The Human Side of Generative AI: Creating a Path to Productivity

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.

Authors

Publication Details

Journal
Human capital leadership.
Published
2024-11-01
DOI
https://doi.org/10.70175/hclreview.2020.14.4.7
Citations
2
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
1.05
Controls
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article

The Human Side of Generative AI: Creating a Path to Productivity

Jonathan Westover
2 citations
Human capital leadership.
Ethics and Social Impacts of AI
1.05
article

The Human Side of Generative AI: Creating a Path to Productivity

Jonathan Westover
article en
2 citations

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.

Human capital leadership.Vol. 14(4)
Openalex Percentile: Top 17%
Ethics and Social Impacts of AI
1.05
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