Introduction to Explainable AI
Paper - 1, Measuring the Quality of Explanations: The System Causability Scale
- With the current advancements in Machine Learning, and AI. It is not possible to develop autonomous systems which can learn.
- But this also leads to opaques in terms of their performance, and under what circumstances or conditions leads to change in their observation and performance.
- It becomes certainly important in critical systems like Medical Imaging, or self driving car, or automatic flight systems.
- It does not foster trust, acceptance and the most important responsibility.
- Explainable AI aims to