UBITECH participates at the kick-off meeting hosted by ATHENA (January 23 & 24, 2024) in Athens, Greece of the AI-DAPT Research and Innovation Action, officially started on January 1st, 2024. The project is funded by the European Commission (Grant Agreement No. 101135826) and spans on the period January 2024 – June 2027. AI-DAPT brings forward a data-centric mentality in AI, that is effectively fused with a model-centric, science-guided approach, across the complete lifecycle of AI-Ops, by introducing end-to-end automation and AI-based systematic methods to support the design, the execution, the observability and the lifecycle management of robust, intelligent and scalable data-AI pipelines that continuously learn and adapt based on their context.
AI-DAPT will design a novel AI-Ops / intelligent pipeline lifecycle framework cross-cutting the different business, legal/ethics, data, AI logic/models, and system requirements while always ensuring a human-in-the-loop (HITL) approach across five axis: “Data Design for AI”, “Data Nurturning for AI”, “Data Generation for AI”, “Model Delivery for AI”, “Data-Model Optimization for AI”. AI-DAPT will contribute to the current research and advance the state-of-the-art techniques and technologies across a number of research paths, including sophisticated Explainable AI (XAI)-driven data operations from purposing, harvesting/mining, exploration, documentation and valuation to interoperability, annotation, cleaning, augmentation and bias detection; collaborative feature engineering minimizing the data where appropriate; adaptive AI for model retraining purposes. Overall, AI-DAPT aims at reinstating the pure data-related work in its rightful place in AI and at reinforcing the generalizability, reliability, trustworthiness and fairness of Al solutions.
Within AI-DAPT, UBITECH will design the AI-DAPT reference architecture and produce design guidelines that showcase how the AI-DAPT results can be integrated and adopted in different, existing AI platforms; design the APIs of AI-DAPT services; elaborate an integration plan which will govern the integration and ML-Ops activities (code maintenance, continuous integration, software evaluation); provide the backbone execution environment; integrate the services of Reference Architecture to deliver the AI-DAPT Platform; verify and validate the proper operation of AI-DAPT Platform and take corrective actions if any defects are encountered; investigate and perform integration of AI-DAPT Framework to existing related AI solutions. Moreover, UBITECH will significantly contribute to the implementation of the Data Curation Methods & Services, the Data Generation Methods & Services, as well as the Hybrid Science-AI Model Interactive Training mechanisms within AI Pipelines.
