IntDEx framework manages emergent AI behavior in software development

The IntDEx framework addresses the challenge of managing emergent behavior in AI-native software development, where non-deterministic models can produce unpredictable outputs. It defines emergence as behavior that cannot be fully pre-determined due to interactions between prompts, models, constraints, data, and oversight. IntDEx proposes observing, recording, and classifying emergent behavior to inform responses such as refined intents, new constraints, or prompt updates, thereby turning unpredictability into a managed source of insight. AI

IMPACT Provides a structured approach for managing the inherent unpredictability of AI models in software development.

RANK_REASON The item describes a framework for managing AI development processes, which falls under tooling rather than a core AI release or research.

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• Agile Manifesto
• Beck et al.
• .chatgpt
• cynefin framework
• Georgia Kali
• IntDEx framework
• NIST AI RMF
• Ouyang et al.
• Schaeffer, Miranda & Koyejo
• Snowden & Boone

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