Artificial Intelligence In Daily Life: An Analysis
Authors: Dr Arunakumar P
Abstract: Artificial Intelligence (AI) has woven itself into the fabric of everyday existence, transforming tasks into seamless experiences. From voice assistants like Alexa waking us with personalized news briefs to recommendation algorithms curating our Netflix queues, AI shapes our routines in profound ways. In India, where over 800 million internet users navigate bustling urban lives and rural digital divides, AI powers UPI payments, crop yield predictions for farmers, and traffic management in cities like Bengaluru. Yet, this integration raises critical questions: Does AI enhance human potential or erode autonomy? This article dissects AI's role in daily life, spotlighting opportunities for efficiency and innovation alongside pressing issues like privacy erosion and bias amplification. By examining real-world applications, ethical dilemmas, and policy pathways-especially in diverse contexts like Karnataka's tech ecosystem-we uncover a roadmap for harnessing AI responsibly.
DOI: https://doi.org/10.5281/zenodo.20111962
Impact Of Dominant Caste Narratives On The Authenticity Of Social Science AI Data
Authors: Anshu Kumar
Abstract: This paper examines the inherent bias that exists in Large Language Models (LLMs), because they are designed using digital data, which is created primarily by dominant social classes. The paper contends that AI technology allows the occurrence of ‘Algorithmic Marginalization’, which occurs when the preference for standardized linguistic forms, including formal English or Sanskritized Hindi or any other regional language effectively excludes the subaltern dialects and oral coding traditions of the marginalized groups. Through misclassification of these non-standardized inputs as ‘low-quality’ or ‘inferior,’ Large Language Models (LLMs) effectively ignores the experiences of a large segment of the Indian population. As a result, social scientists who make use of these AI technologies run the risk of using data sets, which may not be accurate and representative of the diverse segments of the Indian society because Indian historians and researchers mostly belonged to upper dominant castes and wrote in a manner that portrayed the superiority of the Indian society over western societies.
DOI: https://doi.org/10.5281/zenodo.20111985
Artificial Intelligence In Higher Education-Advantages And Challenges
Authors: S.Swetha.
Abstract: Artificial Intelligence plays a significant role in higher education and it has become a valuable tool both for students and professors..This paper enables us to understand how from past few years Artificial Intelligence in higher education has led to tremendous transformation in education sector and how Artificial Intelligence has been applied in teaching and learning in higher education and importance of using AI in higher education. AI powered educational platforms offer immersive and interactive learning environments that engage students and foster a deeper understanding of complex subjects..This paper also addresses the challenges associated with AI in education .There are also concerns regarding over reliance on AI which may impact critical thinking and human interaction in the learning process. Policy makers, educators and institutions must collaborate to develop inclusive frameworks, ensure transparency and promote responsible use of AI technologies.
DOI: https://doi.org/10.5281/zenodo.20112012
Impact Of Artificial Intelligence On The Student–Teacher Relationship
Authors: Shilpashree MR
Abstract: The integration of Artificial Intelligence (AI) in education has significantly transformed teaching and learning processes. This research paper examines the impact of AI on the student–teacher relationship, focusing on changes in roles, communication, trust, and emotional interaction. While AI technologies such as adaptive learning systems and chatbots enhance personalized learning and reduce teacher workload, they also pose challenges related to academic integrity, reduced human interaction, and dependency on technology. This paper adopts a qualitative analytical approach based on existing literature to explore both the opportunities and risks associated with AI in education. The findings suggest that although AI can support and enrich the learning experience, it cannot replace the emotional and social dimensions of teaching. A balanced integration of AI is necessary to preserve meaningful student–teacher relationships while leveraging technological advancements for improved educational outcomes.
DOI: https://doi.org/10.5281/zenodo.20112025
AI-Driven Personalization In Indian Higher Education: Bridging The Urban-Rural Divide Amid Policy Gaps (2025–2026)
Authors: Dr. Santhoshi S, Author:Dr. Sarojamma
Abstract: Personalized learning through AI within India’s higher education sector presents immense transformative possibilities under NEP 2020 with potential for customization, prediction, and improved performance. However, deep-seated disparities between urban and rural areas, compounded by infrastructural deficiencies, teacher shortages, and poor policy integration, may hinder equitable implementation. This empirical research examines AI-enabled personalization in India’s 1,200+ higher education institutions (HEIs) during 2025–2026 based on findings from FICCI-EY and AISHE studies revealing a 57% urban and 22% rural adoption rate. Utilizing quantitative trend analysis and qualitative thematic review approaches, it examines challenges such as rural internet infrastructure (35% penetration), AI proficiency (40% skilled staff), and ethical concerns like bias in testing. The project’s aims include assessing adoption rates, NEP alignment, and strategic planning. Results recommend staged actions, such as infrastructure trials, compulsory teacher training, and expansion of the National AI Mission through PPP initiatives. Effective governance, particularly concerning data privacy and federal coordination comparable to GST mechanisms, is critical. Addressing these issues can unlock opportunities for 10 million rural students by 2030, aligning with Viksit Bharat.
DOI: https://doi.org/10.5281/zenodo.20112063
Artificial Intelligence In Electoral Behavior Studies: A Study
Authors: Sangeeta Chandrasha Dandoti
Abstract: Artificial intelligence has advanced a lot in the 21st century, making its mark in every field, taking technology to a higher level. This artificial intelligence is also playing a major role in the field of politics. Artificial Intelligence has brought new techniques to the field of Political Science, especially in ‘Electoral Behavior Studies’, to evaluate, predict and influence voter behavior. The term ‘Electoral Behavior’ describes how people and groups participate in elections, including their voting decisions, political leanings and levels of participation. In the past, surveys, interviews and statistical tools were widely used in this field. However, researchers and political actors now have access to sophisticated tools that enable deep insights into voter psychology and decision-making processes thanks to the development of artificial intelligence. This paper explores the place of artificial intelligence in electoral behavior research, as well as its uses, benefits, pitfalls, ethical dilemmas and potential.
DOI: https://doi.org/10.5281/zenodo.20112069
Women Voter Participation In Karnataka: A Comprehensive Analysis From 2000 To 2024
Authors: Manjula R.
Abstract: This paper examines the evolution of women's participation in the electoral process in Karnataka from 2000 to 2024, focusing on the patterns of electoral participation, demography and other sociopolitical factors affecting women's electoral turnout. This study, which examines Election Commission of India data and recent voter turnout figures, reveals a remarkable shift in women's voter turnout. Karnataka has seen a significant decrease in the gender gap in voting from 9.76 percentage points in 2009 to near parity in 2024. Most significantly, the 2024-2025 electoral roll of Karnataka registers a greater number of women voters than male voters for the first time in the state's history. This paper examines institutional, social and economic factors that have enabled this shift, such as voter mobilisation, female literacy, migration and government policies. The analysis indicates that Karnataka's women's electoral participation is a mirror of national as well as state-specific factors, driven by development indicators and electoral campaigns.
DOI: https://doi.org/10.5281/zenodo.20112088
Local Governments And Sustainable Development Goals (SDGs) In India: A Study Of Decentralized Governance And Grassroots Transformation
Authors: Krishna C.V.
Abstract: Sustainable Development Goals (SDGs) emphasize inclusive, equitable, and environmentally sustainable growth, requiring effective localization for meaningful outcomes. Local governments, particularly in developing countries, play a crucial role in translating global goals into actionable strategies at the grassroots level. In India, Panchayati Raj Institutions (PRIs) and Urban Local Bodies (ULBs), empowered by the 73rd and 74th Constitutional Amendments, serve as key agents in implementing SDGs through decentralized planning, resource allocation, and community participation. This research article examines the role of local governments in achieving SDGs in India, with a special focus on Karnataka. Using a narrative review methodology based on PRISMA-ScR guidelines, the study synthesizes findings from 28 empirical studies, government reports, and policy documents published between 2015 and 2026. Evidence suggests that local governance interventions have improved service delivery outcomes by 30–50 percent in sectors such as water management, sanitation, renewable energy, and rural livelihoods. Initiatives such as Gram Panchayat Development Plans (GPDPs), e-Gram Swaraj, and Finance Commission grants have strengthened participatory planning and accountability. However, challenges such as limited fiscal autonomy, capacity deficits among elected representatives, and coordination gaps persist. The study concludes that strengthening local governance through capacity building, financial empowerment, and technological integration is essential for achieving SDGs. Karnataka’s innovative practices demonstrate the potential of decentralized governance in driving sustainable development.
DOI: https://doi.org/10.5281/zenodo.20112109
AI Governance In Indian Higher Education: A Critical Analysis Of NEP 2020 And Emerging Digital Frameworks
Authors: Dr. Jagadeesh Naduvinamath
Abstract: The swift incorporation of Artificial Intelligence (AI) into Indian higher education has come to define one of the major policy issues in the 21st century. NEP 2020 – hailed by many scholars as a path-breaking reform document – outlines a visionary policy framework that emphasizes technological transformation of the higher education sector. However, the governance architectures required to govern the use of AI from the perspectives of ethics, regulation, and institutional capacity-building are still in their nascent stages. This paper seeks to examine how far NEP 2020, along with the related digital policy frameworks such as NDEAR, SWAYAM, and the National AI Strategy, have succeeded in addressing the key challenges posed by AI in higher education. Based on a discourse analysis of policy documents coupled with a review of relevant literature, this study finds the presence of critical weaknesses in India's AI governance architecture, including the lack of an independent regulatory agency, inadequate emphasis on algorithmic transparency, and insufficient policy measures for equitable AI access among castes, genders, and regions. This paper concludes by emphasizing the need for a democratic, socially just and participatory approach to governance of AI in Indian higher education.
DOI: https://doi.org/10.5281/zenodo.20112159
E-Governance And Artificial Intelligence
Authors: Dr. Manjula Shivabasappa Devasur
Abstract: Artificial Intelligence (AI) and e-governance are among the most important and essential aspects in today’s world of study. E-governance guides government administration through the use of information and communication technology (ICT). Similarly, Artificial Intelligence is a human-created, technology-based system. There is a very close relationship between the two. The implementation of AI can be observed in almost all sectors, including governance. E-governance is technology-based, and the use of AI further strengthens it and enhances efficiency in administration. It also improves accuracy, speed, and effectiveness. AI and e-governance make it easier for citizens to access all government services and information. They encourage public participation and strengthen democracy. They simplify administrative processes and help in the easy implementation of government programs and schemes. They also improve communication, promote equality, and support secure data management. Additionally, they reduce duplication of work, improve administrative systems, and help deliver government services to even the most remote areas. They increase trust between the government and citizens. By making services available online, they enhance transparency and save both time and money by reducing the need for physical documentation. In this digital and computer-driven era, the use of AI has brought significant development to e-governance and is leading administration toward progress. However, it is important that policymakers, officials, and citizens use these technologies wisely to build an effective governance system.
DOI: https://doi.org/10.5281/zenodo.20112171
Use Of Artificial Intelligence In Effective Traffic Rules Management: A Case Study
Authors: Dr.Divya H.L
Abstract: Rapid urbanization and the exponential growth of vehicles have created significant challenges in traffic rule enforcement and management. Traditional traffic management systems often rely on manual monitoring and fixed-time signals, which are inefficient in handling dynamic traffic conditions. Artificial Intelligence (AI) has emerged as a transformative technology that enables real-time monitoring, predictive analysis, and automated enforcement of traffic rules. This research article examines the role of AI in effective traffic rules management through a case study of AI-enabled Intelligent Traffic Management Systems (ITMS). The study highlights the applications of AI such as automated number plate recognition, adaptive traffic signal control, violation detection, and predictive congestion analysis. The findings reveal that AI-based systems significantly reduce traffic violations, improve road safety, and enhance operational efficiency. However, challenges such as high implementation costs, data privacy concerns, and technical limitations remain critical barriers. The study concludes that AI-driven traffic management is an essential component of smart city development and sustainable urban mobility.
DOI: https://doi.org/10.5281/zenodo.20112199
Artificial Intelligence In Public Service Delivery System In Karnataka: An Analysis
Authors: Dr. Dharanesha S T
Abstract: Artificial Intelligence (AI) is revolutionizing public service delivery in Karnataka, transforming governance from reactive to proactive and inclusive models. Karnataka, a frontrunner in India's digital ecosystem, has established the Karnataka AI Cell under the Department of Personnel and Administrative Reforms (DPAR) e-Governance to integrate AI into platforms like Seva Sindhu, automating citizen application classification, grievance prioritization, and workload management. This institutional approach aligns with the national India AI Mission and Viksit Bharat 2047 vision, emphasizing scalable AI for efficiency, transparency, and equity in service provision. Key initiatives include the planned AI Centre of Excellence (AI-CoE) in Bengaluru, focusing on public sector innovation through predictive analytics, decision-support tools, and Gov-Tech startup incubation. AI-driven dashboards offer real-time insights into service performance, enabling demand forecasting, bottleneck detection, and resource optimization across departments. Applications span grievance redressal, welfare targeting, urban traffic management via Bengaluru's Adaptive Traffic Control System, and ethical AI deployment overseen by a Responsible AI Committee chaired by Kris Gopalakrishnan. Despite these advances, challenges persist, data silos hinder integrated environments, ethical risks demand robust oversight, and capacity gaps require training for officials. AI augments human decision-making, ensuring "human-in-the-loop" for high-stakes areas like healthcare and policing, while fostering multilingual accessibility via tools like Bhashini. Early outcomes show reduced turnaround times and anomaly detection, though equitable rural-urban rollout remains critical. This analysis underscores Karnataka's shift to intelligent administration, balancing innovation with governance safeguards to enhance citizen-centric services at population scale. Future success hinges on cross-departmental collaboration, data governance, and inclusive AI policies.
DOI: https://doi.org/10.5281/zenodo.20112213
AI And India’s Neighborhood First Policy: India’s Engagement With Sri Lanka
Authors: Amrutha G D, Dr. Krishnappa G Nimbakkanavar
Abstract: India’s Neighbourhood First Policy has been a cornerstone of its foreign relations since 2014, yet it continues to evolve. The rise of Artificial Intelligence (AI) is reshaping how India approaches this policy, particularly in its engagement with Sri Lanka. This article explores how AI-driven tools—digital trade platforms, surveillance systems, and data-sharing networks—are influencing bilateral relations. It asks whether AI strengthens India’s role as a supportive neighbor or complicates an already delicate partnership. By examining policy shifts, agreements, and practical examples, the paper argues that India must adopt a people-centric digital strategy if AI is to enhance diplomacy rather than undermine trust.
DOI: https://doi.org/10.5281/zenodo.20112251
Digital Governance In India: Assessing The Role Of E-Governance In Enhancing Public Service Delivery
Authors: Dr. Latha C.V., Dr. Nagaraju M S
Abstract: E-governance, defined as the application of Information and Communication Technology (ICT) in governance, has significantly transformed public service delivery in India. With a population exceeding 1.4 billion and diverse administrative challenges, traditional governance systems were often marked by inefficiencies, corruption, and delays. The introduction of large-scale digital initiatives such as Digital India and Unified Mobile Application for New-age Governance (UMANG), along with state-level innovations like e-Seva and Bhoomi, has restructured administrative processes. This research article synthesizes evidence from national programmes and state-level case studies using a narrative review approach guided by PRISMA-ScR methodology. Findings indicate that e-governance initiatives have reduced service delivery time by 40–70 percent, improved citizen satisfaction by approximately 40 percent, and minimized corruption through digital tracking mechanisms and Direct Benefit Transfers (DBT). Financial leakages have been reduced significantly, with savings estimated at ₹2.5 lakh crore during 2021–2025. However, challenges such as digital divide, infrastructural gaps, and low digital literacy continue to hinder universal adoption, particularly in rural areas where nearly 40 percent of regions lack reliable connectivity and about 30 percent of citizens lack digital skills. The study concludes that while e-governance has enhanced efficiency, transparency, and accessibility, targeted policy interventions focusing on infrastructure expansion, digital literacy, and inclusive access are essential for achieving equitable governance outcomes.
DOI: https://doi.org/10.5281/zenodo.20112267
The Role Of Human Rights Norms In Strengthening Democratic Governance
Authors: Dr. Radhakrishna
Abstract: Human rights norms are widely recognized as foundational to democratic governance, yet the mechanisms through which these norms translate into effective institutional performance remain underexplored. This study examines the role of human rights norms in strengthening democratic governance by integrating quantitative and qualitative approaches. A cross-national analysis of 80 democratic countries between 2010 and 2022 demonstrates that higher adherence to civil and political rights is positively associated with improved political accountability, transparency, and citizen participation. Regression models indicate that formal legal protections and enforcement mechanisms significantly enhance governance quality, while case studies reveal that independent judiciaries, active civil society, and robust monitoring structures mediate the translation of normative commitments into tangible outcomes. The findings highlight that the mere existence of human rights norms is insufficient; effective implementation is contingent upon institutional capacity, societal engagement, and supportive political culture. Democracies with strong enforcement and civic oversight outperform low-adherence counterparts in both institutional integrity and civic engagement metrics. The study contributes to political science and human rights scholarship by elucidating the pathways through which normative human rights commitments foster democratic consolidation. Policy implications include strengthening legal frameworks, enhancing institutional enforcement, and promoting civic education to ensure that human rights norms tangibly improve governance outcomes.
DOI: https://doi.org/10.5281/zenodo.20112285
Historical Invention And Artificial Intelligence
Authors: Venkatesh B.G
Abstract: Historical invention and artificial intelligence are closely connected through the long human journey of solving problems, extending memory, and increasing control over the environment. From the earliest stone tools to modern digital systems, inventions have shaped human civilization by transforming how people live, work, communicate, and think. Inventions such as the wheel, printing press, steam engine, telegraph, computer, and internet each marked turning points in history by expanding human capabilities and reorganizing social structures. Artificial intelligence represents the latest stage in this evolutionary process of innovation, but it differs from earlier inventions in a fundamental way. While most historical inventions primarily enhanced physical strength, speed, or communication, artificial intelligence extends cognitive power by enabling machines to process information, recognize patterns, learn from data, and support decision-making. This article examines the relationship between historical invention and artificial intelligence from both a historical and analytical perspective. It argues that artificial intelligence should not be viewed as a sudden technological break but rather as part of a continuous trajectory of human innovation. At the same time, AI introduces new dimensions related to ethics, employment, creativity, knowledge systems, and governance. By comparing AI with earlier inventions, the article demonstrates that technological progress always brings both opportunities and disruptions. The study highlights that understanding the historical evolution of invention is essential to interpreting the significance of artificial intelligence in the contemporary world. It concludes that AI represents not only a technological advancement but also a profound social transformation that requires responsible management and ethical consideration.
DOI: https://doi.org/10.5281/zenodo.20112301
Historical Inventions And The Evolution Of Artificial Intelligence: A Scholarly Review
Authors: Dr Shivakumara C G
Abstract: The development of artificial intelligence (AI) represents one of the most transformative technological trajectories in human history. Rooted in early mechanical inventions and philosophical inquiries into intelligence, AI has evolved into a general-purpose technology influencing nearly every scientific and social domain. This article examines the historical continuum from early inventions—such as mechanical computation devices—to modern AI systems, highlighting key milestones, paradigm shifts, and interdisciplinary impacts. It argues that AI is not an isolated innovation but the culmination of centuries of intellectual and technological progress.
DOI: https://doi.org/10.5281/zenodo.20112362
Influence Of Advanced Technologies On Forensic Studies: A Study
Authors: Dr. Chandraprabha M. Patgar
Abstract: Forensic science has undergone a remarkable transformation with the integration of advanced technologies. Traditional investigative methods are increasingly being supplemented and enhanced by digital tools, artificial intelligence, biotechnology, and data analytics. This paper examines the influence of advanced technologies on forensic studies, highlighting their role in evidence collection, analysis, interpretation, and judicial processes. It also discusses challenges, ethical concerns, and future prospects. The study concludes that while advanced technologies significantly improve accuracy and efficiency, careful regulation and training are essential for their effective application.
DOI: https://doi.org/10.5281/zenodo.20112445
The Role Of Artificial Intelligence In Teaching–Learning Activities Of Higher Education In The 21st Century
Authors: Dinesha A V
Abstract: This paper analyses how the Artificial Intelligence is transforming teaching learning methods and activities in the fast changing 21st century, and its related challenges that the teaching community is encountering and the need of adopting to these changes. Artificial Intelligence has emerged as a transformative force in higher education, significantly reshaping teaching and learning practices. AI technologies such as adaptive learning systems, intelligent tutoring, and data analytics have enabled more personalized, flexible, and student-cantered learning experiences. These tools support educators by automating routine tasks, enhancing assessment methods, and providing real-time feedback, thereby improving both teaching efficiency and learning outcomes. Additionally, Artificial Intelligence fosters greater student engagement through interactive platforms, virtual simulations, and continuous academic support. However, its growing use also raises important concerns related to academic integrity, data privacy, and unequal access to technology. This study highlights both the opportunities and challenges of integrating Artificial Intelligence into higher education. It concludes that while Artificial Intelligence enhances educational effectiveness, its successful implementation requires a balanced approach that combines technological innovation with ethical responsibility and human-cantered teaching practices.
DOI: https://doi.org/10.5281/zenodo.20112881