Hananeh Alambeigi
Artificial Intelligence · 2024
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it
- Safety Research — 19 citations into it
- Safety, Robustness & Interpretability — 19 citations into it
- Health Informatics — 16 citations into it
Whom Hananeh Alambeigi trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Warren J. von Eschenbach (in Artificial Intelligence)
- Tim Miller (in Artificial Intelligence)
- Finale Doshi-Velez (in Artificial Intelligence)
- Been Kim (in Artificial Intelligence)
Papers from Hananeh Alambeigi's perspective
Ordered by how strongly the researchers Hananeh Alambeigi trusts endorse each paper. Same corpus, a different order for every researcher.
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- Towards A Rigorous Science of Interpretable Machine Learning
- Explaining Explanations: An Overview of Interpretability of Machine Learning (International Conference on Data Science and Advanced Analytics)
- A Survey on Bias and Fairness in Machine Learning (ACM Computing Surveys)
- Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences
- Techniques for interpretable machine learning
- Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making
- The global landscape of AI ethics guidelines
- Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI
- Planning and Decision-Making for Autonomous Vehicles
Their papers
- Trust in AI: progress, challenges, and future directions (2024) — 403 citations