AI can be seen both an opportunity for research productivity and a threat to research integrity. Our latest open research report "Feasibility of technical solutions for the detection of falsified images in research" discusses the risks posed by altered, duplicated and faked images and explores potential technical solutions.
Focusing initially immunochemistry blots and microscopy images, our Phill Jones describes how digital signatures, metadata registries, and decentralised infrastructure could be used to certify images and other types of data.
The question then becomes: how create the standards, organisational structures and community buy-in necessary to make it a success?
Why not join the conversation during STM week in London in December. Follow the links in STMs post below to find out more.
Read the report here: https://lnkd.in/ew6fiUJ3 or find it on our website.
?? New report is now live: Feasibility of technical solutions for the detection of falsified images in research
With the rise of AI-generated content, image integrity in research is a critical challenge. STM funded a new report by MoreBrains Cooperative, investigating technical solutions to detect falsified images, focusing on areas like immunohistochemistry blots and microscopy.
Key findings? While technology offers some answers, the real challenge lies in creating accepted standards and building community-wide trust.
Download the report to dive into potential solutions — from digital signatures to trusted certificates >> https://lnkd.in/eWwdFxtT
?? Join the conversation: December 4 at STM Integrity Day in London —?part of STM's Innovation & Integrity Days (seats are going fast) >> https://lnkd.in/eq-uMRmG