Embracing Imperfection: AI in Academia – Part 2
A lot has changed since we wrote our first post about academia embracing AI-assisted research and education, where we found ourselves nodding along to the thoughts of Avi Staiman…
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AI in Academia
AI-Driven Hypotheses: Real world examples exploring the potential and challenges of AI-generated hypotheses in science
Artificial intelligence (AI) is no longer confined to mere automation; it is now an active participant in the pursuit of knowledge and understanding. However, in the realm of…
Embracing Imperfection: AI in academia
“All opinions are not equal. Some are a very great deal more robust, sophisticated, and well supported in logic and argument than others.”
― Douglas Adams, The Salmon of Doubt…
AI Integration Can Future-Proof Peer Review — But only if we define and drive the right principles
In this ever-evolving landscape of scientific research, trust in the integrity, validity, and impartiality of the process of disseminating scientific findings is essential for the…
Elevate Peer Review Excellence — Ensuring ethical and responsible AI use
The peer review system, with its roots deeply embedded in scholarly publishing since the 17th century, has been significantly impacted by technological advancements. These…
Disclosing the Use of Generative AI: Best practices for authors in manuscript preparation
The rapid proliferation of generative and other AI-based tools in research writing has ignited an urgent need for transparency and accountability. Esteemed scientific journals such…
Who Is Responsible Anyway? – Defining research accountability of researchers and institutions in the AI era
Should we be worried about research ethics in the AI era or has it been at risk even before its advent? The question of research ethics is not new; it has its roots in traditional…
Increasing Threat of Scientific Misconduct and Data Manipulation With AI
The advent of artificial intelligence (AI) has revolutionized various fields, including scientific research. From data analysis to predictive modelling, AI has contributed to the…
Maintaining the Ethical Boundaries of Generative AI in Research and Scholarly Writing
Generative AI models have revolutionized the way we interact with technology for research and scholarly writing. As these AI systems become increasingly sophisticated in generating…
Preserving Research Integrity: Why author guidelines on generative AI tools matter
After COPE, the Committee on Publication Ethics, along with other heavyweights like WAME (World Association of Medical Editors) and the JAMA Network (Journal of the American…
Call for Responsible Use of Generative AI in Academia: The battle between rising popularity and persistent concerns
Generative AI is a fascinating and complex landscape, but it is not without its inherent risks and challenges. It entails some of the biggest concerns such as bias, user…
Limitations of DeepL Write and ChatGPT in Scholarly Editing: How human editors overpower AI tools
Complete reliance on AI, such as DeepL Write and ChatGPT, for research and scholarly editing is not feasible or advisable.
When editing your scholarly work, the choice among…