SAFE-AGENT-L Framework: Engineering Legal-Safe, Explainable GenAI for Large-Scale Autonomous Systems

#AI #ML #AINative #GenAI #AgenticAI #AIAgent #ExplainableAI #XAI #trustworthy #automation #networks #communications #futurenetworks #ieee #ingrwebinar2026

Special Presentation by Vasanth Rajendran (Amazon, USA)

Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group

Date/Time: Thursday, 19 February 2025 @ 12:00 UTC (12 PM GMT)

Topic:

Autonomous Retail Agents and the SAFE-AGENT-L Framework: Engineering Legal-Safe, Explainable Generative AI for Large-Scale Autonomous Systems 

Abstract:

Next-generation autonomous generative AI systems depend on continuous, low-latency, and highly reliable communication among distributed models, services, and agents to enable real-time decision making at scale. This talk introduces the SAFE-AGENT-L governance and system-design framework for building safe, accountable, and explainable AI-driven retail agents, with explicit focus on the bidirectional relationship between these agents and the underlying communication networks. This presentation examines the concrete requirements that large-scale autonomous agent systems impose on communication networks, including ultra-low-latency coordination, reliable and ordered message delivery, context propagation, distributed observability, and resilience to partial failures. It also discusses how real-world network characteristics such as variable bandwidth, latency spikes, packet loss, and asynchronous communication have shaped the design of safety controls, policy enforcement, and explainability mechanisms within the SAFE-AGENT-L framework. Drawing from applied experience with large-scale generative AI systems and network-mediated workflows, the talk shares lessons that directly inform the design of AI-native future networks, including agent-to-agent communication patterns, adaptive routing of AI control signals, network-supported auditability, and trustworthy automation. The session concludes with implications and recommendations for next-generation communication networks that natively support safe and scalable autonomous AI systems.

Speaker:

Vasanth Rajendran is an engineering leader at Amazon specializing in large-scale artificial intelligence systems and generative AI. He leads cross functional engineering and science teams building production deployed multimodal and generative systems that power retail discovery, personalization, and automated content generation for hundreds of millions of customers worldwide. His work focuses on autonomous AI systems, applied machine learning, multimodal reasoning, and responsible AI deployment at scale. Vasanth is an IEEE Senior Member and a Sigma Xi member, and an active contributor to the global AI research community. He has authored multiple peer reviewed publications and regularly serves as a reviewer, session chair, and invited speaker across IEEE and leading AI venues.

Brochure (PDF): Webinar-AIML-2026-02-19-Rajendran-SafeAgentL-Brochure.pdf