Aug 2026· International Journal Administration, Business & Organization· 0 citations· 24 references
TL;DR
This study investigates the efficiency paradox of AI, emphasizing the impact of technical optimization on human values, social cohesiveness, and workplace culture and indicates that the ethical and human-centric integration of AI is crucial to ensure that efficiency gains align with inclusivity, justice, and the maintenance of social well-being in contemporary workplaces.
Abstract
Artificial Intelligence (AI) significantly transforms contemporary workplaces by improving efficiency and production. Nonetheless, its implementation also incurs unforeseen social and ethical ramifications. This study investigates the efficiency paradox of AI, emphasizing the impact of technical optimization on human values, social cohesiveness, and workplace culture. A qualitative literature assessment of studies from 2020 to 2025 delineates four principal themes: efficiency and automation, algorithmic bias, alteration of professional identity, and social interaction. Research indicates that AI can lead to dehumanization, deskilling, and diminished interpersonal communication, whereas algorithmic governance may exacerbate bias and inequality within businesses. These factors undermine trust and communal involvement. The study indicates that the ethical and human-centric integration of AI is crucial to ensure that efficiency gains align with inclusivity, justice, and the maintenance of social well-being in contemporary workplaces.
It is proposed that, from employees’ perspective, AI reliance is associated with higher levels of involution through elevated performance expectations and anxiety, and the importance of protecting employee wellbeing, communicating realistic performance expectations, and maintaining workplace social capital when implementing AI in digitally enabled organizations.
Ruochen Huang· Frontiers in Psychology· 0 citations
Preliminary empirical support for ethical vigilance as a relevant construct in AI governance and organizational decision-making is provided and useful insights are provided into how AI systems can be designed to be explainable, accountable and ethically sound to counter rising organizational risks.
Avinash Chopra· VINE Journal of Information...· 0 citations
This study examines the transformative impact of artificial intelligence (AI) on the future of work from a human-centered, interdisciplinary perspective, highlighting the necessity of interdisciplinary collaboration to ensure that AI not only enhances efficiency but also promotes justice, well-being, and sustainability.
Cumali Kılıç· Çukurova Üniversitesi Sosyal...· 0 citations
The adoption of generative artificial intelligence among communication practitioners and researchers surged after the launch of ChatGPT in November 2022, urging practitioners to critically engage in exploring pathways for fostering socially responsible and environmentally sustainable AI practices.
It is argued that social work requires a more nuanced, philosophically informed engagement with AI, one that recognises technology as neither neutral nor inevitable, but as socially shaped, value-laden, and co-constitutive of practice.
An integrative conceptual framework linking algorithmic workplace practices, ethical challenges, and employee well-being, moderated by organizational support, AI transparency, digital capability, and ethical leadership is contributed, alongside a practical framework for implementing sustainable, human-centered AI governance in digital workplaces.
Yulianto, Udin Saryono· Digital Theory, Culture &...· 0 citations