AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change

Abstract

Climate change is one of the most pressing global challenges we face today. The impacts of rising temperatures, sea levels, and extreme weather events are already being felt around the world and are only expected to worsen in the coming years. To mitigate and adapt to these impacts, we need innovative, data-driven solutions. Artificial intelligence (AI) has emerged as a promising tool for climate change adaptation, offering a range of capabilities that can help identify vulnerable areas, simulate future climate scenarios, and assess risks and opportunities for businesses and infrastructure. With the ability to analyze large volumes of data from climate models, satellite imagery, and other sources, AI can provide valuable insights that can inform decision-making and help us prepare for the impacts of climate change. However, the use of AI in climate change adaptation also raises important ethical considerations and potential biases that must be addressed. As we continue to develop and deploy these solutions, it is crucial to ensure that they are transparent, fair, and equitable. In this context, this article explores the latest innovations and future directions in AI-enabled climate change adaptation strategies, highlighting both the potential benefits and the ethical considerations that must be considered. By harnessing the power of AI for climate change adaptation, we can work towards a more resilient, sustainable, and equitable future for all.

Integrating Artificial Intelligence for Enhanced Grid Stability and Renewable Energy Management in France

“…The study's conclusions align with previous research, highlighting AI's transformative potential in energy management, while acknowledging challenges such as data quality, infrastructure, and security. Earlier studies have stressed the importance of a balanced approach that combines AI with traditional methods, while also addressing ethical and regulatory issues [27]. This study builds upon those insights by proposing a comprehensive framework that integrates AI, edge computing, blockchain, and interpretable AI systems effectively.…”

“…Artificial intelligence (AI) can significantly benefit the energy sector, particularly in energy distribution optimization, predictive maintenance, and demand response management [9]. AI is crucial for addressing energy management difficulties because it provides the analytical capabilities and real-time processing required for smart grid operations [27]. AI has proven extremely useful in addressing complicated energy issues such as incorporating renewable energy sources into the grid, projecting energy demand and production trends, and predicting probable system faults [16].…”

“…The present literature emphasizes the necessity of applying AI technology to renewable energy management, providing a game-changing approach that blends data-driven insights with powerful computational skills to optimize energy systems [29]. AI's ability to analyze massive volumes of data from various sources, such as weather forecasts, historical energy production data, and real-time grid conditions, enables more accurate predictions and efficient management of energy flows [27].…”

“…These technologies enable real-time monitoring and adjustments, resulting in more efficient energy distribution and reduced waste. Furthermore, AI enhances the resilience of energy infrastructure by predicting and responding to potential disruptions caused by climate-induced extreme weather events [27]. By providing advanced warnings and enabling proactive measures, AI contributes to grid stability and supply continuity, thus promoting operational efficiency and long-term sustainability in the energy sector [28].…”

The Role of Artificial Intelligence in Shaping the Future of Education: Opportunities and Challenges

“…AI opens up for new opportunities such as improvement of logistics and public transport (Jevinger et al, 2023). Other AI applications involve natural disaster prediction or response (Jain et al, 2023), precision agriculture (Gardezi et al, 2023). Kaur et al (2023) admit that AI-based tools influence cybersecurity since they help detect cyber threats, indicate deviations and malicious activity, or improve user's authentication.…”