Special Issue "AI and Interaction Technologies for Social Sustainability"
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (15 June 2022) | Viewed by 9820
Interests: computer vision; affective computing; social signal processing; pattern recognition; machine learning; multimodal representation learning; behavioural analytics; human behaviour understanding
Over the past decade, technology and interactive systems are becoming an integral part of our society. Artificial intelligence (AI) is becoming intertwined in our daily life and progressively having a wider impact on many sectors. It is necessary to assess innovation’s effect on the achievement of the sustainable development goals.
Although sustainable goals are often not directly considered the main objective when developing and creating new AI models and computer interaction interfaces, many applications of these technologies, such as in healthcare, smart cities, education and welfare, will have a powerful and direct impact on people’s lives and could play a crucial role as catalysts in developing a sustainable society.
This Special Issue generally aims to i) synthesize how AI might change (and is already changing) our society, ii) serve as a display of the potential of intelligent and interactive technologies for ensuring a thriving and sustainable society, as well as iii) provide a synopsis of the developments needed in order to leverage this sustainable technological revolution on a global scale.
Dr. Marwa Mahmoud
Dr. Maria Perez-Ortiz
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- AI for social good
- human–computer interaction for social sustainability
- fair and responsible AI
- social signal processing
- AI in low resource settings and global challenges
- transparent and accountable machine learning
- affective computing
- AI in biomedicine and healthcare
- intelligent interactive systems in education
- interactive and sustainable smart cities