Explainable AI: A Key to Building Transparent, Interpretable, and Trustworthy AI
A White Paper on Explainable AI
When bringing AI models into production, a business must first establish trust and confidence. A company may adopt a responsible approach to AI development with the help of Explainable AI or XAI. An AI model, its anticipated effect, and any potential biases are all described through explainable AI.
This white paper sheds light on why Explainable AI is being hailed as an emerging field in ML and aims to address how black box decisions of AI systems are made. It will also discuss the industry-specific use cases of explainable AI and its other benefits in making AI more dependable and trustworthy.