Track Chairs

Peter Baranyi, Corvinus Institute for Advanced Studies, Corvinus University of Budapest, Hungary
peter.baranyi@uni-corvinus.hu

Gyula Zilahy, Institute of Sustainable Development, Corvinus University of Budapest, Hungary
gyula.zilahy@uni-corvinus.hu

Goals and Objectives of the Track

AI Transformation refers to the integration of AI-based technologies into the products, processes, and strategies of individuals, organizations, and societal entities, resulting in new capabilities and significant performance enhancements across the economy, business, management, and digital environments.

Within this context, the conference track Sustainability and AI explores the transformative impact of Artificial Intelligence on sustainability concepts, practices, and strategies. This track moves beyond viewing AI as a mere tool for improving existing sustainable practices. Instead, it positions AI as a fundamental force that is reshaping how sustainability is understood, approached, and implemented across diverse fields.

The Sustainability and AI track seeks to advance both theoretical and practical perspectives, fostering the development of new frameworks, methodologies, and applications at the intersection of AI and sustainability. Topics of interest include (but are not limited to):

• AI-driven innovations for environmental monitoring, climate action, and resource optimization
• Machine learning and predictive models for circular economy and sustainable production
• Ethical considerations and governance of AI in sustainability applications
• AI-enabled behavioral interventions to promote sustainable consumption and lifestyles
• The role of AI in advancing sustainable urban systems and smart cities
• Transformative case studies where AI technologies have reshaped sustainability strategies
• The impact of AI on supply chains, energy systems, and carbon footprint reduction

This track provides a platform for researchers, practitioners, and policymakers to share insights, case studies, and solutions that leverage AI as a driver of sustainable development. It encourages interdisciplinary dialogue to bridge the gap between AI advancements and sustainability challenges, ultimately contributing to innovative pathways toward a sustainable future.

Length and content of the proposed abstract to the track

Each proposed abstract (in connection to one of the areas pointed out above) within 300 and 500 words (including everything)

1. shall be best organized (without headlines) along usual structures (e.g. intro/method/findings or results/ discussion/conclusions)
2. does not need to, but can include references
3. shall provide in a final section with a brief indication how the proposed contribution relates to the topic of the Conference ‘Sustainability and Beyond’

Abstracts which do not outline points 3.a.) AND 3.b.) might be considered less relevant in the Review.

Potential publication channels

With regard to potential publications, depending on the number and quality of contributions, diverse publication opportunities will be envisaged.