Towards a new paradigm of scientific discovery with socialized artificial intelligence

2026-08-03

AI Summary

This work addresses the challenges of fragmented and non-cumulative scientific research in the era of knowledge explosion by introducing the BLAZE paradigm, which positions artificial intelligence not as an isolated tool but as foundational infrastructure for socialized scientific inquiry. BLAZE integrates literature mining, multi-agent collaboration, zero-gap experimentation, and human-AI collaborative decision-making to establish a closed-loop workflow that interconnects persistent knowledge, collective reasoning, experimental validation, and human judgment. The paradigm enables traceable, reproducible, and continuously evolving scientific discovery, significantly enhancing the systematicity, collaboration, and cumulative efficiency of research while preserving human creativity and accountability. In doing so, BLAZE offers a novel framework for large-scale, deep, and sustained scientific exploration.

Abstract

Scientific discovery has advanced through successive transformations in the organization of knowledge. Observation and experimentation established the empirical foundations of science. Theory made it possible to derive general principles from particular phenomena. Computation extended inquiry into systems beyond direct observation, while data-intensive methods opened new spaces of pattern and prediction. Science now confronts a different frontier. The central challenge is no longer simply to produce more information, but to organize expanding knowledge, reasoning, and evidence into a coherent process of discovery. Here, we introduce Bridging Literature, Agents, and Zero-gap Experimentation (BLAZE), a paradigm of socialized scientific intelligence. BLAZE conceives AI not as an assistant for isolated research tasks, but as an organizational infrastructure for scientific discovery. It connects persistent knowledge, collective reasoning, empirical validation, and human judgment within a continuous research lifecycle, transforming fragmented activities into a cumulative process of inquiry, criticism, and revision. The central premise of BLAZE is that scientific intelligence does not arise from computation alone. It emerges from the sustained interaction among knowledge, hypotheses, experiments, and collective verification. By organizing humans and machines within a shared scientific process, BLAZE makes discovery more traceable, reproducible, and cumulative while preserving human creativity, judgment, and responsibility. Socialized scientific intelligence may provide a foundation for the next era of science. Its purpose is not to replace human discovery, but to extend the scale, depth, and continuity of collective scientific inquiry.

Problem

• scientific discovery
• knowledge organization
• collective reasoning
• evidence integration
• research lifecycle

Innovation

• socialized artificial intelligence
• scientific discovery
• BLAZE
• collective reasoning
• zero-gap experimentation