WHAT IS XAI?

XAI stands for Explainable Artificial Intelligence. It is a research initiative aimed at developing machine learning algorithms that are transparent and easily interpretable by humans. The goal of this project is to address one of the biggest challenges facing artificial intelligence today: how to make decisions made by these systems more understandable to end-users. This is particularly important in areas such as healthcare or finance where there may be significant consequences if an AI system makes a mistake. One unique aspect about XAI is its focus on using human-centered design principles to develop these algorithms. This means involving end-users throughout the development process, from designing user interfaces to testing prototypes. Another interesting aspect about XAI is its potential impact on addressing issues related to bias in AI systems. By making these algorithms more transparent and interpretable, it becomes easier for researchers and developers to identify biases within them and take steps towards mitigating those biases. Overall, the XAI project represents an exciting development within artificial intelligence by prioritizing transparency and interpretability in machine learning algorithms.