AI for Accuracy in Research and Academic Writing
Importance of Achieving Accuracy in Research
Challenges Faced by Researchers
Various Capabilities of AI Tools
Research Processes Demanding Accuracy
Browsing Tag
AI in Academic Writing
Upholding Academic Integrity in the Age of AI: Challenges and solutions
In today's academic landscape, one of the most pressing challenges is ensuring academic integrity. With the abundance of information available online, plagiarism and fabricated…
AI Assistance in Academia for Searching Credible Scholarly Sources
The journey of academia is a grand quest for knowledge, more specifically an adventure to find the right information through credible sources, and that’s where scholarly sources…
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…
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…
Launching a Practical Guide for Institutions on Using Generative AI in Research and Research Writing – Get Yours Now!
In an era where AI technologies like ChatGPT and similar generative AI tools are becoming increasingly prevalent in academic circles, the need for informed and ethical utilization…
Future of Peer Review in Research Publishing: Navigating possibilities and challenges
Preprints and Open Peer Review
Use of AI Tools for Peer Review
Ethical Challenges of AI Integration
Tips for New Reviewers
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…
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…