Reshaping Work: The Governance of Generative AI Integration and Its Impact on Labor Dynamics

Monday, 7 July 2025: 15:20
Location: ASJE020 (Annex of the Faculty of Legal, Economic, and Social Sciences)
Oral Presentation
Alex MILTSOV, Bishop's University, Canada
This paper aims to critically explore current governance approaches for the integration of generative AI in the workplace, encompassing levels from company policies to regional, national, and international regulations. Generative AI, recognized for its capacity to produce human-like content, is poised to significantly impact labor dynamics (Frank et al., 2019; Warnke, 2023). Workers around the world, including social scientists, are expressing concerns about whether their employers may prefer AI over them in the near future. Anxiety about the potential loss of jobs to AI is a common sentiment among workers (Cox, 2023; Vallance, 2022).

This paper argues that generative AI is significantly transforming the workplace experience, raising complex governance challenges beyond the immediate issue of job displacement. These challenges include ensuring robust privacy protections amidst widespread data collection, maintaining equitable task distribution between generative AI systems and human workers, and providing equal opportunities for skill development to prevent a divided workforce where only some have the necessary skills to succeed in an AI-driven environment. Effective governance models are essential to address these comprehensive concerns, focusing not just on ethical dilemmas but also on fostering environments that enhance worker well-being and job satisfaction. This requires proactive regulatory compliance, clear communication policies, and an organizational commitment to continuous learning and adaptation.

Through an examination of various AI governance approaches—including legislative measures, corporate ethics policies, and international agreements—this study aims to identify effective strategies that positively influence worker well-being. These strategies may involve using generative AI to augment rather than replace human labor, leveraging AI for skill enhancement, and creating new roles that capitalize on human creativity. Understanding and implementing robust AI governance can help mitigate negative impacts and fully leverage the benefits of AI technologies in the workplace.