The Rise of Explainable AI: Making Machine Learning Transparent
As machine learning becomes more embedded in everyday decisions, understanding how AI systems reach their outcomes is essential. This blog explores the rise of explainable AI and why transparency in algorithms is crucial for trust, fairness, and real-world adoption. AI is increasingly applied across sectors such as transportation, healthcare, employment, and law, influencing high-stakes decisions. While AI’s selling point is efficiency and understanding, many of its decisions occur inside “black box” models, complex systems that don’t lay out their results or …