35,345 by trust here, #11,750 by citations
- Safety Research — 66 citations into it; #1,045 of 5,829 by trust here, #682 by citations
- Sociology and Political Science — 57 citations into it
- Safety, Robustness & Interpretability — 39 citations into it
- AI Ethics, Fairness & Society — 37 citations into it
- Health Informatics — 27 citations into it
- Computer Science Applications — 12 citations into it
- Information Systems and Management — 12 citations into it
Whom Josh Cowls trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Luciano Floridi
- Gary F. Marcus
- Sara Hooker
- Reuben Binns
- Odd Erik Gundersen
- N. Ahmed
- Mariarosaria Taddeo
- Geoffrey E. Hinton
- Han Cai
- Alexandre Lacoste
Who trusts Josh Cowls overall
- S. Lo Piano
- Luciano Floridi
- Daniel S. Schiff
- Jessica Morley
- Andreas Tsamados
- David Leslie
- Scott Thiebes
- Thilo Hagendorff
- Mariarosaria Taddeo
Papers from Josh Cowls's perspective
Ordered by how strongly the researchers Josh Cowls trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- The ethical debate about the gig economy: A review and critical analysis (2020) — 154 citations
- The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations (2021) — 379 citations
- The ethics of AI in health care: A mapping review. (2020) — 832 citations
- The Chinese Approach to Artificial Intelligence: An Analysis of Policy and Regulation (2020) — 26 citations
- The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation (2020) — 397 citations
- How to Design AI for Social Good: Seven Essential Factors (2020) — 337 citations
- The ethics of algorithms: key problems and solutions (2020) — 356 citations
- Deciding How to Decide: Six Key Questions for Reducing AI’s Democratic Deficit (2020)
- A Unified Framework of Five Principles for AI in Society (2019) — 1,532 citations
- Prolegomena to a White Paper on an Ethical Framework for a Good AI Society (2018) — 58 citations
- AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018) — 3,306 citations