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Published October 14, 2024 | Version v1
Preprint Open

Towards Transparency and Knowledge Exchange in AI-assisted Data Analysis Code Generation

  • 1. ScaDS.AI
  • 2. ROR icon Leipzig University

Description

The integration of Large Language Models (LLMs) in scientific research presents both opportunities and challenges for life scientists. Key challenges include ensuring transparency in AI-generated content and facilitating efficient knowledge exchange among researchers. These issues arise from the in-transparent nature of AI-driven code generation and the informal sharing of AI insights, which may hinder reproducibility and collaboration. This paper introduces git-bob, an innovative AI-assistant designed to address these challenges by fostering an interactive and transparent collaboration platform within GitHub. By enabling seamless dialogue between humans and AI, git-bob ensures that AI contributions are transparent and reproducible. Moreover, it supports collaborative knowledge exchange, enhancing the interdisciplinary dialogue necessary for cutting-edge life sciences research. The open-source nature of git-bob further promotes accessibility and customization, positioning it as a vital tool in employing LLMs responsibly and effectively within scientific communities.

Files

git-bob-manuscript.pdf

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Additional details

Software

Repository URL
https://github.com/haesleinhuepf/git-bob
Programming language
Python