Pdf Human Ai Collaboration Emerging Digital Work Configurations And Th

Digital technologies, in particular artificial intelligence (AI), are reconfiguring how, where, and when work gets done, marking a shift from tools designed to support human tasks to agentic systems that collaborate with and even... AI technologies are evolving to work autonomously or within hybrid collaboration systems of human and digital agents. Research on AI and human-AI collaboration has advanced from studying AI that supports human tasks to AI agents’ ability to make independent management decisions and regulate and manage human work. The future of working with AI is, however, still unknown and emergent, with both utopian and dystopian perspectives shaping our understanding of opportunities and challenges of their adoption and use in organizations, work, and... Prior research has helped make sense of and anticipate important side effects of AI-driven management, new forms of hidden and unrecognized ‘meta-work’ performed by employees, and the ‘ripple effects’ of introducing such technologies to... This includes the reconfiguration of spatial-temporal dimensions and ‘ways of seeing’ in the workplace, tensions between craft and mechanical work, and a wide range of unintended effects in work contexts such as loss of...

New research is needed to develop relevant theories and methods to study human-AI collaboration and how this is reconfiguring work. This special issue invites submissions that critically examine the current and expected future effects of human-AI collaboration and other emerging digital work configurations. It seeks theoretical, empirical, and design-oriented contributions that study the transformative potential of digital-human collaboration, aiming to gather research that fosters ethical solutions and sustainable models for AI- and digitally-driven work, while informing future... It encourages work that inspires innovative strategies and follows good research practice in the use of AI, but is also open to developing prospective scenarios and actively creating preferable futures. This study examined how employees perceive digital transformation, focusing on AI integration, digital skill development, hybrid work adoption, and the future of work with AI. It also examined how demographic factors influenced these perceptions, including educational background, occupational role, and work tenure.

A total of 153 Mandaluyong City employees were surveyed utilizing convenience sample methods, both face-to-face and online. A mixed-method approach incorporated quantitative analysis of rated items and qualitative insights from open-ended questions, using statistical tools such as percentage, mean, and the Kruskal-Wallis H-Test. Based on the findings, most employees had a tertiary education, worked in the business process industry, and had one to five years of experience. Significant differences in views on AI integration, digital skills development, and work changes were linked to educational background, work tenure, and occupational roles. These insights may guide policymakers and organizations in understanding employee perspectives on workplace digital transformation while discussing future research directions. Future of Work, Digital Transformation, Human-AI Collaboration, Skill Adaptation.

Erika L. Abalora, Dia Camille C. Candido, Daniela T. Carreon, and Ricky G. Basilio (2024), The Future of Work: Human-AI Collaboration and Skill Adaptation in The Context of Digital Transformation. Multidisciplinary International Journal of Research and Development (MIJRD), Volume: 04 Issue: 02, Pages: 86-94.

https://www.mijrd.com/papers/v4/i2/MIJRDV4I20007.pdf

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