Contextual Memory Intelligence -- A Foundational Paradigm for Human-AI Collaboration and Reflective Generative AI Systems
Kristy Wedel

TL;DR
This paper introduces Contextual Memory Intelligence (CMI), a new paradigm for AI systems that enhances memory, reflection, and context-awareness, improving long-term coherence, explainability, and responsible decision-making in human-AI collaboration.
Contribution
It formalizes a structured approach to capturing, inferring, and regenerating context, operationalized through the Insight Layer with human-in-the-loop features.
Findings
CMI improves AI systems' ability to reason with history and context.
The Insight Layer enables modular, reflective, and auditable AI architectures.
CMI enhances collaboration and governance in AI systems.
Abstract
A critical challenge remains unresolved as generative AI systems are quickly implemented in various organizational settings. Despite significant advances in memory components such as RAG, vector stores, and LLM agents, these systems still have substantial memory limitations. Gen AI workflows rarely store or reflect on the full context in which decisions are made. This leads to repeated errors and a general lack of clarity. This paper introduces Contextual Memory Intelligence (CMI) as a new foundational paradigm for building intelligent systems. It repositions memory as an adaptive infrastructure necessary for longitudinal coherence, explainability, and responsible decision-making rather than passive data. Drawing on cognitive science, organizational theory, human-computer interaction, and AI governance, CMI formalizes the structured capture, inference, and regeneration of context as a…
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Taxonomy
TopicsAI-based Problem Solving and Planning · Personal Information Management and User Behavior · Embodied and Extended Cognition
MethodsRefunds@Expedia|||How do I get a full refund from Expedia? · Layer Normalization · Linear Warmup With Linear Decay · Attention Dropout · Byte Pair Encoding · Softmax · Linear Layer · Dropout · Dense Connections · Attention Is All You Need
