Human-AI Collaboration in Research

The field of human-AI collaboration is advancing rapidly, with a growing emphasis on developing frameworks and models that can capture the complex and evolving relationships between humans and AI systems. Recent research has highlighted the need for trust-utility approaches that focus on maintaining appropriate trust relationships while ensuring sufficient safeguards. The idea of agency distribution between humans and AI is also becoming increasingly important, with a recognition that authority can dynamically oscillate between different configurations. Furthermore, the importance of epistemic dimensions and partnership dynamics in shaping knowledge co-creation is being explored. Noteworthy papers in this area include the introduction of the HAIG framework, which offers a comprehensive approach to analyzing trust dynamics, and the Cognitio Emergens framework, which provides a conceptual tool for cultivating human-AI partnerships that maintain meaningful human participation.

Sources

Human-AI Governance (HAIG): A Trust-Utility Approach

AI Governance in the GCC States: A Comparative Analysis of National AI Strategies

Ethical AI in the Healthcare Sector: Investigating Key Drivers of Adoption through the Multi-Dimensional Ethical AI Adoption Model (MEAAM)

"Salt is the Soul of Hakka Baked Chicken": Reimagining Traditional Chinese Culinary ICH for Modern Contexts Without Losing Tradition

Cognitio Emergens: Agency, Dimensions, and Dynamics in Human-AI Knowledge Co-Creation

Data Standards in Audiology: A Mixed-Methods Exploration of Community Perspectives and Implementation Considerations

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