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The Problems of Using AI for Academic Research

The Problems of Using AI for Academic Research

by Álvaro. OpenScienceLab | Dec 1, 2025 | AI in science

Artificial intelligence has become a popular tool for finding information, summarizing texts, and even suggesting academic sources. But while AI can speed up the research process, it also introduces a set of risks that many users overlook. Invented Information and...
Bad Practices in Science in the Age of AI We Must Combat

Bad Practices in Science in the Age of AI We Must Combat

by Álvaro. OpenScienceLab | Oct 6, 2025 | AI in science

The arrival of Artificial Intelligence (AI) in science has led to remarkable advancements, offering tools that enhance research efficiency and accuracy. However, alongside these benefits, AI has also introduced new unethical practices that threaten the integrity of...
Data Readiness for AI: An Essential Foundation for Scientific Innovation

Data Readiness for AI: An Essential Foundation for Scientific Innovation

by Álvaro. OpenScienceLab | Sep 22, 2025 | AI in science, Data

In the modern age of artificial intelligence (AI), scientific research has entered an era of unprecedented opportunities. From predicting disease outbreaks to advancing quantum physics, AI is transforming the way research is conducted. However, as promising as AI is,...
Key insights from Metascience 2025: the future of AI in science

Key insights from Metascience 2025: the future of AI in science

by Álvaro. OpenScienceLab | Jul 8, 2025 | Metascience

Last week, some members of the OpenScienceLab, part of the Universidad Carlos III de Madrid (UC3M), had the privilege of attending Metascience 2025, a worldwide event focused on sharing knowledge, fostering community, and outlining a strategic research agenda to drive...

Latest posts

  • The Problems of Using AI for Academic Research
  • Six Ways Open Science Is (and Isn’t) Changing Research Culture
  • TWIN4MERIT- International Thematic Symposium
  • Bad Practices in Science in the Age of AI We Must Combat
  • Data Readiness for AI: An Essential Foundation for Scientific Innovation

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