Artificial intelligence and sustainable economy
Submission deadline: 2024-10-07
Alexandru TUGUI
Prof. Ibikunle,FrancisA.
Section Collection Information
Dear Colleagues,
Sustainability is the key to ensuring our planet's future in today's evolving world. Interwoven with this vision is the rising influence of "Artificial Intelligence" (AI) in promoting sustainable economic
practices. AI transcends traditional methods by offering innovative solutions to address economic sustainability. It integrates fields like Computer Science, Robotics, Machine Learning, and advanced analytics to identify, predict, and address sustainability issues in the economic realm.
"Artificial Intelligence and Sustainable Economy" centres on harnessing the power of AI tools,methodologies, and algorithms to drive sustainable economic growth. Just as computational mathematics underpins data science, sustainable economic principles become more actionable when
powered by AI 's predictive and analytical capabilities. These AI models can identify inefficiencies, optimize resource allocation, predict economic downturns, and recommend sustainable alternatives, ensuring the long-term viability of both businesses and ecosystems.
This section aims to champion AI's role in shaping a sustainable economic future. Recognizing the interdisciplinary nature of AI and its transformative impact across diverse sectors, this section aims to publish pioneering research and reviews that shed light on AI's contribution to sustainable economic
practices. "Artificial Intelligence for Sustainable Economic Development" invites discussions between AI specialists, economists, environmentalists, and other stakeholders invested in moulding a green economic landscape.
We believe in documenting the synergy between AI and sustainable economics. We encourage groundbreaking research articles and reviews that will act as a beacon in this emergent field. In this context, we propose, but without any limitation, the following key concepts:
Artificial Intelligence: Central to the topic, it's the technology driving many sustainable solutions.
Circular economy automation: Refers to the automated systems that help reuse and recycle resources, a core tenet of sustainability.
Business Sustainability: Pertains to businesses aiming to have a long-term balance of environmental, societal, and economic demands.
Machine Learning: A subset of AI and a primary tool in developing predictive models for sustainable solutions.
Deep Learning: Advanced subset of Machine Learning; useful for intricate patterns and predictions.
Industry 4.0: Refers to the current automation and data exchange trend in manufacturing technologies.
Industry 5.0: Future phase focusing on the collaboration between humans and machines.
Smart resource management: Using AI to manage and allocate resources efficiently to minimize waste.
AI-driven sustainable growth: Growth strategies powered by AI aiming at sustainability.
Green tech innovation: Technological innovations that prioritize environmental sustainability.
Your insights and contributions will be pivotal in steering our economic trajectory towards a more sustainable horizon.
We eagerly await your esteemed submissions.
Professor PhD Alexandru TUGUI
Section Editor
