Page 6 - First special issue on The impact of Artificial Intelligence on communication networks and services
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ITU JOURNAL: ICT Discoveries, Vol. 1(1), March 2018




            Foreword

            Artificial Intelligence (AI) and Machine Learning (ML) are certain
            to influence a broad scope of ITU’s technical work. This first
            special issue of  the ITU  Journal provides  the context  for this
            influence from the perspectives of technology as well as business,
            law and ethics.

            Standardization experts contributing to ITU-T Study Groups are
            accelerating their studies of AI’s potential to assist their
            preparations for the 5G era.
            These studies  are looking to AI to bring more automation and
            intelligence  to network  design, operation and maintenance,
            introducing greater efficiency with network self-optimization.
            Automated virtual assistants are expected  to support the
            customization of multimedia services, and learning algorithms are
            playing an  increasing role  in the development of video
            compression algorithms and algorithmic tools to monitor quality
            of service and user experience. Cities of the future will be built on
            the smart use of data, with AI and machine learning delivering
            data-driven  insight to assist  cyber-physical  systems in adapting
            their behavior autonomously in the interests of efficiency.
            A new ITU Focus Group on ML for 5G is offering essential support to these studies by proposing technical
            frameworks to assist machine learning in contributing to the efficiency of emerging 5G systems.
            Machine Learning is expected to assist the ICT industry in meeting the challenges brought on by 5G and the
            Internet of Things, shifts representative of considerable increases in network complexity and the diversity of
            device requirements. The new ITU Focus Group on ML for 5G will define the requirements of machine
            learning as they relate to technology, network architectures and data formats. Key to this work will be the
            definition of required data formats and associated mechanisms to safeguard security and privacy.
            The AI for Good Global Summit is the leading United Nations platform for dialogue on AI, aiming to ensure
            that AI accelerates progress towards the United Nations' Sustainable Development Goals.

                  nd
            The 2  AI for Good Global Summit at ITU Headquarters in  Geneva, 15-17 May 2018, will continue to
            formulate strategies to ensure trusted, safe and inclusive development of AI technologies and equitable access
            to their benefits. The action-oriented 2018 summit will identify practical applications of AI and supporting
            strategies to improve the quality and sustainability of life on our planet. It builds on the success of the ground-
            breaking AI for Good Global Summit in June 2017, the first event to launch inclusive global dialogue on the
            actions necessary to ensure that AI benefits humanity.
            ITU’s standardization sector will continue to play an important role in ITU’s expanding set of activities on AI.
            This first special issue of the ITU Journal, the AI and Machine Learning studies of ITU-T Study Groups and
            our new Focus Group – alongside the AI for Good series – will be of great value to ITU standardization experts
            in their efforts to determine how their work could be of most value to AI innovation.













            Chaesub Lee
            Director
            ITU Telecommunication Standardization Bureau


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