Mohammadali Kargar
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 Mohammadali Kargar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mohammadali Kargar's perspective
Ordered by how strongly the researchers Mohammadali Kargar 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