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ARISDE 2024 : 1st International Workshop on Artificial Intelligence for Sustainable Development


When Jul 1, 2024 - Jul 3, 2024
Where Virtual event
Submission Deadline May 15, 2024
Notification Due Jun 5, 2024
Final Version Due Jun 20, 2024
Categories    artificial intelligence   sustainability   machine learning   deep learning

Call For Papers

Please consider to send your contribution to:
1st International Workshop on Artificial Intelligence for Sustainable Development (ARISDE 2024).

In the last few years, AI systems have emerged as the new frontier of the digital transition and innovation for supporting sustainable development in everyday life. This is relevant in the context of the Sustainable Development Goals that must be achieved by 2030 globally by all UN member countries. This means that every country on the planet is called upon to provide its contribution to jointly address these challenges, including fighting against poverty and hunger, health and wellness, inclusive and equitable quality education, affordable, reliable, sustainable and modern energy, sustainable consumption and production models, fighting against climate change and its consequences, sustainable use of oceans, seas and marine resources.

According to these needs, the 1st International Workshop on Artificial Intelligence for Sustainable Development (ARISDE 2024) aims to be a premier forum for presenting survey and original academic and industrial research contributions in machine learning and deep learning, translation, classification and clustering, information extraction, speech recognition, expert systems, robotics and affective computing, intelligent human-agent interaction, vision, planning, scheduling and optimisation, favouring a sustainable societal development.

ARISDE 2024 is also proposed as a stimulating environment for industrial partners that want to present innovative products and services pursuing the 2030 UN objectives for sustainable development.

TOPICS TO BE DISCUSSED (but not limited to)
- Machine and deep learning for inclusive and equitable quality education
- AI for sustainable use of oceans, seas and marine resources
- Sustainable AI
- Responsible AI for societal sustainability
- Generative AI for healthcare and personalised medicine
- Intelligent smart technologies for sustainability in developing countries
- New sustainable AI models for businesses and public administrations
- Innovative AI methods for development of skills, business infrastructure and digitalisation of public services
- Affective computing, vision and robotics for health and wellness
- Intelligent human-machine interfaces
- Intelligent systems for personalised teaching
- Clustering and classification models in energy consumption
- Expert systems and digital twin in healthcare and education
- Predictive models for air pollution and ecological footprint
- Green AI
- Speech recognition in healthcare and education
- Sustainable planning, scheduling and optimisation methods
- Ethics and sustainability of AI systems
- Language models and sustainability
- Human-centric evaluation of AI systems
- AI and human rights

- Alessia Amelio
- David Perpetuini
- Goran Veljanovski
- Ijaz Ahmad
- Daniela Cardone
- Elisa Maia
- Arcangelo Merla
- Roberto Aufieri
- Paolo Martino
- Paola Mondani
- Antonio Panichella
University "G. d'Annunzio" Chieti-Pescara, Italy
Research Laboratory "Hugo Gernsback", Telematic University "Leonardo da Vinci", Italy




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