Sai Project

The research community (and society in general) has already realised that the current centralised approach to AI is not an acceptable and sustainable model in the long run. The “next wave” of machine-learning driven AI should be human-centric, explainable, more distributed and decentralised. These principles address the societal and ethical expectations for trustworthy, privacy-respectful AI, such as those recommended at the European Level (Ethics Guidelines for Trustworthy AI). They also fit a clear trend to develop decentralised machine-learning for strictly technical reasons: performance, scalability, real-time constraints. The vision of SAI is towards a decentralised “collective” of local machine-learning -based AI components interpreting data and interacting according to human-centric design principles, where explainability is guaranteed both at the local and collective level. SAI is realised under the EC CHIST-ERA program, specifically under the Explainable Machine Learning-based Artificial Intelligence (XAI) Call 2019.