The overall project aim is to bring RRI into the linked up global world to promote mutual learning and collaboration in RRI. This will be achieved by the formation of the global RRING community network and by the development and mobilisation of a global Open Access RRI knowledge base. RRING will align RRI to the Sustainable Development Goals (SDGs) as a global common denominator. The RRING project acknowledges that each region of the world is advancing its own agenda on RRI. Therefore, RRING will not be producing a Global RRI framework or strategy that is meant to be enforced in a top-down manner. Rather, increased coherence and convergence will be achieved via a bottom-up approach, learning from best practices in RRI globally and from linkages, via the new RRING community, to develop the RRI linked-up world. Six Objectives of RRING Objective 1: Promote a linked up global world of RRI by creating the global RRING community network, thereby enabling mutual learning, collaboration, mobilisation of RRI concepts. Objective 2: Mobilise, promote and disseminate a global open access knowledge base of RRI based on the State of the Art (SoA) and comparative analysis across the key geographies, all stakeholders and sectors. It will cover key platforms, spaces and players, role and influence of stakeholders, drivers and policies for R&I, regulation in public,private sectors and nation states and international organizations. Objective 3: Align RRI to the UN Sustainable Development Goals (SDGs) to provide a global common denominator for advancement of RRI, and address Grand Challenges globally. Objective 4: Determine the competitive advantages of RRI and also understand how and where RRI is perceived as a barrier and/ or disadvantage. Objective 5: Create high level RRI strategy recommendations for the seven geographic zones, trial RRI best practice learning in 2 EU case studies Objective 6: Promote inclusive engagement of civil society and researchers

Artificial Intelligence technology is already having a great impact in many areas, especially including the manufacturing sector. The integration of AI with advanced manufacturing technologies and systems makes it possible to exploit the full potential in the manufacturing industry by achieving a higher level of adaptability, efficiency and robustness. At the same, such systems will be human centric and promote the inclusion and cooperation with humans during planning and execution which can help to improve the quality of products and processes. Both the EU and Japan have recognised these new development trends and their importance. In order to widely deploy these technologies, special attention is given to international cooperation and exchange of knowledge between EU and Japan for AI-driven innovation in manufacturing. The EU-Japan.AI project is responding to this need by implementing a platform-based approach to connect all the relevant stakeholders from EU and Japan working on AI applications for manufacturing. This platform, beside other tools, will include an open-information hub, encouraging the exchange of information on the respective research programmes and technological results. This will be supported by distribution of topic relevant materials, information on upcoming events and matchmaking opportunities and twinning activities to establish a vibrant and connected network at the heart of the platform, where a community of practice approach will facilitate the cooperation of all the participants. Convergence workshops will help to establish how research and innovation projects should address AI for manufacturing, the needs and requirements for AI from the point of manufacturers’ view as well as to address current needs and future requirements. Overall, the project aims to establish, stimulate and support a long-term cooperation between the participants, by connecting them via the project’s platform and by using modern, online-driven awareness approaches.