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Human-AI Collaboration is a category for books that explore how people and artificial intelligence work together to achieve outcomes neither could on their own. It spans practical guides, case studies, and research on augmenting human judgment and creativity with AI, along with ethics, governance, and design principles for human-in-the-loop systems. Topics include workflow and interface design, prompt and model stewardship, explainability and trust, evaluation, and organizational adoption, plus the impact on skills, jobs, and decision-making across domains like business, healthcare, education, science, and the arts. Readers will find frameworks, tools, and real-world examples for co-creation, oversight, and responsible deployment, as well as critical perspectives on risks and social implications. This category serves leaders, practitioners, designers, data scientists, policymakers, and curious readers seeking to shape effective, equitable partnerships between humans and AI.

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