AI for People 2020 : AI for People
Call For Papers
Call for Papers for the 1st special session on ‘AI for People’, organized in conjunction with the EAI GOODTECHS 2020.
September 14-16, 2020, Antwerp, Belgium
Full Paper Submission deadline: 1 June 2020
Notification deadline: 13 July 2020
Camera-ready deadline: 30 July 2020
GOODTECHS Steering and Organizing committees, due to the current COVID-19 situation, have decided to make our 2020 Edition fully virtual to eliminate uncertainty and to ensure the health, safety, and well-being of our research community and society in general.
Call for Papers
Social good is something that benefits the general public and to the largest number of people. Hence, it can be defined as global citizens uniting to unlock the potential of individuals, technology and collaboration to create positive societal impact. It is about engagement, shareability and bringing people together to change the world for the better. At the same time, Artificial Intelligence (AI) research is mature enough for stable algorithms and approach to be used and play a crucial role in the aforementioned environments, enabling the deployment of revolutionary services and applications. It is envisioned that both the social interaction and the integration with smart devices will meaningfully impact societal development sustainability.
This special session is dedicated to addressing major challenges in realizing intelligent platforms based on recent innovation in AI systems that can provide new ways of approaching problems and meaningfully improve people’s lives. We expect works that focus on the following areas: health, education, protecting democracy, urban planning, assistive technology for people with disabilities, smart and sustainable agriculture/fishing, environmental sustainability, search and rescue operations, emergency management, economic inequality, social welfare, justice, ethics, privacy, and security. The numerous emergent intelligent applications for social good may require an interdisciplinary approach, involving techniques from AI to communication networks, from IoT to data analysis, from social science to complex systems.
Authors are solicited to submit original, previously unpublished papers in the following, but not limited to, topic areas:
- Emerging trends of AI for social good
- Application of Deep, Unsupervised and Reinforcement Learning techniques
- Continual Learning and Adaptation
- AI for smart cities
- Environmental quality monitoring
- Humans and goods transportation systems
- AI for emergency management
- Fog/Edge computing for the real-time execution of AI and data analytic
- Experimental results, simulators and benchmarks
Invitation for selected papers
Best-selected papers will be invited to submit an extended paper for publication in a dedicated Special Issue, 'AI for People', of AI&Society: Knowledge, Culture and Communication (Springer) journal.
All accepted and presented papers will be published in ACM International Conference Proceeding Series — ICPS and made available through ACM Digital Library. The registered papers must follow the guidelines below:
- Papers should be in English.
- Regular papers should be up to 6 pages in length.
- WIP and PhD track papers should be 4 pages in length.
- Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review.
Proceedings will also be submitted for inclusion in other leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).
Community Review is a service offered to Program Committees and submitting Authors of all EAI conferences designed to improve the speed and the quality of the review process.
Abstracts of all authors who opt-in to Community Review during submission will be published and available for Bidding here (https://eai.eu/#!/community/collaborate-and-review).
Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the ACM format (see Author’s kit section - http://goodtechs.eu/submission/#authorskit).
- Angelo Trotta, University of Bologna, Bologna, Italy - AI for People (aiforpeople.org)
- Vincenzo Lomonaco, University of Bologna, Bologna, Italy - AI for People (aiforpeople.org)