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Human-centered AI focuses on designing and developing AI systems that prioritize human needs, values, and workflows. It combines user-centered design, ethical guidelines, and technical robustness to create trustworthy, transparent, and accountable AI. Applicable across product strategy, architecture, and organizational governance.
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Human-centred AI designs AI systems around human goals, abilities, limitations, and responsibility throughout design and operation.
The approach emerged at the intersection of human–computer interaction, human-centred design, and AI research. Ben Shneiderman shaped the modern debate with a vision of reliable systems that strengthen human control and capabilities.
Design starts with people’s tasks and context, makes uncertainty and system boundaries visible, and builds in control, feedback, and fault tolerance. Success is measured by human outcomes, not model metrics alone.
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Human-centred AI helps design AI applications responsibly and assess their effects on autonomy, intelligibility, safety, and inclusion.
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