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Organizations can effectively support, develop, and lead their workforce while adopting advanced AI technologies in environmentally and socially responsible ways. As generative AI transforms business operations, communication, and decision-making, organizations must balance innovation with ethical labor practices, employee well-being, digital inclusion, and sustainable technology use. Human resource management, workforce adaptability, and organizational leadership can align AI-driven transformation with long-term sustainability goals, ensuring technological advancement enhances productivity while promoting responsible digital practices. Managing Human Capital at the Intersection of Generative AI and Digital Sustainability explores how organizations undergo the rapid diffusion of GenAI across decision processes and work design. It examines the escalating demand for measurable sustainability performance, and the move from AI experimentation to responsible, scalable, and value-creating deployment in management and human capital systems. This book covers topics such as skill development, digital technology, and organizational development, and is a useful resource for business owners, engineers, academicians, researchers, and scientists.

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