Artificial Intelligence, ML & NLP

We are calling for case studies showcasing successful – and less successful – attempts at implementing AI regulatory frameworks. By examining what works and what doesn’t, and by pinpointing existing gaps, these case studies will provide insights into practical approaches, challenges faced, and lessons learned in the journey towards responsible AI utilization.  

The session delves into the imperative of AI integration in IMT-2030 (6G), emphasizing the need for AI-native design to enable new applications and services seamlessly. Unlike overlays or retrofitting, AI-native approaches ensure harmonious integration, where AI becomes intrinsic to user experiences. Discussions revolve around the transformation of networks into AI-native platforms, facilitating efficient data processing, […]

Discussion on use cases and AI-Native approaches to enable them takes us to foundational models, extensions, and customizations for each application domain and regional needs. Making open-source, human-centric, and autonomous AI solutions requires close collaboration between open-source, AI, and Standards.

This Workshop delves into the transformative potential of AI to shape our futures, emphasising a holistic approach that seeks benefits for all. It invites participants to imagine and contribute to the creation of futures where AI acts as a catalyst for societal progress, environmental sustainability, and inclusive growth. It’s not just about the future of AI, but about the […]

From Local Implementations to Global Standards,” organized by the International Expert Consortium on the Regulation, Economics, and Computer Science of AI (RECSAI), delves into the complex interplay between advancing generative AI technologies and the evolving landscape of global and local regulations. It aims to address a range of critical topics, including the ethical implications of […]

Multimorbidity, i.e. the co-occurrence of multiple chronic or acute conditions within a single host, represents one of the largest global health challenges of the 21st century and could become the next global pandemic. As people live longer and the incidence of chronic diseases continues to rise, the prevalence of multimorbidity is reaching unprecedented levels. New […]

ITU has launched two global calls to contribute to a global repository of AI-driven solutions for sustainable development: Call for Innovative AI use cases impacting sustainable development goals (here). Call to be an “AI for Good Scholar” to dedicate expertise to researching these innovative applications of AI (here). These global calls are supported by the Ministry of […]

This roundtable aims to facilitate a collaborative dialogue between key stakeholders in the AI industry, particularly focusing on building bridges between standards, regulations and industry development in AI. Hosted in Geneva, the event gathers diverse and different stakeholders to discuss the global collaborations and harmonization opportunities and challenges in the AI industry development. These stakeholders […]

The Summit is the leading United Nations (UN) platform for global and inclusive dialogue on Artificial Intelligence (AI), organized by ITU in partnership with 40 UN agencies and co-convened with the government of Switzerland.  The goal of AI for Good is to identify practical applications of AI to accelerate progress towards the Sustainable Development Goals […]