The book explores the use of Artificial Intelligence in sustainable development and environmental resilience. It addresses climate change, resource depletion, and degradation, highlighting the need for innovative solutions. The chapter discusses AI applications in climate modelling, energy optimization, waste management, biodiversity conservation, and disaster response, emphasizing ethical considerations, transparency, and inclusivity.
– Anjali Yadav, VIT AP UNIVERSITY
The intersection of environmental sustainability and the use of artificial intelligence (AI) raises several ethical considerations. As AI technologies continue to advance and play a significant role in various industries, it becomes crucial to assess their impact on the environment and address potential ethical concerns. Especially in the hospitality industry has increasingly embraced AI and machine learning to enhance various aspects of operations, customer service, and overall efficiency, where AI and machine learning are making an impact in the hospitality sector. Machine learning algorithms analyze customer preferences and behavior to provide personalized recommendations for services, room preferences, and amenities. AI-driven facial recognition technology streamlines the check-in process and provides secure access control to restricted areas within a hotel. Machine learning algorithms analyze customer preferences and behaviors to recommend personalized dining options, activities, and entertainment. Voice-activated assistants in hotel rooms enable guests to control lighting, temperature, and other amenities through voice commands, enhancing the overall guest experience. Striving for fairness and transparency in AI algorithms, addressing bias in training data, and continually monitoring. AI can be utilized for environmental monitoring and conservation efforts, raising questions about surveillance and potential misuse.
– Sanjeev Kumar, Lovely Professional University
Chapter 15 discusses the intersection of AI and sustainable agriculture, highlighting their potential to transform food production and address environmental challenges. AI technologies are integrated into agriculture to boost efficiency and productivity, but ethical concerns must be considered. Benefits of AI in sustainable agriculture include improved crop yield, resource optimization, and pest management through data analysis. Robotic farming and precision agriculture improve operational efficiency. However, issues like data ownership, privacy, and equitable access to AI arise. Automation may impact rural economies and employment. Policies and skill development are needed to support affected communities. Transparency and fairness in AI decision-making are crucial to avoid bias and injustice. Finally, AI can enhance agricultural sustainability, but ethical concerns must be addressed to create an equitable and environmentally responsible future.
– Peace Falola, Precious Cornerstone University, Ibadan