This chapter examines artificial intelligence's (AI) transformative impact on adaptive education for students with disabilities. This chapter explores how AI-driven technologies, including intelligent tutoring systems, speech recognition tools, and personalized learning algorithms, are reshaping educational experiences to be more inclusive and effective. By leveraging these innovations, educators can tailor content and support to meet individual learning needs, enhance accessibility, and overcome barriers to education. Drawing on case studies and practical examples, the chapter highlights the ability of AI to revolutionize traditional educational models by delivering customized, responsive support for diverse disabilities. Emphasizing the potential of AI to foster equity and inclusion, the chapter underscores its role in advancing opportunities for all learners and creating a more accessible educational landscape.

The proliferation of e-commerce platforms has provided customers with a level of convenience never seen before, but it also raises serious questions about how sensitive consumer data is protected. This chapter explores the complex interplay between two emerging technologies, AI and blockchain, with the goal of strengthening consumer data protection on e-commerce platforms. It examines innovative and forward-thinking solutions that handle the complexities of data governance as well as the changing legal aspects of the e-commerce industry by exposing the numerous difficulties and challenges that occur in this confluence. The protection of consumer data is one of the biggest issues facing e-commerce. The combination of blockchain technology and artificial intelligence (AI) acts as a lighthouse, pointing the way for the e-commerce sector toward a more transparent, safe, and morally upright future.

This paper sets itself in a context of examining how IoT technology is disrupting and revolutionizing the monitoring and control of relative humidity in different spheres of smart cities with special reference to the enhancement of well-being in the information society. The authors discuss the current emergent research topics in IoT-based humidity sensors, wireless communication systems, and big data analytics for monitoring and controlling the humidity in real time. The paper also presents an outlook into various fields such as agriculture, healthcare, intelligent houses, industries, as well as the environment, and presents an indication of how managing humidity accurately enhances crop productivity, disease prevention, internal air quality, and the general wellbeing of the public. This also covers on the use of artificial intelligence and machine learning for IoT on analysis in terms of prediction and control. Admittedly, there are limitations associated with IoT including data security, compatibility, and power supply issues of the devices, etc. The future development of IoT as described in the paper includes improved sensors, edge computing, and the use of block-chain technology. Therefore, the authors find that IoT techniques for humidity measurement and management are effectively used in the development of healthier, comfortable, and sustainable environments in smart cities to enhance the quality of life.

The whole world is struggling with the multifaceted challenges of climate change, environmental degradation, and for the search of sustainable development, the United Nations Sustainable Development Goals (SDGs) have emerged as a guiding beacon. Among these, SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action) hold particular significance, encapsulating critical facets of humanity's collective pursuit of a more sustainable future. Nation states as signatories to an array of international treaties and agreements have committed to a comprehensive set of responsibilities aimed at advancing the goals of SDG 7 and SDG 13. The international legal landscape also champions cooperation as a fundamental tenet. This chapter introduces a comprehensive legal-financial advisory framework to address the evolving landscape of AI-driven renewable energy projects.