What is the purpose of XAI?

Explainable AI, also known as XAI, is a pivotal concept in the field of artificial intelligence. It encompasses a comprehensive suite of processes and methodologies aimed at fostering transparency and trustworthiness in the outcomes generated by machine learning algorithms.

The use of XAI in BTCC's spot trading service enables traders to gain insights into the factors influencing price movements and trading decisions. This enhanced visibility helps traders make more informed decisions, leading to improved trading outcomes.

The primary objective of XAI is to empower human users with the capability to comprehend the intricacies of AI models and their underlying decision-making processes. This enhanced understanding not only promotes confidence in the results but also facilitates the identification of potential biases or inaccuracies.

XAI is instrumental in bridging the gap between the black-box nature of many AI systems and the need for accountability and interpretability in real-world applications. By providing clear explanations for AI predictions and behaviors, it ensures that decisions made by AI-powered systems are both understandable and justifiable.

One of the key areas where XAI finds immense value is in the domain of cryptocurrency exchanges. For instance, BTCC, a leading cryptocurrency exchange platform, leverages XAI to enhance the transparency and trustworthiness of its services.