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)
Conclave on Safe and Trusted AI
The Conclave on Safe and Trusted AI, a public event being hosted along with the Hybrid Meeting of the Safe & Trusted AI Working Group, under the India AI Impact Summit 2026, is being organized by the Centre for Responsible AI (CeRAI), IIT Madras, on December 11, 2025. The conclave will bring together global experts, policymakers, researchers, and industry leaders to advance discussions on building reliable, responsible, and trustworthy AI. The discussions will focus on building an open AI safety repository and developing practical, context-aware governance frameworks for the Global South.
Interested in becoming a part of the public event? Register now!
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Related Pre-Summit Events
Join related events building momentum for the summit
The TASI Festival brought together over 100 leaders from government, industry, academia, and civil society to discuss online trust, safety, and digital well-being. Spearheaded by the Centre for Social Research, the event focused on AI safety, content moderation, and responsible digital innovation. Through panels, workshops, and collaborative sessions, the festival generated policy recommendations, strengthened cross-sector networks, and advanced national capacity on digital safety.
The “Responsible AI Innovation in Healthcare” conference, organized by IIM Ahmedabad in collaboration with CoRE-AI and the Ministry of Electronics and Information Technology brought together doctors, healthcare administrators, technologists, policymakers, and academics to discuss the safe and effective integration of AI into India’s healthcare ecosystem. It highlighted India-centric innovations while drawing from global best practices, underscoring the transformative potential of AI in healthcare.
The Global Ethics Forum 2025, held in Geneva, convened policymakers, academics, civil society, and industry leaders to explore ethical challenges in governance under the theme “Reinventing Responsible Governance.” The AI track focused on safe and trusted AI and inclusion, featuring plenaries and breakout sessions to generate actionable recommendations for the IndiaAI Impact Summit 2026. The Forum emphasized diverse representation, civil society’s role, and multisectoral dialogue to address AI safety risks and foster inclusive, ethically governed AI systems, producing outcome reports on AI safety and inclusion designed to inform the Summit.
