Faculty Publications
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Scholarly Publications by Integral Academia
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Item 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 SharmaBiological 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.Item AI Technology and Ethical Dilemmas(Shanlax Publications, 2025) Intezar Mahdi, Nazish SiddiquiAs Artificial Intelligence (AI) continues to reshape industries and societies worldwide, it simultaneously raises pressing ethical concerns that demand critical examination. This paper investigates key ethical dilemmas emerging from the deployment of AI technologies, drawing on recent research, global reports, and real-world case studies. It begins by framing the foundational principles of AI ethics, then explores concerns around privacy erosion and mass surveillance enabled by AI systems. The study examines the societal risks posed by deepfakes, digital manipulation, and the spread of misinformation, alongside unresolved challenges in intellectual property rights in the context of AI-generated content. The implications of AI for employment—particularly job displacement and algorithmic hiring practices—are analyzed through the lens of fairness and accountability. Environmental sustainability is also considered, with data highlighting the substantial resource and energy demands of AI infrastructure. Further, the paper addresses how reliance on AI may suppress creative human thinking and how machine learning models can perpetuate and amplify existing social biases. The analysis underscores the urgent need for globally coherent regulatory frameworks and ethical guidelines to ensure that AI development aligns with human values, equity, and ecological responsibility. This work contributes to the growing discourse on responsible AI by offering interdisciplinary insights and policy-oriented recommendations for more ethical and sustainable AI integration.Item Technology, Ethics, and Sustainability: Aligning AI Innovations with the SDGs(SFE Explore, 2025) Intezar Mahdi, Nazish SiddiquiThe rapid advancement of artificial intelligence (herein after used as AI) presents unknown opportunities to address global challenges outlined in the United Nations Sustainable Development Goals (herein after used as SDGs). still, the integration of AI inventions with sustainability objects raises critical ethical and governance issues. This research explores the crossroad of technology, ethics, and sustainability, examining how AI can be aligned with the SDGs while mollifying pitfalls such as bias, inequity, and environmental detriment. The study outlines key tactics for promoting responsible AI development, such as ethical design principles, stakeholder participation, and nonsupervisory oversight, through a routine assessment of case studies and policy fabrics. The results show how AI may both support and undermine sustainable development, highlighting the necessity of interdisciplinary cooperation to guarantee that technical advancements are in line with social, economic, and environmental goals. In order to leverage AI's potential while maintaining ethical standards and sustainability pledges, the report ends with recommendations for policymakers, technologists, and civil society.Item 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 MuduliItem An Exploration of AI, Ethics, and Problem of Consciousness(Book Rivers, 2025) Namira Siddiqui, Fatima SahrishThis 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.Item Can AI and IOT Rescue India from its Own E Waste Crisis or Will We Just Have Smarter Trash?(MJS PUBLISHING HOUSE, 2025) Tulika SinghIndia 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 andItem AI for Public Good: Managing Health Risks and Opportunities(Nitya Publications, 2025) Tulika SinghArtificial 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.Item 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 KhanArtificial 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.Item Machine Learning: navigating promises and pitfalls of AI(Shipra Publication New Delhi, 2025) Dhriti Tiwari, Sangeeta Suman