Books/Book Chapters/Edited Books

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Start date: 2023Subject: search.filters.subject.Artificial Intelligence

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    Research Ethics in the Digital Age: Foundations and Emerging Dilemmas
    (Book RiversPublication Lucknow, 2026) Dhriti Tiwari
    Research ethics serves as the normative basis for academic inquiry, directing responsible knowledge creation and safeguarding human dignity, especially in the social sciences where research often engages human participants and delicate societal circumstances. Ethical standards, including respect for individuals, beneficence, fairness, and integrity, are vital for sustaining public confidence and academic reputation. Notwithstanding the presence of established ethical norms and regulatory frameworks, researchers consistently encounter enduring ethical challenges, including informed permission, voluntary involvement, secrecy, fraud, plagiarism, and conflicts of interest. The persistent obstacles have been exacerbated by the swift digitalization of research methodologies and the growing implementation of artificial intelligence, which have raised new issues about authorship, originality, transparency, and academic integrity. This chapter examines the meaning, historical progression, theoretical underpinnings, and evolution of research ethics, subsequently addressing both classic and modern ethical dilemmas. The discourse emphasizes the necessity for continual ethical reflexivity to tackle developing issues in a progressively digital research landscape.
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    DIGITAL TRANSFORMATION AND SUSTAINABLE GROWTH: A MARKETING 5.0 PERSPECTIVE IN EMERGING ECONOMIES
    (Empyreal Publishing House, 2026) Pratima Shukla, Zia Afroz, Athar Khak
    Significant changes have been observed in consumer behavior and business practice due to the rapid development of digital technology, especially in the context of emerging markets. This research paper attempts to understand the implications of Marketing 5.0 on the process of digital transformation and sustainable development, with a special emphasis on the case of India. Marketing 5.0 combines the application of advanced technology like artificial intelligence, big data, and automation with a humanistic approach to improve customer engagement and decision-making processes. The major factors influencing the process of digital transformation have been identified as internet connectivity, the adoption of smartphones, the growth of electronic commerce, and government initiatives. The research has also explored the implications of the process of digital transformation on consumer behavior and business practices. The major challenges to the process of digital transformation include the digital divide, skill gaps, and data privacy issues. The research has found that Marketing 5.0 can act as a strategic tool to achieve sustainable and inclusive growth in the context of emerging markets.
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    AI-Based Forecasting and Decision Support System for Plantation Crops
    (Rubicon Publications, London, UK, 2025) Nitish Kumar, Sanket Kumar
    This chapter discusses the application of Artificial Intelligence (AI) and decision support systems in plantation crop management. It highlights the integration of machine learning models, predictive analytics, climate data analysis, and digital advisory tools to enhance forecasting accuracy, improve crop productivity, optimize resource use, and support climate-resilient plantation systems. The chapter emphasizes smart agriculture approaches for sustainable plantation crop development.
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    Digitalization and School Education: Transforming Learning in the 21st Century
    (CIRS PUBLICATION, 2025) Priyanshi Gupta
    Digitalization has rapidly transformed every aspect of human life, from how we communicate to how we work, shop, and learn. In the education sector, digitalization has revolutionized traditional teaching and learning practices, offering unprecedented opportunities for engagement, accessibility, and personalization. The 21st century has ushered in an era of rapid change, driven by technological advancements and evolving societal needs. Education, as a cornerstone of human development, has undergone significant transformations to meet the demands of this dynamic era. Education in the 21st century has undergone significant transformation, driven by rapid advancements in technology, societal shifts, and the demand for new skills. Traditional teaching methods are being reimagined to meet the needs of a dynamic, interconnected world. This transformation emphasizes innovation, equity, and adaptability in education systems globally.
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    Building Innovation Ecosystems: The Role of Universities in Integrating AI and Technology in Higher Education
    (Indowise International Publisher, 2025) Asma Farooque, Habib Uddin, Syed Afzal Ahmad
    In the rapidly evolving digital era, higher education institutions are at the forefront of fostering innovation and preparing students for a technology-driven world. Central to this transformation is the development of robust innovation ecosystems, where universities play a pivotal role in integrating advanced technologies like Artificial Intelligence (AI) and digital tools into their academic and operational frameworks. This abstract explores the dynamic interplay between universities and emerging technologies, emphasizing their collective role in shaping the future of higher education. The shift towards smart, technology-enabled learning environments has redefined traditional pedagogies, encouraging a move from rote learning to experiential, project-based, and adaptive learning models. Universities are increasingly adopting Al-powered solutions such as intelligent tutoring systems, automated grading, personalized learning pathways, and data-driven decision-making to enhance teaching quality, administrative efficiency, and student engagement. These technological interventions support personalized education experiences, catering to diverse learner needs, and fostering a culture of continuous innovation. This chapter highlights successful case studies of universities that have effectively integrated Al and advanced technologies, resulting in innovative research outputs, industry collaborations, and entrepreneurial ventures. It also discusses future trends such as the rise of EdTech, virtual labs, intelligent content delivery and lifelong learning platforms that can further enhance the ecosystem.
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    AI for Lifelong Learning: Enhancing Skills Development in a Changing Workforce
    (The Hill Publication, 2025) Mohd Ariz Siddiqui
    Amidst unprecedented technological progress and dynamic workforce transformations, Artificial Intelligence (AI) has become a catalyst in redefining education and skill enhancement. This chapter examines how AI-driven approaches are being integrated into lifelong learning frameworks to support skill acquisition and continuous education. It highlights the transformative role of AI technologies, such as adaptive learning systems, predictive analytics, and virtual simulation tools, in addressing the challenges of a rapidly evolving job market. Emphasis is placed on how AI fosters critical competencies, such as digital literacy, creativity, and analytical problem-solving, which are vital for navigating the future of work. Drawing insights from recent studies, the chapter underscores AI's potential to narrow the global skills gap while proposing strategies to overcome implementation barriers in diverse educational and workplace settings.
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    The Future of Farming: How AI Enhances Crop Yield and Sustainability
    (Agri Magazine (Online International E-Magazine), 2025) Muchapothula Shiva Prasad, Mamta J. Patange, Dr. Shubhangi J. Dhage, Shabbeer Ahmad, Aman Kumar
    This article explores how Artificial Intelligence (AI) is transforming agriculture by improving crop yields, optimizing resource use, and enhancing sustainability. It highlights AI applications such as robotic automation, drones, machine learning, precision farming, predictive analytics, and genetic innovations. The article further discusses real-world success stories in AI adoption, identifies major challenges including technological gaps, social barriers, high costs, and data privacy concerns, and proposes solutions through policy reforms, training, and infrastructure development. The future of AI-powered farming includes smart seeds, advanced robots, blockchain-based supply chains, and climate-resilient decision systems.
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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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    Safeguarding Health Data: Navigating Legal Complexities in the Digital Age
    (Nitya Publications, Bhopal MP India, 2025) Wasim Ahmad, Mohd. Tahir Husain
    In today’s rapidly evolving digital landscape, healthcare data emerges as both a catalyst for medical innovation and a source of significant privacy concerns. This chapter provides an in-depth legal examination of healthcare data protection, tracing the transition from conventional health records to intricate digital networks. As health data is inherently sensitive, the chapter scrutinizes international legal frameworks, including the EU’s GDPR, the US’s HIPAA, and India’s Digital Personal Data Protection Act, 2023, identifying both their robust features and existing gaps. Key legal concepts, such as informed consent, data ownership, confidentiality, and cross-border data transfers, are analyzed to understand their real-world implications. Moving beyond theoretical discussions, the chapter addresses practical risks—from cyberattacks to telemedicine vulnerabilities, and evaluates innovative technological defenses, including AI and blockchain. Furthermore, it considers regulatory practices, the involvement of data protection authorities, and enforcement tactics, ultimately reflecting on the challenging interplay between healthcare innovation and data privacy.
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    Artificial Intelligence: A Socio Legal Paradigm
    (The Lawgical Junction and MJS Publishing House, 2024) Seema Siddiqui, S. Fatima Zahara Jafri, Sadaf Khan