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Working Groups At The AI Impact Summit / Safe & Trusted AI

Safe & Trusted AI Working Group

Building globally trusted AI systems anchored in transparency, accountability, and shared safeguards for innovation

About The Working Group

Rising AI safety incidents threaten public trust and reveal gaps in governance capacity worldwide. While the world has agreed on high-level principles for responsible AI, there remains a lack of clarity on how to operationalize them in practice. The Safe & Trusted AI thematic working group aims to address these challenges by fostering inclusive dialogue, building global capacity, promoting interoperable governance approaches, and exploring actionable pathways to operationalize AI safety.

Vision & Objectives

Building an equitable global AI ecosystem

The Safe & Trusted AI Working Group envisions a global AI ecosystem where safety, reliability, and trustworthiness are embedded in AI systems, enabling innovation that people and societies can trust.

Leadership

Prof. Balaraman Ravindran

India Co-Chair

Head - Department of Data Science and AI, IIT Madras

Prof. Balaraman Ravindran is the founding head of the Wadhwani School of Data Science and AI, the Robert Bosch Centre for Data Science and AI, and the Centre for Responsible AI (CeRAI) at IIT Madras. With over three decades of experience in machine learning and reinforcement learning, he is one of India’s leading voices in ethical and responsible AI research. His current work spans deep reinforcement learning, algorithmic fairness, and AI governance. He serves on the Government of India’s advisory group on AI and was part of the committee that authored the FREE-AI report for the Reserve Bank of India. He has collaborated extensively with global research institutions and industry partners to promote trustworthy and context-sensitive AI systems. Prof. Ravindran is a Fellow of the Indian National Academy of Engineering (INAE) and the Association for the Advancement of Artificial Intelligence (AAAI) and is widely recognised for his leadership in advancing AI research and education in India.

Brazil

Country Co-Chair

Japan

Country Co-Chair

Key Issues

Understanding the global AI divide and our approach to bridging it

The Challenge

The rapid advancement of AI has introduced novel and complex risks, from algorithmic bias and misinformation to autonomous decision errors and unanticipated model behavior. Many countries lack the technical capacity, institutional frameworks, and resources to assess, manage, and respond to these risks, concentrating the ability to ensure AI safety within a limited set of actors.

The Solution

Addressing these challenges requires promoting shared safety resources, interoperable governance frameworks, and inclusive capacity-building that enable all nations to participate in shaping and operationalizing AI safety frameworks. This approach can reduce global disparities in AI oversight, enhance the robustness and reliability of AI systems, and strengthen public trust in AI technologies.

The Impact

By fostering international cooperation and actionable pathways for AI safety, this effort can accelerate responsible innovation, mitigate systemic risks, and ensure that the benefits of AI are realized safely and equitably, thereby advancing the AI Impact Summit’s vision of inclusive, responsible, and sustainable AI for all.

Meeting Schedule

10th-11th December 2025

Hybrid Meeting (Chennai)

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Join related events building momentum for the summit

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