About the project
The project “Bilateral AI” aims at lifting artificial intelligence (AI) to the next level. Current AI systems are in a sense narrow. They center on a specific application or task such as object or speech recognition. Our project will combine two of the most important types of AI which have been developed separately so far: symbolic and sub-symbolic AI. While symbolic AI works with clearly defined logical rules, sub-symbolic AI (such as ChatGPT) is based on training a machine with the help of large datasets to create intelligent behavior. This integration, resulting in a Broad AI, is intended to mirror
something that humans do naturally: the simultaneous use of cognition and reasoning skills.
#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour
Can AI be made to follow predefined norms? Researchers at TU Wien, including BilAI expert Agata Ciabattoni, think so — take a closer look at their method, which earned a Distinguished Paper Award at IJCAI 2025 in Montreal.
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On the Way to a Truly Intelligent AI
Ozan Özdenizci has been working on the Bilateral AI project at TU Graz since May and is part of a larger endeavour to put artificial intelligence (AI) on a broader footing.
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Bilateral AI Cluster of Excellence at SEMANTiCS 2025
This year, Bilateral AI is well represented at the SEMANTiCS Conference in Vienna, where BilAI researchers Georg Gottlob, Marta Sabou, Emanuel Sallinger, Fajar J. Ekaputra, and Daniil Dobriy are showcasing the diverse research modules driving our innovative work.
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