Harborne, Dan

1. Interpretable to Whom? A Role-based Model for Analyzing Interpretable\n Machine Learning Systems
   2018/06/20 by Richard Tomsett, Dave Braines, Tomsett, Richard +8 · 11 citations
   Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
2. Sanity Checks for Saliency Metrics
   2019/11/29 by Tomsett, Richard, Harborne, Dan, Chakraborty, Supriyo +2 · 6 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
3. Stakeholders in Explainable AI
   2018/09/29 by Preece, Alun, Harborne, Dan, Braines, Dave +2 · 5 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences