#research-integrity
Sessions tagged #research-integrity. See the whole programme.
Proposed — scheduled when enough people want them
Can We Still Trust the Citation?
Citations can make academic work appear credible, but a reference does not automatically guarantee accuracy or reliability. This session explores the challenges of fabricated, inaccurate, and misleading citations, particularly in AI-assisted research, and what researchers should verify before trusting a reference.
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.
The New Integrity Risks Researchers Need to Recognize
AI-assisted research introduces new questions about transparency, attribution, evidence, and responsibility. This session explores emerging research integrity risks and the practical warning signs researchers should recognize.
Research Integrity After Generative AI
Generative AI is changing how research is written, reviewed, and communicated. This session explores emerging integrity challenges and how researchers and institutions can respond through stronger verification, responsible practices, and informed judgment.