AI-DAPT Project
Published December 18, 2024 | Version v1
Conference paper Open

Bridging Data and AIOps for Future AI Advancements with Human-in-the-loop. The AI-DAPT Concept

Creators

  • 1. Suite5 Data Intelligence Solutions Ltd
  • 2. Suite5 Ltd
  • 3. ROR icon National and Kapodistrian University of Athens
  • 4. ROR icon Athena Research and Innovation Center In Information Communication & Knowledge Technologies
  • 5. ROR icon University of Cyprus
  • 6. UBITECH Limited
  • 7. UBITECH
  • 8. GAS SUPPLY COMPANY THESSALONIKI – THESSALIA SINGLE MEMBER S.A.
  • 9. Uninova

Description

The transition of artificial intelligence (AI) from research to deployment has underscored the critical importance of leveraging data effectively in developing and evaluating AI models. Despite their pivotal role in determining performance, fairness, and robustness, data are often undervalued in AI research, lacking a data-centric focus. In response, the AI-DAPT project pioneers a data-centric approach that aligns with AI methodologies to address the pressing need for reliable and trustworthy AI systems. This paper presents the AI-DAPT project and concept, highlighting its innovative solutions. Through advanced techniques like synthetic data generation and hybrid science-guided Machine Learning (ML), AI-DAPT aims to mitigate vulnerabilities in conventional AI paradigms. The developed solutions will be demonstrated in healthcare, robotics, energy, and manufacturing scenarios, hence navigating real-world complexities.

Notes

The version of the paper here available is the author's Accepted Manuscript (AM)

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Additional details

Funding

European Commission
AI-DAPT – AI-Ops Framework for Automated, Intelligent and Reliable Data/AI Pipelines Lifecycle with Humans-in-the-Loop and Coupling of Hybrid Science-Guided and AI Models 101135826