Potential applications of concept-based explanations
I do see great potential for concept-based explanations such as TCAV! In this section, you will get exposure to some potential applications of concept-based explanations that can be important research topics for the entire AI community, which are as follows:
- Estimation of transparency and fairness in AI: Most regulatory concerns for black-box AI models are related to concepts such as gender, color, and race. Concept-based explanations can actually help to estimate whether an AI algorithm is fair in terms of these abstract concepts. The detection of bias for AI models can actually improve its transparency and help to address certain regulatory concerns. For example, in terms of doctors using deep learning models, TCAV can be used to detect whether the model is biased toward a specific gender, color, or race as ideally, these concepts are not important as regards the model's decision. High concept importance for these...