Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness
- Michael Hind
- Dennis Wei
- et al.
- 2020
- ICML 2020
Workshop paper
Publications
194 results for Explainable AI
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI
- Richard Tomsett
- Alun Preece
- et al.
- 2020
- Patterns
Review- D3WA+ - A case study of XAIP in a model acquisition task for dialogue planning
- Sarath Sreedharan
- Tathagata Chakraborti
- et al.
- 2020
- ICAPS 2020
Conference paperAcoustic Wave Inversion Using Radial Basis Neural Networks
- Miguel Paredes Quinones
- Alberto Costa Nogueira Junior
- et al.
- 2020
- Joint SBGf-SEG Workshop on Machine Learning 2020
Conference paperInterpretation Method for Continuous Glucose Monitoring with Subsequence Time-Series Clustering
- Masaki Ono
- Takayuki Katsuki
- et al.
- 2020
- MIE 2020
Conference paperFeature Set for a Prediction Model of Diabetic Kidney Disease Progression
- Masaki Ono
- Takayuki Katsuki
- et al.
- 2020
- MIE 2020
PosterFrom human-human collaboration to Human-AI collaboration: Designing AI systems that can work together with people
- Dakuo Wang
- Elizabeth Churchill
- et al.
- 2020
- CHI EA 2020
Conference paperQuestioning the AI: Informing Design Practices for Explainable AI User Experiences
- Q. Vera Liao
- Daniel M. Gruen
- et al.
- 2020
- CHI 2020
Conference paperXAIT: An interactive website for explainable ai for text
- Erick Oduor
- Kun Qian
- et al.
- 2020
- IUI 2020
Conference paperExSS-ATEC: Explainable smart systems for algorithmic transparency in emerging technologies 2020
- Alison Marie Smith-Renner
- Tsvi Kuflik
- et al.
- 2020
- IUI 2020
Workshop