Issues of AI and human resource development: applications in education and the arts
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View abstract on PubMed
Summary
This summary is machine-generated.Artificial intelligence (AI) reshapes learning and creativity, acting as both a collaborator and autonomous agent. This necessitates new frameworks for human-machine interaction in Human Resource Development (HRD) for future workforce training.
Area Of Science
- Artificial Intelligence
- Human-Computer Interaction
- Computational Creativity
Background
- The integration of artificial intelligence (AI) into various domains impacts human learning, creativity, and ethical considerations.
- Existing Human Resource Development (HRD) strategies require adaptation to address the evolving role of AI.
Purpose Of The Study
- To examine the transformative effects of AI on human learning, creativity, and ethical engagement.
- To explore the implications of AI integration for the future of Human Resource Development (HRD).
- To propose a framework for synergistic human-AI interaction in learning and development.
Main Methods
- Cross-domain case study analysis of AI applications in education (e.g., Jill Watson, Cognii) and generative art (e.g., AICAN, DALL·E).
- Drawing on Computational Creativity theory to analyze AI's dual role as cognitive collaborator and autonomous agent.
Main Results
- AI presents a dual role: a cognitive collaborator enhancing learning and creativity, and an autonomous agent posing challenges to human originality and professional ethics.
- Identified interdependent tensions and synergies across education, arts, and ethics domains.
- Highlighted regulatory gaps in professional education concerning AI.
Conclusions
- AI integration necessitates a reconceptualization of human-machine interaction within HRD.
- Proposed the AI-Human Synergistic Creativity and Learning Framework to guide workforce development.
- Findings offer actionable insights for curriculum design, policy, and training strategies in AI-augmented environments.
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