Researchers propose a design framework for human-AI collaboration
A new white paper on arXiv outlines a framework for designing human-AI collaboration in industrial settings. The authors argue that successful AI adoption depends on more than technical capabilities—it also requires thoughtful design to ensure the system works well for both people and organizations. The framework considers five key dimensions: the human user, the AI system, the task at hand, the…
Key points
- A framework for human-AI collaboration focuses on humans, AI systems, tasks, organizations, and societal factors
- The paper includes a cobot assembly use case to illustrate practical design and evaluation
- The aim is to create effective, human-centred, and responsible AI integration in workplaces
The paper includes a practical demonstration: a human-AI collaborative assembly system with cobot use cases. This example shows how design requirements translate into specific features and evaluates them through a case study. The goal is to provide a human-centred, responsible approach to integrating AI into workflows.
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