SPECIAL SESSION #07

Luigi Duraccio

University of Naples Federico II, Italy

• luigi.duraccio@unina.it

Immacolata Esposito

University of Naples Federico II, Italy

• immacolata.esposito4@unina.it

This Special Session addresses the twofold relationship between Artificial Intelligence and sustainability. On the one hand, it focuses on AI-based methods, tools, and systems supporting sustainable development, including energy efficiency, environmental monitoring, smart infrastructures, circular economy, sustainable industry, and data-driven decision-making. On the other hand, it considers the sustainability of AI itself, with attention to energy consumption, computational efficiency, lifecycle impact, data quality, transparency, robustness, and responsible deployment. The session welcomes contributions dealing with methodological, experimental, and application-oriented aspects of AI for sustainability and sustainable AI. Particular emphasis is placed on measurement approaches, metrological frameworks, uncertainty-aware evaluation, and impact assessment methods aimed at quantifying the reliability, trustworthiness, and real sustainability benefits of AI-based solutions.

Topics of interest include, but are not limited to:

• AI-based methods for sustainable development and sustainability assessment;
• AI for energy efficiency, smart grids, renewable energy systems, and energy management;
• AI for environmental monitoring, climate-related applications, and pollution assessment;
• AI for smart cities, smart infrastructures, and sustainable mobility;
• AI for circular economy, resource optimization, waste reduction, and lifecycle management;
• AI for sustainable manufacturing, Industry 5.0, and green industrial processes;
• AI-supported decision-making for sustainability-oriented policies, services, and systems;
• Measurement methods and metrological frameworks for assessing AI-enabled sustainability solutions;
• Uncertainty-aware evaluation of AI models and AI-based decision systems;
• Metrics and indicators for quantifying the sustainability impact of AI-based technologies;
• Energy consumption, carbon footprint, and lifecycle assessment of AI systems;
• Computational efficiency, lightweight models, edge AI, and green AI;
• Data quality, data governance, and sustainable data management for AI;
• Explainability, transparency, robustness, and trustworthiness of AI for sustainability;
• Responsible, ethical, and human-centered AI for sustainable innovation;
• Benchmarking, validation, and standardization of sustainable AI systems;
• Case studies and experimental applications of AI for sustainability and sustainable AI.

Luigi Duraccio obtained his Ph.D. (cum laude) in metrology from the Polytechnic University of Turin, Italy, in 2023, with a thesis on the digital transition in healthcare. He is currently a Researcher with the Department of Electrical Engineering and Information Technologies (DIETI) of the University of Naples Federico II. His research interests include applied metrology to the digital transition of industry and healthcare, artificial intelligence, environmental sustainability, human-machine interaction, extended reality, cyber-physical measurement systems, and measurement uncertainty.

Immacolata Esposito received her M.S. degree (cum laude) in biomedical engineering from the University of Naples Federico II, Italy, in 2023. Her master's thesis explored the complexity and connectivity measures of EEG signals for uncovering altered brain dynamics in Alzheimer's disease. She is currently a Ph.D. student in Information and Communication Technology for Health at the University of Naples Federico II. Her current research interests involve measures of sustainability and cyber-physical measurement systems.