The crisis of trust in research outputs is hard to ignore. Questions about research integrity concern academics, policy makers and the public. Throughout the 21st century, the prevalence of tools for digital manipulation has led to legitimate and perceived cases of fraud as well as some genuinely bad practices. But, all of that is dwarfed by the potential for cratering levels of trust as AI blurs all lines between fact and fantasy.
In this session we will look into this near future, discussing the challenges and opportunities ahead. To maintain trust, researchers will need to demonstrate that their data has not been manipulated. This will require new tools, workflows, norms, and lots of metadata. How will this change the processes of research and research validation, and who will need to be involved to ensure we are successful? Hear varied perspectives from university, industry, funding, and publishing.
