About

Welcome to XAI Today! A blog dedicated to Explainable AI (XAI)—an essential field that better aligns the complex workings of artificial intelligence and machine learning algorithms with human understanding.

As AI continues to influence more aspects of our lives, the need for trust, freedom from bias, and accountability in these systems is critical, particularly in high-stakes areas like healthcare, finance, and law. Any domain or sector where personal information is used and people are affected can make no compromises when it comes to fairness and transparency. XAI can help to reveal whether automated decision making is ethical and compliant.

XAI and interpretable ML are equally valuable in business intelligence (BI), predictive, and prescriptive analytics, as they provide transparency and clarity around data-driven decisions. In fields such as marketing, customer experience, and user journeys, decision-makers want to understand how actionable insights have been generated. Only by sense-checking for real-world causality and intuition about human behaviour, can decision makers trust and leverage these insights effectively. XAI ensures that predictions and recommendations, such as forecasting trends or optimizing strategies, are comprehensible and aligned with business objectives. This transparency fosters more informed decision-making, improving outcomes by connecting insights directly to actionable business strategies.

This blog explores the latest developments, research, and practical applications of XAI. Whether you’re a data scientist, developer, or simply curious about how AI works under the hood, our goal is to make AI/ML explainability and interpretability accessible, insightful, and interesting for everyone.