Linking pages
- Ten challenges for making automation a ‘team player’ in joint human-agent activity | the morning paper https://blog.acolyer.org/2020/01/10/ten-challenges-for-automation/ 0 comments
- The measure and mismeasure of fairness: a critical review of fair machine learning | the morning paper https://blog.acolyer.org/2020/02/03/measure-mismeasure-fairness/ 0 comments
- Learning certifiably optimal rule lists for categorical data | the morning paper https://blog.acolyer.org/2019/10/30/corels/ 0 comments
- End of term | the morning paper https://blog.acolyer.org/2019/12/16/end-of-term-7/ 0 comments
- Programmatically interpretable reinforcement learning | the morning paper https://blog.acolyer.org/2020/01/15/programmatically-interpretable-reinforcement-learning/ 0 comments
Linked pages
- [1811.10154] Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead https://arxiv.org/abs/1811.10154 14 comments
- Why should I trust you? Explaining the predictions of any classifier | the morning paper https://blog.acolyer.org/2016/09/22/why-should-i-trust-you-explaining-the-predictions-of-any-classifier/ 0 comments