
With the rapid advancements in artificial intelligence (AI) and machine learning (ML), workflow automation has become a critical component of modern businesses. By automating repetitive tasks, enhancing productivity, and minimizing human error, these technologies present numerous benefits. However, as organizations increasingly adopt AI to manage workflows, an important issue arises: bias in workflow automation. Such biases can undermine the fairness