About
An ERA-curated thematic profile exploring how generative AI is changing the meaning and assessment of academic authorship. Sessions examine human contribution, AI-assisted writing, authorship verification, writing-pattern changes, and the importance of evidence and contextual judgment when evaluating academic work.
Sessions
When Writing Style Suddenly Changes: What Should We Do Next?
A sudden change in writing style may raise questions, but it does not automatically establish misconduct. This session explores how educators and academic reviewers can interpret writing-pattern changes responsibly, consider context, and determine appropriate next steps.
Authorship in the Age of Generative AI
As AI becomes part of research and academic writing, institutions need to reconsider how authorship and contribution are understood. This session explores responsible AI assistance, attribution, transparency, and the evolving expectations surrounding academic authorship.
Who Actually Wrote the Paper?
Generative AI is challenging traditional assumptions about academic authorship. This session explores what meaningful authorship means when AI can contribute to writing and why understanding human contribution, transparency, and verification matters.