# Exocortex Network for AI-Augmented Human-Led Scientific Expedition

## TL;DR

This paper explores how AI can support scientific work by enhancing efficiency and enabling new discoveries through personalized AI agents.

## Contribution

The paper introduces a new direction for AI in science: personalized agents forming human-centered networks.

## Key findings

- AI can enhance scientific efficiency and exploration through foundation models and exocortex workflows.
- Personalized agents can align AI with human vision while supporting both efficiency and exploration.
- The role of humans remains central in AI-augmented scientific expeditions.

## Abstract

AI advances in science can be viewed
along two main directions
with a fluid boundary: enhancing efficiency through automation and
smart tools to accelerate tasks that humans can already perform; and
enabling exploration into uncharted territories and potentially toward
AGI. These advances manifest in the AI cognitive core through the
development and explainability of foundation models; in the physical
embodiment of instruments and facilities; and in the integrated agency
of AI workflows exemplified by the science exocortex. To address the
role of humans in this evolving landscape, in this Perspective, we
suggest a third direction: the development of personalized agents
that form human-centered networks, supporting both efficiency and
exploration while ensuring that AI remains aligned with human vision.