Data Fusion Approaches in Data-Centric AI for Developing Trustworthy AI Systems

Prazo para submissão: 15 December 2024

Data de Notificação: 01/04/2025

Editora: Elsevier

Revista: Information Fusion

Link: https://www.sciencedirect.com/special-issue/314206/data-fusion-approaches-in-data-centric-ai-for-developing-trustworthy-ai-systems

Detalhes:

Data-Centric AI, the process of continuously and systematically transforming imperfect data into high-quality data, is increasingly becoming the central piece of Trustworthy AI solutions. Within this new paradigm, data is treated dynamically through the AI development lifecycle (from data collection and exploration, to model training/testing, deployment, and monitoring), requiring the development of innovative strategies regarding scalable, continuous, and iterative Data Fusion. Exploring multip