Sasibhushan Rao Chanthati

Designing Trustworthy Artificial Intelligence: Privacy-Preserving Architectures for the Next Generation of Enterprise-Scale Intelligent Systems

Abstract:

The presentation argues that trustworthiness must be treated not as an external compliance layer, but as a core architectural property embedded directly into the structure of intelligent systems. The keynote introduces a conceptual and architectural framework for trust-by-design AI, integrating privacy-preserving data pipelines, governance-aware orchestration, controlled knowledge retrieval mechanisms, audit-ready model lifecycle management, and policy-embedded decision infrastructures. Rather than focusing on isolated algorithms or models, the session emphasizes the importance of architectural intent, structural accountability, and system-level design principles in shaping long-term trust outcomes. By bridging perspectives from artificial intelligence research, enterprise systems engineering, and responsible technology governance, this keynote outlines how organizations and institutions can evolve from experimental AI adoption toward resilient, accountable, and socially aligned intelligent infrastructures. The session offers strategic insight for researchers, architects, policymakers, and practitioners seeking to shape the future of trustworthy AI systems.

Profile:

Mr. Sasibhushan Rao Chanthati is a distinguished technology professional and researcher specializing in Enterprise Software Engineering and Applied Artificial Intelligence and Machine Learning Systems, with over a decade of experience architecting and scaling enterprise platforms in highly regulated environments, He served as software principal engineer at T. Rowe Price and Other distinguish org's. He is the author of 13 peer-reviewed scholarly publications, holds 9 copyrighted unpublished technical manuscripts, and has contributions archived in two university repositories, with research presented through IEEE peer-reviewed platforms. He serves as a distinguished judge and peer reviewer for IEEE, ACP, and Business Intelligence industry awards, and is an invited speaker at Data Science Salon and S&P Global. He is also an active technical contributor within ServiceNow, ISACA, and other professional communities, and a recipient of the Global Recognition Award (2024) and Noble Business Award (2025) in Information Technology.