Please visit the COVID-19 response page for resources and advice on managing through the crisis today and beyond.
Did you mean...
Or try searching another term.
Human-centered AI learns from human input and collaboration, focusing on algorithms that exist among a larger, human-based system. Human-centered AI is defined by systems that are continuously improving because of human input while providing an effective experience between human and robot. By developing machine intelligence with a goal of understanding human language, emotion and behavior, human-centered AI pushes the boundaries of previously limited artificial intelligence solutions to bridge the gap between machine and human being.
From a business standpoint, human-centered AI solutions leverage human science and qualitatively thick data to understand the deeper needs, aspirations and drivers that underlie customer behaviors in your market. Advanced contextual analytics combine data and human science to deliver specific behavioral information. When analytics are applied to human behaviors and choices, patterns appear. These contextual analytics combine data and human science to produce dramatically improved, personalized customer experiences. Clear, informed business strategies can be developed when companies know exactly what their customers do and expect.
The business benefits of human-centered AI include:
For more information about human-centered AI, see our additional articles below.