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The AI Paradox: Revolution, Responsibility, and the Future of Human-Led Science examines AI's transformative role in science, from Nobel-winning AlphaFold to GNoME and Prithvi, while tackling ethical issues like bias, transparency, and authorship. As an independent researcher, I propose a global, equitable AI ecosystem, synthesizing recent 2024 breakthroughs and the EU AI Act to ensure sustainable progress. This perspective aligns with Nature’s mission to spark interdisciplinary dialogue.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29876012.v1
Primary Topic
Innovation, Sustainability, Human-Machine Systems
Type
article
Field-Weighted Citation Impact
0.00
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Innovation, Sustainability, Human-Machine Systems
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Abstract

The AI Paradox: Revolution, Responsibility, and the Future of Human-Led Science examines AI's transformative role in science, from Nobel-winning AlphaFold to GNoME and Prithvi, while tackling ethical issues like bias, transparency, and authorship. As an independent researcher, I propose a global, equitable AI ecosystem, synthesizing recent 2024 breakthroughs and the EU AI Act to ensure sustainable progress. This perspective aligns with Nature’s mission to spark interdisciplinary dialogue.

Figshare
Life in Land
Openalex Percentile: Top 42%
Innovation, Sustainability, Human-Machine Systems
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