Landscape & Gap Analysis

The Report provides an encompassing compilation of standardisation efforts underway in the framework of European SDOs, such as CEN and ETSI, Government, Public Bodies and Agencies, such as the European Commission, the European Data Portal, European Parliament and the HLEG-AI and JRC, Global SDOs and initiatives, such as IEC, IEEE, ISO/IEC, ITU-T, WEF, W3C, as well as non-EU, country-specific contributions including China, Germany, Japan, UK and USA and relevant contributions from other organisations (BDVA, G20, Khronos, OECD, SAE International).  

This report is the official Road Map analysis from the CEN-CENELEC Focus Group on AI. It builds on a strong consensus of over 80 experts. The Focus Group has established an overall framework for European AI standardization, by developing a high-level vision (chapter 1.2).

This report outlines nine potential signature initiatives for Europe: bold actions that set a high bar and that directly address the four objectives for Europe’s digital transformation. This report summarises the outcome of the study Shaping the digital transformation in Europe performed by McKinsey for the Directorate-General of Communications Networks, Content and Technology (DG CONNECT).

Vertical stakeholders often have significant problems in orienting themselves within the standardisation landscape. An introductory guide to the standards groups, destined in particular to accompany the online standardisation tracker, has been prepared and will go online as part of the Global5G.org mission to assist verticals in representing their interests within the standardisation groups.

A joint-effort between ITU and over 35 other UN agencies and bodies, and all partners of 2019's AI for Good Global Summit, this report provides information about the diverse and innovative activities related to artificial intelligence (AI) across the UN system to meet many of our world's increasingly urgent challenges, from responding to humanitarian crises to tackling climate change.

This White Paper explores key issues of Artificial Intelligence (AI) that present both huge opportunities and new challenges for information and communication technologies (ICT).