Human-Centric AI (HCAI) designs or develops artificial intelligence (AI) systems that incorporate human needs, values, and collaborative relationships with AI. HCAI differs from traditional AI, which works somewhat autonomously or with minimum human involvement, with the human component as its defining feature and the basis for adding interpretability. The presented paradigm is then applied to various areas, including healthcare, finance, autonomous systems, and cybersecurity, because it helps enable collaborative work between humans and AI to optimize efficiency, safety, and trust. To successfully collaborate with humans, such systems must operate in complex issues and follow established guidelines, ethical considerations, and regulatory frameworks. Using scholarly and industrial sources to understand the field, this paper covers key aspects of HAI, including the best practices for interaction of the human-AI, factors for trust building, regulatory compliance, business scalability, and emerging challenges.
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