Green technologies have emerged as a key solution in this endeavour. This study explores the concept of sustainable intelligence (SI) and its significance in integrating innovative green technologies with intelligent systems to promote sustainability and environmental consciousness. Through an extensive literature review, this study presents the potential of green technologies, examines challenges and barriers, and outlines the significance of sustainable intelligence in achieving a greener and more sustainable environment. With a focus on intelligent IT applications such as artificial intelligence, the internet of things, and machine learning, the chapter examines their potential to address environmental sustainability challenges. The rising adoption of green technologies, such as renewable energy systems, smart grids, and eco-friendly transportation, holds promise for reducing carbon footprints and mitigating climate change. Intelligent IT applications in these domains enable real-time data analysis, predictive modelling, and optimization.
Top2. Background
The impact of human activities on the environment has reached unprecedented levels, resulting in rising temperatures, extreme weather events, loss of biodiversity, and resource depletion. These consequences necessitate immediate and comprehensive efforts to shift towards sustainable practices. Green technologies encompass a wide range of innovations, including renewable energy sources, energy-efficient systems, sustainable transportation, and eco-friendly materials. Their adoption can lead to significant reductions in greenhouse gas emissions, resource conservation, and ecosystem preservation. In parallel, advancements in artificial intelligence, data analytics, and IoT have enabled intelligent systems to optimize various processes and enhance decision-making across industries. The convergence of green technologies with intelligent systems creates a unique opportunity to maximize the potential of sustainable solutions, revolutionizing the way we address environmental challenges.
Green technologies play a crucial role in addressing the pressing environmental challenges and achieving sustainability goals. It explores the wide array of green technologies, including renewable energy sources (e.g., solar, wind, hydro, geothermal), energy-efficient systems, green building materials, waste management solutions, and sustainable transportation options. Bilal et al (2021) deep dive into the interconnection between technological advancement, globalization, and CO2 emissions within a panel of One Belt One Road (OBOR) countries spanning from 1991 to 2019 to demonstrate that in the sample, East Asia, South-east Asia, and Central Asia, the combined effects of technical innovation and globalization are linked to a reduction in CO2 emissions. Conversely, in the Europe regions, the interaction effect exhibits a notable positive association with emissions of carbon dioxide. Additionally, the coefficient of ICT for OBOR, Europe, and Central Asia is positively and statistically significant, indicating a significant influence on Carbon dioxide emissions. However, for East Asia, Southeast Asia, and MENA regions, these results demonstrate a statistically negative impact of ICT on CO2 emissions.
Shan et al (2021) reveal long-term association among population, per capita income, green technology innovation, renewable energy, consumption of energy and carbon dioxide emissions. Specifically, the utilization of renewable energy and green technology innovation are linked to a decrease in carbon dioxide emissions. Conversely, increase in carbon emissions is directly proportional to higher levels of population, per capita income and energy consumption. These empirical findings offer valuable insights for policymakers in Turkey, aiding them in crafting a comprehensive strategy to bolster environmental sustainability with the help of green technology innovation and the adoption of renewable energy practices. Yigitcanlar et al (2021) analysed centres on the notion of “green AI” and its role as a driving force behind the transformation of smart cities. The central argument posits that embracing green AI can lead to a shift away from purely techno centric and efficient solutions, in favour of more impactful, sustainable, and equitable approaches. By doing so, it becomes possible to realize the envisioned urban futures effectively. The concept of Sustainable Intelligence represents the integration of intelligent systems with green technologies to foster sustainability and environmental consciousness.