The Human Side of Generative AI: Creating a Path to Productivity, by Jonathan H. Westover PhD

The HCL Review Podcast

Abstract: The rapid rise of generative artificial intelligence (AI) presents both opportunities and challenges for organizations. While generative AI offers transformative potential to boost productivity through new forms of data creation, its implementation also brings significant human impacts that require thoughtful leadership. This article explores the human side of generative AI from both theoretical and practical perspectives, focusing on change management, people-centered design, and responsible implementation. Key areas include managing cognitive, emotional, and behavioral responses to AI-driven change, as well as fostering cultures of transparency, learning, and accountability. The article highlights best practices such as early stakeholder involvement, iterative evaluation, and robust governance to ensure generative AI aligns with human needs and ethical standards. Case studies, including Anthropic’s AI safety efforts, illustrate how leaders can promote responsible innovation by integrating human-centered practices throughout the technology lifecycle. By proactively addressing the human dimensions of AI adoption, organizations can achieve sustainable productivity gains while maintaining trust, well-being, and ethical integrity.