Human-AI interaction (HAI) is a multidisciplinary field studying how people interact with, understand, and collaborate with artificial intelligence (AI) systems. It focuses on designing AI systems that enhance human capabilities, are intuitive, trustworthy, and accessible. HAI is not just about giving commands to machines but about creating a partnership where humans and AI support, enhance, and respond to one another. This involves building systems that align with how people think, feel, and work.
The goal of HAI is to create AI systems that are user-friendly, ethical, and beneficial for humans, amplifying and augmenting human abilities rather than displacing them. It encompasses how people engage, communicate, and collaborate with AI through interfaces, voice, visuals, behavior, and decision-making frameworks. Disciplines such as computer science, psychology, sociology, design, and ethics inform HAI. Researchers and practitioners in HAI employ user research, prototyping, testing, and evaluation to develop human-centered AI systems. Modern interfaces often combine text, speech, visual elements, and even facial expressions to create more holistic communication.
HAI has a strong influence on the world as AI changes how people behave and make sense of it. Machine learning and AI have been used for decades in targeted advertising and to recommend content on social media. As AI becomes more integrated into how we work, learn and live, the quality of that interaction will shape everything from brand perception to learning outcomes to healthcare delivery.
