From Loop to Partnership: A Framework for Understanding the Evolving Paradigms of Human-AI Collaboration

Abstract excerpt

The term ‘Human-in-the-Loop’ (HIL), once a clarifying concept for AI systems reliant on human input, now obscures more than it reveals. Its monolithic application to a vast and expanding range of human-AI interactions has led to a conceptual fragmentation that impedes scientific progress and responsible systems’ development. This research confronts this ambiguity by proposing a new, tripartite framework that offer...

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• Artificial Intelligence
• Genetic Variation
• Genetics, Bioinformatics, and Biomedical Research
• Rare Diseases
• Software

Identifiers and source

Literature Corpus work

8dfdde8f-ec16-56b9-bb02-fa5a92b2c1d8

DOI

10.22541/au.175647875.57157328/v1