👉 Examine computing, a term often associated with the field of Explainable AI (XAI), focuses on developing methods and techniques to make artificial intelligence systems more transparent, interpretable, and understandable to humans. It aims to bridge the gap between complex machine learning models and human comprehension by providing insights into how these models make decisions. This involves creating tools and frameworks that can explain the reasoning behind AI predictions, diagnose errors, and ensure that AI systems operate fairly and ethically. By enhancing the interpretability of AI, examine computing seeks to build trust in AI technologies and facilitate their adoption across various sectors, including healthcare, finance, and autonomous systems.
