Mariarosaria Taddeo

Artificial Intelligence · 2008–2023

A researcher in the Science corpus: 17 papers; trusts 15 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 105 citations into it; #12,694 of 35,345 by trust here, #13,163 by citations
• Safety Research — 84 citations into it; #762 of 5,829 by trust here, #391 by citations
• Sociology and Political Science — 83 citations into it
• AI Ethics, Fairness & Society — 50 citations into it; #345 of 494 by trust here, #104 by citations
• Safety, Robustness & Interpretability — 49 citations into it
• Information Systems — 43 citations into it
• Health Informatics — 28 citations into it; #72 of 240 by trust here, #28 by citations
• Marketing — 27 citations into it

Whom Mariarosaria Taddeo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Helen Nissenbaum
2. Petr Hanel
3. Luciano Floridi
4. Alessandro Acquisti
5. Joseph Weizenbaum
6. Nick Seaver
7. Viktor Mayer-Schönberger
8. Karine Nahon
9. M. Blowfield
10. Gary F. Marcus

Who trusts Mariarosaria Taddeo overall

1. Luciano Floridi
2. Jessica Morley
3. Patricia Vasconcelos Almeida
4. Vincent C. Müller
5. Josh Cowls
6. Andrew Iliadis
7. David Leslie
8. Emilio Ferrara
9. Andreas Tsamados
10. Thilo Hagendorff

Papers from Mariarosaria Taddeo's perspective

Ordered by how strongly the researchers Mariarosaria Taddeo trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet Large Scale Visual Recognition Challenge
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• The ethical debate about the gig economy: A review and critical analysis (2020) — 154 citations
• The grand challenges of Science Robotics (2018) — 1,118 citations
• The Debate on the Moral Responsibilities of Online Service Providers (2015) — 81 citations
• The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations (2021) — 379 citations
• Accountability in artificial intelligence: what it is and how it works (2023) — 350 citations
• Data ethics (2021)
• 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
• Recommender systems and their ethical challenges (2020) — 417 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
• How AI can be a force for good (2018) — 623 citations
• Artificial Intelligence and the ‘Good Society’: the US, EU, and UK approach (2017) — 653 citations
• The ethics of algorithms: Mapping the debate (2016) — 2,485 citations
• Cyber Security and Individual Rights, Striking the Right Balance (2013) — 33 citations
• Turing’s Imitation Game: Still an Impossible Challenge for All Machines and Some Judges––An Evaluation of the 2008 Loebner Contest (2008) — 82 citations