Webinar: Avoiding AI Pitfalls: Achieving Paper Acceptance Without Compromising Integrity  

AI tools are now part of how many researchers work from synthesizing literature to refining arguments. But using them effectively, and knowing where the risks lie, can be the difference between acceptance and rejection. 

Join our webinar, Avoiding AI Pitfalls: Achieving Paper Acceptance Without Compromising Integrity, led by Valéria Panissa, Pharmacovigilant Analyst and Scientific Advisor, and learn how to use AI to support your research workflow without putting your publication or your reputation at risk. 

Date: Wednesday, 27 May 2026  

Time: 12:00 PM – 1:00 PM GMT  

Language: Spanish  

[Register for Free] 

This practical session is designed for PhD candidates, postdoctoral scholars, early-career academics, and faculty navigating ANECA accreditation, Scopus indexing expectations, and evolving journal policies on AI use. 

Here’s what you will learn: 

• How to distinguish between acceptable AI-assisted writing and AI-generated content and align your practice with COPE guidelines, ANECA expectations, and major journal policies 

• How to recognise hallucinated references, fabricated data, and unverified outputs in manuscripts and apply verification methods to protect your work 

• How to build a transparent, defensible AI workflow with documentation practices and disclosure strategies that satisfy editors and ethics boards 

• How to respond clearly and confidently when a peer reviewer questions your use of AI  

• How to keep your scholarly voice and original thinking at the centre of your work  using AI as an enhancer, not a shortcut 

Bring your questions to the live Q&A and leave with a practical framework you can apply to your very next submission. 

[Register for Free] 

Meet Our Speaker 

Valéria Panissa is a Pharmacovigilant Analyst and Scientific Advisor with extensive experience in health sciences research. She has authored over 70 papers and book chapters, including original articles, scoping reviews, systematic reviews, and meta-analyses. More recently, her work has focused on clinical studies, medical writing, and pharmacovigilance in industry giving her both the academic rigour and real-world publishing insight to guide you through this session. 

Whether you are preparing a journal submission, supervising doctoral work, or simply want to use AI more responsibly in your research, this session offers the clear, evidence-based guidance you need. 

[Register for Free] 

We look forward to having you join us.