Empowering Artificial Intelligence to Achieve Sustainable Development Goals
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: 31 December 2025 | Viewed by 14
Special Issue Editors
Interests: artificial intelligence (AI); AI transparency; sustainable practices in AI-driven information systems; robotics; non-verbal communication; analysis of textual information; pattern recognition; data communication and visualization; visual analysis; facial emotion recognition
Interests: intelligent decision-making systems; robotics; human-computer interface; big data analysis; responsible artificial intelligence deployment; data and image processing; information technologies for applications in medicine
Interests: artificial intelligence (AI); transparency in AI; trusty AI; fair and sustainable AI practices; responsible AI in climate action and energy efficiency; big data and machine learning; natural language processing; data communication and visualization; visual analytics
Interests: artificial intelligence (AI); computer vision and pattern recognition; deep learning; AI in healthcare; human-controlled decision systems; trustworthy and explainable AI
Special Issue Information
Dear Colleagues,
As we stand at the crossroads of technology and global progress, artificial intelligence (AI) has emerged as a powerful catalyst for sustainable development. This Special Issue, "Empowering Artificial Intelligence to Achieve Sustainable Development Goals," aims to explore how AI can be effectively applied to meet the United Nations' Sustainable Development Goals (SDGs) outlined in the 2030 Agenda.
We invite scholars, practitioners, and innovators to contribute original research, insightful reviews, and case studies that highlight the transformative potential of AI in promoting sustainability. Our focus is on leveraging AI technologies to address pressing global challenges such as climate change, poverty, inequality, healthcare, and education. By showcasing practical applications and innovative solutions, we aim to demonstrate how AI can accelerate progress toward environmental, cultural, economic, and social well-being.
This Special Issue seeks to foster a multidisciplinary dialog that bridges the gap between AI advancements and sustainable outcomes. It will contribute to sustainability by providing an open platform for discussing how AI can be utilized across various sectors to achieve the SDGs, encouraging collaboration and knowledge sharing.
Topics of interest for this Special Issue include, but are not limited to:
* AI applications in environmental monitoring and conservation;
* Machine learning for renewable energy optimization;
* AI-driven solutions for poverty alleviation and economic development;
* AI in education for promoting inclusive and equitable learning;
* Smart cities and AI for sustainable urban development;
* AI in disaster prediction and management;
* Policy and governance of ethical AI for sustainability;
* Transparency and fairness considerations in AI for economic growth and decent work;
* Case studies of transparent and fair AI implementation in achieving SDGs.
We look forward to your valuable contributions that will help shape a sustainable and prosperous future for all.
Prof. Dr. Olexander Barmak
Prof. Dr. Iurii Krak
Prof. Dr. Eduard Manziuk
Dr. Pavlo Radiuk
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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.
Keywords
- artificial intelligence (AI)
- big data and machine learning
- sustainable practices in AI-driven information systems
- intelligent decision-making systems
- transparent AI systems
- explainable AI
- interpretable AI
- AI for social equity and inclusion
- data communication and visualization
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