To achieve sustainable development (SD), ecological considerations must be incorporated into economic processes. The idea is to generate a logical environment in which development is challenged to enhance all aspects of quality of life. SD integrates human awareness and aims to tackle the challenges of overconsumption and waste.

Applying sustainable development in industrial systems and maintaining required resources for future generations are current challenges. In recent years, sustainable development has become considerably important for businesses and industry. Many studies have previously discussed appropriate, eligible and optimal solutions for industries to fulfill the requirements of SD. Moreover, different techniques and tools have been widely utilized and designed by researchers and policymakers to solve these complex problems. Machine learning-based techniques are among the most applicable ones in artificial intelligence (AI) systems. In the future, experts believe almost all aspects of human daily life will be influenced by the advancement of these tools. Therefore, these tools are continuously being developed.

The aim of this Special Issue is to bring together original research and review articles that highlight the role of ML in developing AI systems in multidisciplinary fields. Submissions should emphasize current and novel concepts and methods.

Potential topics include but are not limited to the following:

• Machine learning in developing sustainable production/manufacturing systems with AI
• Machine learning in developing sustainable waste management systems with AI
• Machine learning in developing sustainable supply chain systems with AI
• Machine learning in developing sustainable logistic systems with AI
• Machine learning in developing sustainable healthcare management systems with AI
• Machine learning in developing sustainable project management systems with AI
• Machine learning in developing sustainable resource allocation systems with AI