Challenging Scientific Categorizations Through Dispute Learning
« Scientific dispute and scholarly debate have traditionally served as mechanisms for arbitrating between competing scientific categorizations. However, current AI technologies lack both the ethical framework and technical capabilities to handle the adversarial reasoning inherent in scientific discourse effectively. This creates a ‘categorization conundrum’ where new knowledge emerges from opaque black-box systems while simultaneously introducing unresolved vulnerabilities to errors and adversarial attacks. Our research addresses this challenge by examining how to preserve and enhance human dispute’s vital role in the creation, development, and resolution of knowledge categorization, supported by traceable AI assistance. (…) »
