👉 Influenced computing, also known as human-in-the-loop or human-in-the-loop AI, is an approach in artificial intelligence where human input and oversight are integral to the machine learning process. This paradigm recognizes that while AI systems can process vast amounts of data quickly and efficiently, they often lack the nuanced understanding and contextual awareness that humans possess. By incorporating human feedback, decision-making, and corrections into the training and operation of AI models, influenced computing enhances their accuracy, reliability, and ethical alignment. This collaborative model is particularly valuable in complex domains like healthcare, finance, and autonomous systems, where human judgment is crucial for making informed and responsible decisions.
