Artificial Intelligence for Sustainability Development

Dear Colleagues, 

As artificial intelligence (AI) continues to progress at a rapid rate, its wider impact on several sectors necessitates an assessment of its contribution to achieving the Sustainable Development Goals (SDG). Smart technology-assisted development may lead to improved global productivity, equality and inclusion, and environmental outcomes. In order to enable sustainable development, AI-based technologies must be supported by the necessary regulatory insight and oversight, the failure of which could lead to gaps in safety, ethical standards, and transparency. Sustainable development relies on AI for planning the future of the planet more effectively, in terms of designing, executing, and advising. Advancements in technology can not only assist us in building more efficiently, but also in using resources sustainably to reduce and manage waste more effectively.  Applying AI techniques to urban mobility may enable the prediction of traffic jams, so that alternative routes can be suggested. Moreover, AI can be utilized in farming, to predict crop requirements, and the use of drones can assist farmers with image analysis, surveillance, and pest control.

AI can be applied to many fields, promoting social good in an efficient manner. We encourage contributions of research papers on smart technology-driven sustainable development, built on empirical experiments and exploratory analyses. We also welcome original contributions, along with data- and knowledge-driven AI solutions. This Special Issue will  explore many fundamental concepts, and associated AI techniques and applications.  

The topics of interest include, but are not limited to, the following:

• Artificial neural networks;
• Case-based reasoning;
• Evolutionary computing;
• Fuzzy computing;
• Hybrid intelligent systems;
• Image processing;
• IoT architectures;
• Intelligent agents and multiagent systems;
• Machine learning;
• Metaheuristics;
• Natural language processing;
• Reasoning under uncertainty;
• Reinforcement learning;
• Smart planning;
• Security and privacy in smart technologies.

The application fields of interest cover, but are not limited to, the following:

• Contactless technology;
• Global warming;
• Real-time sensor data and advanced artificial intelligence;
• Natural resource management;
• Clean water and sanitation;
• Quality education;
• Waste management;
• Smart farming;
• Mobility;
• Traffic management;
• Autonomous drones;
• Smart transportation.

Dr. Raghvendra Kumar
Prof. Dr. Ishaani Priyadarshini
Guest Editors

Manuscript Submission Information

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