“CARE for Smarter Society” aims to discuss computational models of collaboration for Smarter Society scenarios, addressing theoretical and practical issues. This research and development will support the design of new applications and contribute to increasing quality of health and living, promoting citizen participation, and community engagement. We seek contributions of members in research and industry that apply AI and the agent paradigm to approach problems in areas of Smarter Societies. The CARE workshop series not only addresses a gap in the existing agent and AI landscape, but also aims to push the boundaries of existing work by addressing problems that are new to the agent community and that present the community with exciting applications. Collaborative care is today’s primary means to achieve complex outcomes and to increase the lifetime value of the cared entities. Collaboration enables agents to achieve complex goals that are difficult or impossible to attain for an individual agent. This collaboration takes place under conditions of incomplete information, uncertainty, and bounded rationality, much of which has been previously studied in economics and artificial intelligence. However, many real world domains are characterised by even greater complexity, including the possibility of unreliable and non-complying collaborators, complex market and incentive frameworks, and complex transaction costs and organisational structures. How can we create computational models, representations, algorithms and protocols to enable the next generation of intelligent collaborative care technologies? How can we build technologies that support collaboration under this complexity and uncertainty? In "CARE for a Smarter Society" the application domains include (not an exhaustive list): healthcare, medicine, bio-engineering, large events coordination, emergency scenarios, smarter campuses, smarter buildings, smarter transportation, smarter education, and business processes. For example, it includes solutions for people orientation in large events, through enhanced navigation system allowing navigation route and destination planning according to user-specific criteria along with awareness of surrounding events and the availability of transportation resources. In these scenarios, caring requires the coordination of team members in different organisations to work collaborative to attain a common goal: provide the best orientation for each citizen taking in consideration individuals' needs. Other examples include the long term care of patients with a chronic disease (patient care), support of students in their studies (student care), and service provision in telecommunication (customer care). The one day workshop will feature a mixture of invited talks, discussions and submitted contributions describing current work or work in progress in intelligent systems for research and technology. The workshop environment fosters open discussions among all participants, particularly encouraging students to discuss their research topics and seek feedback from senior agent researchers.