AI-Driven Federated Data Governance: Building Trustworthy and Sustainable Digital Ecosystems

Authors

  • Ravindra Putchakayala Sr. Software Engineer, U.S. Bank, Dallas, TX, UNITED STATES
  • Rohit Yallavula Data Governance Analyst Kemper, Dallas, TX, UNITED STATES

Keywords:

AI-Driven Data Governance, Federated Governance, Privacy-Preserving Architecture, Responsible AI Systems, API-Centric Controls

Abstract

Through a data utilisation value chain, AI/Data commons will promote the construction of an open collaborative ecosystem based on PCI (Participation- Collaboration-Incentives). This will be accomplished by preserving data sovereignty and protecting sensitive data. Furthermore, it is capable of resolving a wide range of user-defined and customised AI issues. This study presents the design of a high-level functional architecture for trustworthy artificial intelligence and data commons resources.

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Published

2024-02-17

Issue

Vol. 7 No. 1 (2024): Volume (1) 2024

Section

Articles