Augmented Intelligence is a changing paradigm that focuses on human-AI collaboration to augment decision-making, productivity, and problem-solving. Unlike traditional AI, which seeks to automate processes, augmented intelligence concentrates on supplementing human intelligence with machine learning, data analytics, and automation. This collaboration is revolutionizing several sectors, such as healthcare, finance, and education, by enhancing accuracy, efficiency, and innovation. Nonetheless, issues of data privacy, bias in algorithms, and ethics need to be resolved in order to guarantee the deployment of responsible AI. Transparency and human intervention are necessary in developing trust and maximizing AI- based solutions. With the growth of technology, increased intelligence through augmentation is projected to reshape workspaces and social interactions and provide new fronts for collaboration between humans and AI. This paper delves into its uses, challenges, and implications in the future in the digital era.
Krishna et al. (Thu,) studied this question.