Ms. Gayatri Tavva

Tools and Technologies for Ensuring Responsible AI

Abstract:

This presentation provides an overview of the latest tools and technologies designed to promote responsible AI development and deployment. As AI systems become more complex and widespread, ensuring ethical standards such as fairness, transparency, and accountability requires specialized solutions. We will explore emerging technical approaches, including bias detection and mitigation tools, explainability frameworks, audit and monitoring platforms, and data privacy enhancements. The talk emphasizes how these tools enable developers, organizations, and policymakers to implement responsible AI practices effectively. Additionally, we will discuss the future outlook of technological innovations aimed at safeguarding societal values and fostering trust in AI systems
 

Profile:

Distinguished Lead Data Engineering Architect with 15+ years of experience designing and implementing scalable data infrastructure and innovative analytics solutions. Demonstrated expertise in AWS cloud-based data architectures, leading cross-functional teams, and optimizing ETL frameworks for high-performance data processing. Pioneer in developing real-time data solutions and intelligent user interfaces for enhanced data interaction. Notable achievements include successful enterprise-scale data migrations, creating AI-enabled automated anomaly detection systems, and developing AI-driven HR analysis solutions.