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    Artificial Intelligence (AI) in Renewable Energy Systems: A Brief Overview for Conserving and Efficiently Utilizing Renewable Resources
    (Taylor & Francis CRC Press, 2026) Nupur Mittal, ImranUllah Khan, Zohaib Hasan Khan, Farooq Ahmad, Mohd Amir Ansari
    The global energy demand is anticipated to grow at an average annual rate of 8% from 2000 to 2030. Fossil fuels currently supply a significant portion of this energy, having profound impacts. Renewable energy (RE) sources are gaining popularity as alternatives to fossil fuels for various reasons. However, the transition to RE sources is critical for addressing climate change and reducing dependence on fossil fuels. However, the variability and intermittency of RE present significant challenges for efficient utilization and integration into power grids. Artificial intelligence (AI) and machine learning (ML) are relatively new concepts in the energy sector. The proposed work highlights how AI can optimize the generation and distribution of RE through predictive analytics and ML models. This chapter explores the role of AI in enhancing the efficiency and reliability of RE systems (RES), including solar, wind, hydro, and bioenergy. The work explores the contribution of AI to improving energy storage. The proposed work emphasizes the role of AI in improving energy efficiency and conservation. The synergy between AI and RES offers innovative pathways to conserve resources and promote sustainable energy practices.
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    Challengess and Barriers to Access the Benefits of AI by Marginalized Sections of the Society: Exacerbation of Existing Societal Inequalitites in the Society
    (The Lawgical Junction and MJS Publishing House, 2024) Nidhi Singh Arora
    Artificial intelligence (AI) has emerged as a transformative force shaping various aspects of society, from healthcare and education to transportation and finance. Its potential to optimize processes, enhance decision-making, and create innovative solutions has garnered significant attention and investment worldwide. However, amidst the enthusiasm surrounding Al's promises, it is crucial to critically examine its impact on marginalized communities. Marginalized communities encompass individuals who face systemic barriers and discrimination based on factors such as race, ethnicity, gender, socioeconomic status, disability, and sexual orientation. Historically, these communities have been disproportionately disadvantaged regarding access to resources, opportunities, and power. Al has the potential to either exacerbate existing inequalities or serve as a tool for empowerment and liberation, depending on how it is developed, deployed, and regulated. This paper explores the challenges and barriers faced by marginalized communities in accessing the benefits of Al, and how these issues exacerbate existing societal inequalities. Drawing from existing literature, this paper identifies key factors contributing to disparities in Al access and proposes strategies to mitigate these challenges. By addressing these barriers, policymakers, technologists, and advocates can work towards a more inclusive and equitable Al.
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    Biology as an Interdisciplinary Subject: Bridging Disciplines for a Deeper Understanding of Life
    (Bentham Science, 2026) Shifa Suhail, Kashifa Khatoon, Arpita Tripathi, Pallavi Awasthi, Reena Vishvakarma, Swati Sharma
    Biological science has always been portrayed as an interdisciplinary subject. Essentially, botany, zoology, and microbiology deal with all the life forms, while biochemistry relates to all the chemical reactions in living beings. Biophysics and biostatistics have always been a part of biological assays and investigations. From school education to higher studies, currently, biology is a part of the STEM (Science, technology, engineering, and mathematics) education system and curriculum. Although they are distinct, these are related technical disciplines. The term is typically used in the context of education policy or curriculum choices in schools and colleges. The STEM curriculum with experiential learning and appropriate content surely increases students' competency levels. Nowadays, the relation of biological sciences with social, behavioural or neurosciences has also been well established and studied. With the advent of technology, biology was redefined, and new areas of computational biology emerged. Moreover, AI has further elevated the levels and created a lot more sub- branches. Though all these areas of interdisciplinary research were growing in specific research fields, the interdisciplinary nature of the subject is yet to be established in the education system. With the advent of new educational policies such as NEP 2020 in India, these gaps might be filled, and this can lead to a change in students’ overall learning and research experience for lifelong learning.
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    Smart System: Wireless Communication Using AI and IoT in 5G and 6G
    (Technical Press, 2026) Meena Chavan, Somdotta Roy Choudhury, Imran Ullah Khan, Jigarkumar Dineshbhai Patel, Arjuna Muduli
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    An Exploration of AI, Ethics, and Problem of Consciousness
    (Book Rivers, 2025) Namira Siddiqui, Fatima Sahrish
    This chapter aims to explore the intricate relationship between consciousness and artificial intelligence (AI), encouraging critical thinking about the future of Al and the nature of human experience. It explores what consciousness means focusing on awareness, emotions, thoughts, and self-reflection and contrasts this with the capabilities of modern Al systems. It presents both optimistic and skeptical views about whether machines can ever be conscious, highlighting theories such as Global Workspace Theory, Integrated Information Theory, and Higher-Order Thought Theory. It also discusses the ethical, social, and philosophical implications of creating conscious machines, including issues of rights, responsibility, and human identity. While current Al lacks true consciousness, the chapter highlights the growing importance of this discussion as technology continues to advance rapidly.
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    Can AI and IOT Rescue India from its Own E Waste Crisis or Will We Just Have Smarter Trash?
    (MJS PUBLISHING HOUSE, 2025) Tulika Singh
    India s e-waste crisis is escalating at an alarning rate, with the country generating approximately 1.75 million metric tonnes ofe-waste in 2023 24, marking a 73% increase over the past five years. As digital consumption surges, Artificial Intelligence (Al) and the Internet of Things (loT) are being explored as potential solutions to tackle this mounting challenge. Alpowered waste sorting and deep-learning-based recognition systems promise higher efficiency in segregating electronic waste, while loT-enabled smart bins and tracking systems facilitate real time monitoring of disposal patterns. However, despite these technological advancements, the integration of AI and loT remains limited due to high costs, lack of infrastructure, and the dominance of the informal sector, which processes over 95% of India 's e-waste manually. Additionally, Extended Producer Responsibility (EPR) policies, which legally bind manufacturers to manage post-consumer electronic waste, are ofien poorly enforced, leading to greemwashing practices where companies overstate their recycling eforts without meaningful action. Blockchain technology is being explored to enhance transparency ine waste disposal by creating tamper-proof records of recycling processes, but its adoption remains in its infancy. Meanwhile, modular and self repairing electronic devices are emerging as a long-term solution to reduce e-waste generation, but the widespread adoption of such technology is hindered by corporate reluctance and consumer habits. While Al and loT present promising interventions, the reality remains that without regulatory reinforcement, economic incentives, and socio technological integration, India risks merely creating 'smarter trash rather than resolving the core issue. Addressing this crisis requires a multi-faceted approach, balancing innovation with policy reforms and
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    AI for Public Good: Managing Health Risks and Opportunities
    (Nitya Publications, 2025) Tulika Singh
    Artificial Intelligence (AI) is reshaping public health paradigms, offering transformative benefits while posing novel legal and ethical challenges. This chapter explores AI’s role in advancing health as a global public good, emphasizing the need for a rights based, equity oriented governance framework. It redefines the concept of "public good" in the digital health era, analyzing how AI technologies intersect with the right to health and ethical imperatives outlined by WHO, UNESCO, and UNHRC. The chapter examines AI applications in disease surveillance, diagnostics, telemedicine, and precision medicine, highlighting both their promise and the risks of algorithmic bias, data inequities, and cybersecurity threats. It scrutinizes the Indian legal ecosystem including the IT Act 2000 and the Digital Personal Data Protection Act 2023 alongside global regulatory frameworks such as the EU Artificial Intelligence Act 2024, US FDA guidelines, and WHO's governance principles for health AI. Through a comparative legal lens, the chapter advocates for ethical AI deployment via transparency, explainability, and institutional capacity building. It proposes policy innovations like ethics by design, regulatory sandboxes, and public private collaboration to align AI with public health values. The chapter offers a roadmap for inclusive, accountable, and resilient AI governance that upholds human dignity in global health systems.
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    Artificial Intelligence Assisted Teaching and Learning and Research of Environmental Sciences
    (Bentham Science, 2024) Tameena Khan, Manisha Singh,Saman Raza, Kulsum Hasmi, Seema Joshi, Priya Mishra, Abdul Rahman Khan
    Artificial intelligence (AI) has become the latest tool in facilitating the computer-assisted teaching-learning process. The Al-based teaching system is viewed as a personalized one-on-one student-teacher interaction. Al in education is becoming more common and has received a lot of attention recently. This growing interest is likely to have a big impact on higher education. Many educators and educational authorities are considering integrating Al topics into K-12 curricula, to provide school students with insights into these evolving technologies. Recent studies on Al curricula have mostly concentrated on identifying which Al tools are better for student learning and what subject matter knowledge and abilities need to be taught. Since the goal of these studies was to promote information, they designed their curriculum with appropriate content, effective delivery methods, and strategies to increase students competency levels. Environmental education seeks to explore natural processes and foster the development of skills and attitudes geared towards sustainability and the protection of the environment. Recently, Al has been widely used in geological, environmental, and related research. It can also assist in the exploration of energy resources and minerals. The use of Al in education teaching-learning and academic achievement has been elucidated in this chapter. This chapter also aims to explore the role of Al-assisted teaching of environmental sciences and how it impacts the overall learning experience. Understanding the role of Al in environmental sciences is very important as it can address crucial problems like climate change, early prediction of natural disasters, and many others. Currently, there is a need to develop accurate models at an affordable time and cost. Other than research, the implementation of Al in environmental education can lead to a change in students' aptitude and interest and can help in the development of sensitivity towards environmental protection.
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    Machine Learning: navigating promises and pitfalls of AI
    (Shipra Publication New Delhi, 2025) Dhriti Tiwari, Sangeeta Suman