Explainable AI (XAI)
1. What is Explainable AI?
As systems based on artificial intelligence have become more complex in recent years, it is becoming increasingly difficult for humans to intervene in model construction and decision-making processes. Artificial intelligence is sometimes called a ‘black box’ in the sense that it is difficult to fully understand the process because it makes decisions after complex calculations using deep neural networks. In this situation, the need to understand how artificial intelligence made such decisions became necessary, and the concept of explainable artificial intelligence emerged. In other words, explainable artificial intelligence is a feature of artificial intelligence that aids users to understand AI’s complex decision-making processes.
2. Terminology
Below is an explanation of various terms that appear in papers and books related to the subject.
- Understandability
This refers to the ability of a model to describe the results so that humans can understand them without having to describe the complex computational processes or algorithms in detail.
- Comprehensibility
This term is defined as the ability of an algorithm to express learned knowledge in a form that humans can comprehend (aka it would make sense).
- Interpretability
Interpretability is defined as the ability to interpret meaning in terms that humans can understand.
- Explainability
Explainability is the concept of the interface between humans and decision-makers, defined as the ability to explain the meaning.
Transparency refers to a characteristic that can be understood by the model itself, and if the model is understood by itself, the model is considered to be transparent.
3. Explainable AI (XAI) with CLICK AI
The purpose of AI is to help humans make better decisions effectively, so businesses realize the true value of AI solutions when actions taken by the users match the AI-based outputs and predictions. CLICK AI offers support for the decision-making process of businesses by analyzing and visualizing variables that affect the outcome, and automatically providing visualizations to gain key business insights.
