How AI models successfully detect personality traits from written text
A research team at the University of Barcelona (UB) has shown how artificial intelligence (AI) models can detect personality traits from written texts, and for the first time has managed to analyze in detail how these systems make decisions. These results, published in the journal PLOS One, open up new perspectives for understanding how personality manifests itself in natural language and also how more transparent and reliable automatic detection tools can be built.
An international collaboration seeks to innovate the future of how a mechanical man's best friend interacts with its owner, using a combination of AI and edge computing called edge intelligence. The overarching project goal is to make the dog come 'alive' by adapting wearable-based sensing devices that can detect physiological…
A research team at POSTECH (Pohang University of Science and Technology, South Korea) has developed AI technology that helps individuals deeply understand others' emotions by analyzing individual personality traits and values and generating personalized analogy.
Most major large language models (LLMs) can quickly tell when they are being given a personality test and will tweak their responses to provide more socially desirable results—a finding with implications for any study using LLMs as a stand-in for humans.