The growing capability and impact of Artificial Intelligence (AI) across industrial and socio-technical settings calls for increased global collaboration on responsible design, development, deployment, and responsible adoption, use and application. TC RAI aims to bring together academic researchers, industry leaders, practitioners, policymakers, and students with technical, research and application interests in diverse topics of Responsible AI, including, AI Models and Algorithms, Data Centres and AI Infrastructure, Industrial Applications of AI, Predictive and Explainable AI, AI Safety and Security, AI Agents and Bots, Physical AI and Robotics, Machine Reasoning and Memory, Multidisciplinary Practice of AI, AI in Education, AI Ethics and Regulation, Neuro-symbolic and Brain-inspired AI, and Emerging Topics of Quantum and AGI. This committee aims to bring together relevant stakeholders, academic researchers, industry leaders, practitioners, policymakers, and students, to present research innovations, debate research challenges, exchange knowledge and experiences, and foster collaboration on the diverse topics

Current research in the area of Responsible Artificial Intelligence include (but are not limited to):

• AI Models and Algorithms
• Data Centres and AI Infrastructure
• Industrial Applications of AI
• Predictive and Explainable AI
• AI Safety and Security
• AI Agents and Bots
• Physical AI and Robotics
• Machine Reasoning and Memory
• Multidisciplinary Practice of AI
• AI in Education
• AI Ethics and Regulation
• Neuro-symbolic and Brain-inspired AI
• Emerging Topics of Quantum and AGI
• AI and Ethical Decision Making
• Algorithmic Bias
• Artificial Intelligence Societal Implications
• Autonomous Systems in Society