Authors: Hannah Chafetz, Sampriti Saxena, Stefaan G. Verhulst

Published on: May 07, 2024

Impact Score: 7.8

Arxiv code: Arxiv:2405.04333

Summary

• What is new: Exploration of the relationship between open data and generative AI as a driver for innovation.
• Why this is important: The potential of open data to enhance generative AI applications and vice versa remains largely untapped.
• What the research proposes: A new ‘Spectrum of Scenarios’ framework to guide the integration of open data with generative AI.
• Results: Identified prerequisites for data holders to leverage generative AI for open data improvement, including transparency, quality, interoperability, accessibility, and ethics.

Technical Details

Technological frameworks used: Spectrum of Scenarios

Models used: Generative AI models like ChatGPT, Gemini, and Claude

Data used: Open data

Potential Impact

Data providers, AI technology companies, industries relying on open data (healthcare, public sector, transportation)

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