From Black Box to Glass Box: The Evolution of Explainable AI

The Human Side of AI: Why Explainable AI is Essential for Human-Centered AI

From our personal assistants to self-driving cars, AI is all around us, making our lives easier and more efficient. However, as we increasingly rely on AI to make decisions, there’s a growing concern about the lack of transparency in its decision-making process. The so-called “black box” nature of AI can leave us feeling uncertain and sceptical, wondering how AI arrives at its recommendations and decisions.

But what if we could turn that black box into a glass box, allowing us to peek inside and understand the decision-making process of AI systems?

That’s where explainable AI (XAI) comes in, like a superhero of the AI world. XAI aims to provide transparency and accountability by developing models that can explain how AI systems arrive at their decisions. With XAI, we can gain insights into the rationale behind AI recommendations and decisions, making them more trustworthy and understandable.

But XAI is not just about satisfying our curiosity. It’s also essential for ensuring that AI remains aligned with human values and ethics. Without XAI, AI…