Artificial Intelligence (AI) is rapidly transforming regional language media ecosystems in India, including Kannada media and communication. This article examines the growing integration of AI technologies across Kannada journalism, broadcasting, digital platforms, advertising, education, and public communication. With the expansion of digital news portals such as Prajavani, Kannada Prabha, Vijay Vani and Vijay Karnataka, AI-driven tools are increasingly used for automated news writing, speech recognition, real-time translation, audience analytics, and personalized content delivery. Broadcast media, including channels like TV9 Kannada, benefit from AI-powered transcription, subtitle generation, and content archiving systems that improve accessibility and efficiency. The article further explores AI applications in Kannada language technologies such as Optical Character Recognition (OCR), Text-to-Speech (TTS), and Natural Language Processing (NLP), which support digital preservation and wider dissemination of Kannada literature and information. In digital marketing and advertising, AI enables targeted communication tailored to Kannada speaking audiences, enhancing consumer engagement in urban centers like Bengaluru. Additionally, the study addresses ethical concerns including algorithmic bias, misinformation, job displacement, and data privacy challenges. By analyzing the opportunities and limitations of AI in Kannada media, this article argues that AI should function as a collaborative tool rather than a replacement for human creativity and editorial judgment. Responsible implementation, cultural sensitivity, and the development of high-quality Kannada language datasets are essential for sustainable growth. Ultimately, AI holds significant potential to strengthen regional communication while preserving linguistic and cultural identity in the digital age.

The extent of business trade industry was idle during Tamil Nadu C.M. Stalin’s period (2021- 2026), both in terms of buyers and choice of products available on the market. From a historical perspective, this can be explained by a number of factors such as the growing prosperity in society, laws, volatility and spread of new modes of communication and a rapid growth in population, a platform for economic sustainability, global reach, market strategy to build the new libraries in all parts of Tamil Nadu, flora-fauna, sustainability, customer friendliness and vice-versa.
With economic diversity in local markets in and around Madurai, you can define multiple stakeholders involved in different ways to suit stakeholder’s methods and ideas to empower rural society.
In Tamil Nadu, as elsewhere, diversity in libraries plays a crucial role in promoting social cohesion, educational equity, and cultural understanding among its diverse population. Public/Private-body sponsored libraries in the state serve as vital community hubs, offering inclusive access to information and resources for everyone, regardless of their background.
With a lot of fluctuation of cash/annas in markets, cash-flow, cash-in-hand, goods management, it’s our ease to re-shape a small vendor/spokesman/citizens of India with prosperous funds-flow, balance sheet, managing the libraries in a unanimous way to reach the heights with re-usability.

This paper assesses the current situation of Artificial Intelligence in Library and Information Science education in India. It discusses the advantages of using Artificial Intelligence in this field. The studies are based on a review of the academic courses framework, institutional reports, and significant government documents that influence national policy. The main focus is on Artificial Intelligence. How can it be incorporated into Library and Information Science education in India? 
Results suggest that AI curriculum integration is not fully developed, technological infrastructure varies across institutions, and faculty readiness is limited, even as awareness of AI’s professional relevance continues to expand. New AI applications - such as machine learning for information, natural language processing to generate metadata, chatbots for users’ service, and research analytics - are reshaping the skills needed in LIS. The paper pleads for curriculum restructuring, interdisciplinary co-operation, and support from the institution and its policy for meaningful AI assimilation. More robust AI-informed LIS education is required in order to prepare librarians to work effectively with intelligent knowledge ecosystems and technology-mediated learning spaces. 

Physical activity is positively associated with certain mental health traits with nonclinical investigations, with the most significant effects of physical exercise having been on self-concept and body image. An attempt to review the current understanding of the physiological and psychological mechanisms by which exercise improves mental health is presented in this review article. Regular physical activity improves the functioning of the hypothalamus-pituitary-adrenal axis. Depression and anxiety appear to be influenced by physical exercise, but to a smaller extent in the population than in clinical patients. The physical fitness measures are closely allied with disease prevention and health promotion; thus, it is common and appropriate to measure components of physical fitness before preventive and rehabilitative programs. It involves physical activity that provides various significant health benefits and is significant for human mechanical stress, and repeated exposure to gravitational forces created by frequent physical exercise increases a variety of characteristics, including physical strength, endurance, bone mineral density, and neuromuscular fitness, all of which contribute to a functional and independent existence. Exercise, defined as planned, systematic, and repetitive physical activity, enhances athletic performance by improving body composition, fitness, and motor abilities. The function of physical activity in preventing a wide range of chronic illnesses and premature mortality has been extensively examined and studied. The effect of adequate evidence links medical conditions such as cardiovascular disease and individual lifestyle behaviours, particularly exercise; numerous hypotheses attempt to explain the connection between physical fitness and mental health with human wellness and wellbeing. Physical activity was shown to help with sleep and improve various psychiatric disorders related to human stress through the most important physical exercises; in general, it is associated with a better mood and improved quality of life. Physical fitness has a central role in maintaining a person’s quality of life. 

Digital libraries have evolved from static repositories of digitized resources into dynamic knowledge ecosystems that support learning, research, and innovation. Recent advances in artificial intelligence (AI) are accelerating this transformation by enabling intelligent information services such as personalized discovery, automated knowledge organization, predictive analytics, and conversational reference systems. This paper examines how AI-driven technologies are reshaping digital libraries into “smart” information environments. Drawing on contemporary research and practice, the study analyzes core AI applications in digital libraries, including machine learning, natural language processing, recommender systems, and knowledge graphs. It further explores the implications of these technologies for user experience, librarianship, and institutional knowledge management. Importantly, the paper addresses ethical concerns related to data privacy, algorithmic bias, transparency, and professional accountability. The paper argues that smart digital libraries must balance technological innovation with human-centered values to ensure equitable, trustworthy, and sustainable information services in the digital age.

The photophysical properties of the iodinated coumarin derivative 4-(3-Iodo-phenoxymethyl)-6-methyl-chromen-2-one [4(3IP)6MC] has been studied using computational methods, using Gaussian 16W software in Density functional theory (DFT) with the B3LYP/3-21G level. The physical and chemical properties of 4(3IP)6MC have been studied. We have estimated the dipole moment, to identify the molecular stability frontier molecular orbitals (FMO), and the molecular electrostatic potential (MEP) investigates the coumarin molecule preferred locations for electrophilic and nucleophilic attacks. The distribution of Mulliken atomic charges has been performed. The nonlinear optical properties (NLO) have been calculated: dipole moment, polarizability, and first-order hyperpolarizabilities. The intermolecular interactions identified with natural bonding orbital (NBO) have been studied, and the temperature dependency of the thermodynamic characteristics has been analyzed. This iodinated coumarin derivative has advanced optical and imaging applications. 

Artificial intelligence has rapidly evolved from a technical subfield to a defining force in reshaping social, cultural, and economic life across the globe. This study investigates the monthly variability and inter-relationship of public discourse and policy engagement with artificial intelligence in 2025, focusing on the semi-arid discursive landscape of Bagalkot city, a rapidly digitizing district in Karnataka. Based on continuous monitoring of local news, institutional statements, and community feedback, levels of AI awareness ranged from 29.5 to 39 on a standardized index, while engagement with AI-related societal implications varied between 39.5 and 52, consistently exceeding baseline expectations for regions outside major metropolitan centers. Seasonal patterns showed elevated discourse during pre-monsoon and monsoon-onset months, influenced by academic calendars, policy announcements, local ed-tech activity, and regional technology festivals. The societal-to-technical discourse ratio (1.14–1.47) indicated a dominant presence of socio-ethical concerns, particularly during July–September, reflecting Bagalkot’s characteristic blend of traditional livelihoods and emerging digital economies. Strong co-variation between general AI awareness and specific societal-implications discourse suggests common drivers such as educational initiatives, local media coverage, and grassroots technology interventions. The findings provide valuable insights into the dynamics of AI-related societal discourse in non-metropolitan India and offer evidence to support targeted, seasonally adaptive public engagement strategies for artificial intelligence in semi-arid regions of Karnataka. 

Climate change is one of the most important global challenges facing humanity in the twenty-first century. Increasing greenhouse gas emissions caused mostly by fossil fuels have led to increased global warming and created serious environmental, economic, and societal problems. Renewable energy has become the main means of lowering carbon emissions and promoting sustainable development. In this article, we will explore the potential of renewable energy in combating climate change in terms of its environmental, economic, and societal implications. This article presents an overview of relevant secondary literature, objectives, methodology, results, problems, and suggestions for future action. The qualitative and descriptive analysis of secondary sources was conducted in order to identify how renewable energy impacts the environment, economics, and society. It can be stated based on the findings that the use of renewable energy technologies, including solar, wind, hydroelectric, geothermal, and biomass energy, can effectively decrease greenhouse gas emissions, enhance energy security, and foster sustainable economic growth. Nevertheless, some problems, like high start-up costs, technological issues, intermittency, and insufficient governmental policies exist. 

The rapid advancement of Artificial Intelligence (AI) is transforming political systems, governance structures, and democratic participation across the globe. Democracy, traditionally grounded in citizen participation, representation, accountability, and transparency, now faces profound changes due to AI-driven technologies such as machine learning, big data analytics, automated decision-making, and algorithmic governance. This study explores the evolving features of democracy in the age of artificial intelligence, examining both its merits and challenges. On one hand, AI enhances democratic processes through improved public service delivery, data-driven policymaking, increased administrative efficiency, and broader civic engagement via digital platforms. Governments can use AI to analyse public opinion, optimize resource allocation, and detect corruption, thereby strengthening democratic institutions. On the other hand, AI poses significant risks, including algorithmic bias, surveillance overreach, misinformation campaigns, digital inequality, and erosion of privacy. The use of AI in political campaigns, targeted advertising, and automated content generation may manipulate voter behaviour and distort public discourse. Furthermore, concentration of AI power within private corporations raises concerns about transparency and accountability. This study adopts a qualitative analytical approach to evaluate how democratic values such as equality, freedom, rule of law, and participation are reshaped in an AI-mediated society. It argues that while AI offers substantial opportunities to strengthen democratic governance, it simultaneously demands robust regulatory frameworks, ethical guidelines, and civic awareness to prevent democratic backsliding. The future of democracy depends not merely on technological advancement but on the capacity of societies to align AI innovation with democratic principles. 

The public policy evaluation provides crucial evidence to help policymakers understand what works, for whom and under what circumstances these methods typically involve combining results from different studies that investigate the same topic to have a comprehensive understanding of the subject.
In the field of evidence synthesis has the potential to change the approach to policymaking from a policy cycle and allow evaluations to feed into decision-making at multiple stages. Artificial intelligence is transforming public policy from reactive to predictive, enhancing decision-making through data-driven insights, increased efficiency, and improved service delivery.
Public policy by enabling more data-driven, predictive, and responsive governance, while at the same time producing profound changes in knowledge production and education in the social and policy sciences this element delves deeply into the intricate relationship between artificial intelligence and the policy process, unraveling how this technology is reshaping the formulation, implementation, and advice of public policies, as well as influencing the structures and actors involved.
The public policy was systematic commitment based on practice knowledge that guided the actions of policymakers. The rapid advancement of artificial intelligence and data science is reshaping the landscape of public policy and policymaking has long combined historical data, statistical methods, expert intuition, and qualitative insights. However, with the increasing availability of vast datasets and more sophisticated artificial intelligence tools, public policy now has an even greater capacity to be data-driven, predictive, and responsive.
These advancements come with ethical and epistemological challenges surrounding issues of bias, transparency, privacy, and accountability. This special issue explores the opportunities and risks of integrating artificial intelligence into public policy, offering theoretical frameworks and empirical analyses to help policymakers navigate these complexities.

Artificial Intelligence (AI) is increasingly shaping governance structures across the world. In India, the rapid expansion of digital infrastructure, data ecosystems, and e-governance initiatives has accelerated the integration of AI technologies in public administration and policymaking. As the world’s largest democracy, India presents a unique case for examining the intersection of technological innovation and democratic governance. AI has the potential to enhance efficiency, transparency, accountability, and evidence-based policymaking. However, it also raises critical concerns related to privacy, algorithmic bias, surveillance, misinformation, and the ethical implications of automated decision-making in democratic systems. This paper examines the role of Artificial Intelligence in transforming democratic governance in India. It explores the emerging applications of AI in areas such as public service delivery, smart governance, welfare distribution, digital identity systems, and electoral politics. The study argues that AI-driven governance mechanisms can significantly improve administrative efficiency and enable governments to respond more effectively to complex policy challenges. Through data analytics and predictive governance models, AI tools allow policymakers to make informed decisions based on large-scale datasets. Despite these opportunities, the integration of AI into democratic systems also creates risks that could undermine democratic values if not properly regulated. Algorithmic bias can reinforce social inequalities, while the use of AI in political communication may contribute to the spread of misinformation and manipulation of voter behavior. Furthermore, the expansion of data-driven governance raises concerns about privacy, surveillance, and the absence of comprehensive regulatory frameworks governing AI technologies. The paper argues that responsible AI governance requires a balanced approach that promotes technological innovation while safeguarding democratic principles. It emphasizes the importance of transparent regulatory frameworks, ethical guidelines, algorithmic accountability, and strong data protection laws. By developing inclusive and responsible AI governance mechanisms, India can harness the benefits of AI while protecting democratic institutions and citizen rights. 

The present study was conducted to examine the impact of artificial intelligence among male and female adolescents. Nowadays, modern technology is acquiring all fields around the world, including human life. Artificial intelligence (AI) plays a significant and uncontrollable role, which is highly dominated among male and female adolescents who are using it for gaining knowledge, enjoyment, and other relevant multiple purposes effectively in their everyday lives. Artificial intelligence is making a very valuable place as well as getting more space in the modern world; therefore, both positive as well as negative impacts on adolescent male and female lives are being studied by the following research. The sample for the study consisted of 50 adolescents (25 females and 25 males), aging between 16-18 years from various rural areas in Bhadravathi taluk, Shivamogga district. Both male and female groups belong to the rural area, and a random sampling technique was used. For the measurement and collection of data, an online questionnaire regarding the utilization of artificial intelligence was used via https://saferinternet4kids.gr/forms/ai_en_questionnaire/. The obtained data was analyzed by using mean, SD, and the ‘t’-test was applied. The result of the study concluded that there is a significant difference between female and male adolescents on the use of artificial intelligence, who are assessed over the use of artificial intelligence underlying various reasons with respect to different types of situations.

The success of an organization depends a lot on its employees and how well the organization can use their knowledge, energy, and experience. Two important psychological qualities-self-regulated behaviour (SRB) and emotional intelligence (EI)-play a big role in both personal and professional success. SRB is the ability to control thoughts, feelings, and actions to reach long-term goals. EI is the ability to recognize, understand, and manage one’s own emotions as well as those of others. This paper looks at how SRB and EI work together, covering what they mean, how they are measured, and how they affect individuals and organizations. A study with 100 employees from different industries was done to explore these connections. The results showed a strong positive link between EI and SRB (r = .58, p < .01). Both traits are closely tied to workplace productivity, resilience, and mental health. The findings suggest that EI helps people better understand emotions, which is key for self-regulation, while SRB offers the structure needed to use emotional skills effectively. The paper ends with suggestions for improving the workplace and ideas for future research. 

Artificial Intelligence is rapidly reshaping the structure and dynamics of human relationships in contemporary society. From communication and social interaction to emotional bonding and professional collaboration, AI-driven technologies are influencing how individuals connect, communicate and build trust. In the social, professional, and personal spheres, artificial intelligence (AI) is quickly changing the dynamics and composition of human relationships. AI technologies are having a growing impact on how people interact, make connections, and sustain relationships as they are incorporated into online social networks, virtual assistants, and digital communication platforms.
Artificial intelligence (AI) algorithms are used by social media sites like Facebook and Instagram to select content and influence user interaction, hence influencing social behavior and communication patterns. The expectations of responsiveness and companionship are also being redefined by AI-powered virtual assistants such as Siri and Alexa, which mimic conversational exchanges.
This paper’s main goal is to examine artificial intelligence and how it is changing human relationships, paying particular attention to how it affects social structures, emotional bonds, communication styles, and professional contacts. The majority of the data used in this study came from secondary sources. Secondary data has been gathered from a number of trustworthy sources, including government publications, research journals, published reports, textbooks, conference papers, and websites that have been verified. To comprehend how artificial intelligence is transforming human relationships, the gathered data was thoroughly examined, examined, and interpreted. I can also format this in the appropriate research paper format, including headings for the Introduction, Objectives, Methodology, Findings and Conclusion.

Artificial Intelligence (AI) has become a transformative force in the 21st century, influencing economic production, governance, healthcare, education, and everyday social interaction. While AI promises efficiency, innovation, and economic growth, it also poses significant risks of deepening social inequality. This seminar paper examines how AI interacts with structural inequalities related to class, caste, gender, race, region, and global power hierarchies. Drawing on classical sociological theory, contemporary critical scholarship, and empirical case studies from India and Karnataka, the paper argues that AI is not socially neutral. Rather, it reflects and often amplifies existing power structures embedded in data, institutions, and markets. The study explores economic inequality, algorithmic bias, digital divide, educational disparity, health inequity, and global data colonialism. It further analyzes India’s digital governance initiatives, the role of the Unique Identification Authority of India, and Karnataka’s AI ecosystem centered in Bengaluru. The paper concludes with policy recommendations for inclusive AI governance aimed at reducing inequality and promoting social justice in the digital age.

Artificial Intelligence (AI) has become an integral part of students’ daily lives. It influences their learning patterns, communication styles, and social behaviour. This study examines digital engagement and social behaviour associated with AI use among undergraduate students of college. Based on primary data collected from 210 respondents, the paper analyses awareness, usage patterns, and social interaction with AI tools. The findings reveal that, while AI is widely used for academic and informational purposes, its integration into social life remains partial and marked by hesitation. The study highlights emerging sociological concerns related to digital dependency, changing interaction patterns, and ethical considerations. The paper contributes to contemporary sociological discourse on technology and youth culture.

Artificial Intelligence-enabled solutions can help identify the key areas of improvement in the education space, while analyzing the needs of each student in a personalized manner, to help every student derive the benefits of education, which can help bridge the socioeconomic inequities in the country. Artificial Intelligence (AI) and Machine Learning (ML) models are rapidly impacting all sectors that touch human lives in a myriad of ways. The education system, being integral to one’s self-development, is witnessing a huge opportunity. Education becomes a tool of equality when it ensures equal access, equal quality, and equal outcomes across socio-economic, gender, and regional lines. This lies in improving the efficiency of teachers inside classrooms, by automating their activities of grading assignments, resolving students’ queries, and conducting assessments. 
The knowledge background and desired outcome from education play a major role in determining the learning effectiveness. Since each of these factors is specifically unique for each student, an ideal learning system cannot have a one-size-fits-all approach and must adapt to the students. Artificial Intelligence algorithms can record and track the academic and non-academic progress of students in a school and identify those who need additional attention in specific areas. The Artificial Intelligence-based digital solutions can autonomously formulate revision curriculums and learning frameworks, personalized for such students. Such applications can also assist the teachers with a customized data-driven lesson plan that can help the teacher connect with the student on a personal note and provide pedagogical interventions in the correct area. Challenges do exist in the implementation of the Artificial Intelligence solutions. The stakeholders and policymakers have to understand that Artificial Intelligence is not a substitute, but a supplement to the classroom teaching programmes. 

Artificial intelligence transformation opens broad opportunities for improving the quality of life and enhancing urban efficiency, yet it simultaneously carries serious risks of discrimination, exclusion, and the erosion of trust between citizens and institutions. Ultimately, it serves as an early warning, highlighting the urgent need for smart public policies that promote digital inclusion, economic participation, and citizen involvement in technological decision-making to preserve social cohesion and ensure sustainable urbanism and social belonging in smart cities.
The integration of artificial intelligence technologies presents a complex challenge, in that social belonging is no longer solely determined by cultural or spatial factors but is increasingly linked to individuals’ ability to integrate into digital infrastructures and benefit from the emerging urban digital economy.
Through a theoretical lens, the adoption of artificial intelligence in service distribution, mobility, housing, and governance may reinforce social and economic inequalities, especially for digitally excluded populations. The rise of the algorithmic self presents a profound ethical dilemma at the intersection of autonomy and algorithmic determinism. As artificial intelligence systems increasingly shape our preferences, decisions, and self-perceptions, the individual’s sense of authorship over their own life may erode.
This challenges the notion of a self-directed, autonomous person and raises concerns about the subtle influence of algorithmic nudges on human agency. Rather than documenting a current crisis, if smart technologies are deployed without inclusive design and equitable access, they risk deepening digital divides and producing new forms of urban marginalization. Urban artificial intelligence, rather than being an end in itself, should serve as a means to foster sustainable, inclusive, and resilient urban futures.

This dimension of Artificial Intelligence is substituting human capacities due to its benefits in diverse spheres of life. While studies abound in the comparison between Artificial Intelligence and human intelligence in terms of their cognitive capacities, very few have focused on the emotional aspect. This study, therefore, utilized secondary data by reviewing empirical studies to examine the implications of Artificial Intelligence in the emotional aspects of human communication.
While Artificial Intelligence excels at processing data and automating routine tasks, the uniquely human abilities to connect, empathize, and navigate complex social situations are emerging as critical differentiators in the modern workplace. The study is anchored on basic emotion theory and technological determinism which enunciate the fundamentals of emotional AI and its effects creating the need for human emotional intelligence once again. It’s what reminds us that behind every task is a human being with aspirations, struggles, and creativity. Without it, work risks becoming mechanical, leaving employees feeling more like cogs than contributors. The future of work must blend Artificial Intelligence precision with humanity’s heart, ensuring people feel valued not just for their output, but for their presence.
The algorithm might offer a semblance of solace, a feeling of being heard without judgment. But true growth, true healing, often happens in the messy, unpredictable space between two human hearts. As we continue to explore the possibilities of Artificial Intelligence let’s not forget the profound power of human connection. Artificial Intelligence systems might emulate emotions as experienced by humans and plausibly by other animals. It presents a thought experiment grounded in the hypothesis that natural emotions evolved as heuristics for rapid situational appraisal and action selection, enabling biologically adaptive behavior without requiring full deliberative modeling. The text examines whether artificial systems operating in complex action spaces could similarly benefit from these principles. It is proposed that affect be interwoven with episodic memory by storing corresponding affective tags alongside all events.

Artificial intelligence (AI) systems are changing the social, economic, and healthcare environment at a very rapid pace, but the use of AI technology has a differential and disproportionate impact on women. This article examines the existing literature on the impact of AI technologies on women’s lives in four broad categories: algorithmic bias and gender discrimination, economic and workforce participation, safety and digital rights, and health and well-being. Based on the existing literature on the discriminatory recruitment algorithms, facial recognition technology failures, and pervasive workplace surveillance, as well as new literature on AI-facilitated harassment through deepfakes and non-consensual intimate images, this article argues that AI technologies both perpetuate existing gender inequalities and create new ones. At the same time, the existing literature also suggests the ways and means of responsible AI design, governance, and policy that can mitigate these effects and ensure more equitable outcomes. The key findings of this article are that there is empirical evidence of gender bias in recruitment algorithms, the disproportionate risk of job automation for women, pervasive workplace surveillance that threatens privacy, and the use of AI-generated deepfake pornography to target women. The article ends with recommendations for the development of gender-sensitive data sets, the use of inclusive design, the employment of robust bias evaluation techniques, and the enhancement of legal and platform accountability to ensure that AI technologies support and do not undermine women’s rights and opportunities.

Artificial intelligence by analyzing macro-social levels and social sustainability can shed light on how it affects processes such as socialization, education, training, employment, communication, leisure and work. Furthermore, the impact of artificial intelligence on social sustainability is a critical concern. The concept of social sustainability has been hard to define, and instead, many discipline-specific descriptions have addressed various aspects depending on the context in which they appear. Although sustainability is usually understood as having three dimensions: the environment, society, and the economy, the debate on sustainable artificial intelligence so far is characterized by a narrow focus on the environmental sustainability of artificial intelligence. It is argued that the debate on sustainable artificial intelligence should not only be about environmental costs, but also incorporate social and economic concerns. Digital literacy, understood in its epistemic, ethical, and political dimensions, enables critical agency in algorithmically mediated environments. Through a structured analysis of current literature and policy perspectives, the article highlights the need for inclusive, situated, and interdisciplinary educational strategies that empower citizens to participate. More precisely, the article shows that artificial intelligence’s environmental impact is often connected to important social and economic issues. Through an analysis of existing literature on the sustainability of artificial intelligence, it is demonstrated that ethical and philosophical arguments about the importance of considering the environmental costs of artificial intelligence apply just as well to the social and economic dimensions of artificial intelligence development. It has been described as a double-edged sword, embodying both significant risks and promises for human society when viewed in relation to the social dimension of the sustainability development goals (SDGs) proclaimed in the Agenda 2030. 

Artificial Intelligence (AI) has emerged as a transformative technological force that is reshaping various aspects of human life, including the nature of social relationships. The increasing integration of AI in communication platforms, social media, digital assistants, and conversational agents has significantly influenced the way individuals interact, communicate, and maintain relationships. This study examines the sociological implications of artificial intelligence on social relationships by analysing both its positive and negative impacts. The paper reviews existing scholarly literature and applies sociological perspectives such as functionalism, conflict theory, symbolic interactionism, and network society theory to understand how AI-mediated interactions influence social structures and interpersonal behaviour. The analysis highlights that AI technologies contribute positively by improving communication efficiency, strengthening long-distance relationships, enhancing social inclusion for people with disabilities, and providing emotional support through digital platforms. However, the study also identifies several challenges associated with AI use, including reduced face-to-face interaction, emotional dependency on AI systems, privacy concerns, artificial intimacy, and the potential erosion of authentic human communication. The paper further discusses measures to promote healthy social relationships in the AI era through responsible technology use, ethical AI design, digital literacy, and stronger community engagement. The study concludes that while AI offers significant opportunities for social connectivity, careful governance and ethical practices are necessary to ensure that technological advancement strengthens rather than weakens human relationships. 

India is a rural country from ancient times, with the village as one of the most significant study areas of the social perspective of the Indian life structure. 2011 census reveals that 69% population that is 833 million people lives over 6,49,000 villages in India. Surveys conducted between 2014 to 2024 says that the village population is gradually decreasing and reached 63%, besides urbanization and developmental activities it is noticed that the majority of the Indian population still lives in a village atmosphere. Rapid development in transportation and communication facilities enlarged village territories. Today in India more than 4000 villages are listed with more than 10k population. Beyond numerical majority, rural India is facing a lot of problems due to which developments are awaited in the rural parts of the country in turn country’s development. Beyond all the obstacles and social complications traditional Indian society needs to readdress all the challenges and complications. Government of India (GoI) mandated corporate social responsibility (CSR) activities to the companies. The “Companies Act 2013” which was evolved from a philanthropic act to strategic means towards rural transformation to the new horizons. CSR is one of the most powerful instruments ever through which we can expect something for the village and in turn from the village. Under the CSR concept companies adopt villages and address all the issues regarding economic and social concerns with a legal framework. Government machinery also keeps an eye on companies’ CSR actions as evidence of good governance. 

Personalized learning has emerged as a central vision for 21st-century education, but traditional instructional design often fails to deliver adaptive, learner-centered experiences at scale. Advances in artificial intelligence (AI) have enabled the development of adaptive AI models that dynamically tailor educational content and pathways to individual learners’ needs, preferences, and progress. This paper examines the theoretical underpinnings of adaptive AI models, analyzes their potential to reshape instructional design, and addresses key ethical, practical, and pedagogical considerations. Through conceptual analysis and synthesis of recent developments, we foreground the opportunities and constraints of integrating adaptive AI models in diverse educational contexts. We argue that rethinking instructional design requires moving beyond static curricula toward systems that are both learner-responsive and pedagogically grounded. Finally, we propose a framework for ethically responsible implementation and outline research directions to ensure equitable, transparent, and effective AI-enhanced learning environments. 

Artificial Intelligence (AI) is rapidly transforming language learning and communication by offering adaptive, personalized, and context-aware learning experiences. AI-powered tools such as intelligent tutoring systems, natural language processing applications, chatbots, and speech recognition platforms provide learners with real-time feedback, tailored learning pathways, and enhanced opportunities for autonomous practice. These innovations have expanded access to language learning while improving skills in vocabulary, pronunciation, grammar, and intercultural communication. However, the integration of AI also introduces significant challenges: ethical concerns including data privacy, issues of equitable access, the risk of technological over-reliance, and the potential erosion of human interaction in pedagogical contexts. This paper explores the dual nature of AI’s role in language education by examining its potential and pitfalls, and discussing key pedagogical implications for teachers, learners, and curriculum designers. It argues for a balanced approach that leverages AI as a supportive complement to human-centered language teaching.

The rapid advancement of digital technologies has significantly reshaped global economic systems, giving rise to what is now known as the digital economy. This transformation is characterized by the integration of digital technologies into all aspects of economic activity, fundamentally altering production, distribution, and consumption patterns. At the core of this transformation lies Artificial Intelligence (AI), which has emerged as a critical driver of innovation, productivity, and efficiency across sectors. This paper explores the intersection between the digital economy and AI by analyzing their combined impact on economic growth, labor markets, governance, and evolving business models. Drawing on secondary data and conceptual analysis, the study highlights how AI strengthens digital platforms, enhances decision-making processes, and opens new avenues for economic opportunities. At the same time, it raises critical concerns regarding income inequality, technological unemployment, and ethical governance. The paper concludes by emphasizing the need for balanced policy frameworks that ensure sustainable and inclusive growth within the digital economy. 

The health benefits of physical activity far outweigh the risks of getting hurt for hope every person who has fit and fitness body position in skill-related fitness is more personal. Regular physical activity provides for one and all persons may want to develop in only one skill-related area, while someone else might want to develop in three or four areas if you want to know more about how physical activity improves your health, the section below gives more detail on what research studies have found. To contribute of balancing work with health-related fitness is essential to prevent chronic diseases, reduce stress, and avoid burnout, while simultaneously boosting productivity and mental clarity. Prioritizing physical activity alongside professional demands ensures long-term sustainability, better job satisfaction, and improved overall quality of life by preventing the exhaustion often caused by sedentary, high-stress jobs. There is no magical cure-all. But if there were one, physical activity would be it. We need to be fit in all areas or the so-called ten components of fitness, regardless of whether we’re competing or simply someone who wants to be physically fit. Physical activity in daily life can be categorized into occupational, sports, conditioning, household, or other activities. The skill-related components of physical fitness relate specifically to skills that are used in sports, and often (not always) combine other components of fitness in relation to performance and movement efficiency, usually, the skill-related components of physical fitness are required in order to perform the skill well. Exercise is a subset of physical activity that is planned, structured, and repetitive and has as a final or an intermediate objective the improvement or maintenance of physical fitness a set of attributes that are either health- or skill-related. The degree to which people have these attributes can be measured with specific tests. These are all offered as an interpretational framework for comparing studies that relate physical activity, exercise, and physical fitness to health. Physical activity includes exercise as well as other activities which involve bodily movement and are done as part of playing, working, active transportation, house chores and recreational activities. 

ಉನ್ನತ ಶಿಕ್ಷಣದಲ್ಲಿ ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆಯು (AI) ಸಾಂಪ್ರದಾಯಿಕ ಬೋಧನೆ ಮತ್ತು ಕಲಿಕೆಯ ವಿಧಾನಗಳಲ್ಲಿ ಕ್ರಾಂತಿಕಾರಕ ಬದಲಾವಣೆಯನ್ನು ಉಂಟುಮಾಡಿದೆ. ಇದರ ಮೂಲಕ ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆಯು (AI) ಪ್ರಮುಖ ಪಾತ್ರವಹಿಸುತ್ತದೆ. ಇದು ಪಠ್ಯಕ್ರಮ, ಅಭಿವೃದ್ಧಿ, ಬೋಧನಾ ಅಭ್ಯಾಸ ಮತ್ತು ವಿದ್ಯಾರ್ಥಿಗಳ ಕಲಿಕಾ ಅನುಭವಗಳನ್ನು ಮತ್ತು ಸಂಸ್ಥೆಯ ಕಾರ್ಯಾಚರಣೆಗಳ ಮೇಲೆ ಅದರ ಪರಿವರ್ತಕ ಪರಿಣಾಮಗಳನ್ನು ಪರಿಶೀಲಿಸುತ್ತದೆ.
ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆಯ (AI) ತಂತ್ರಜ್ಞಾನ ವೈಯಕ್ತಿಕಗೊಳಿಸಿದ ಕಲಿಕೆಯ ಅನುಭವವನ್ನು ಸುಗಮಗೊಳಿಸಿದೆ. ಇದು ವೈಯಕ್ತಿಕವಾಗಿ ವಿದ್ಯಾರ್ಥಿಗಳ ಅಗತ್ಯತೆಗಳು ಮತ್ತು ಕಲಿಕೆಯ ಶೈಲಿಗಳನ್ನು ಪೂರೈಸುತ್ತದೆ. ಹೊಂದಾಣಿಕೆಯ ಕಲಿಕಾ ವೇದಿಕೆಗಳು ಮತ್ತು ವಿಷಯದ ವೇಗ ಮತ್ತು ವ್ಯವಸ್ಥೆಗಳನ್ನು ಸುಧಾರಿಸುತ್ತದೆ. ಶಿಕ್ಷಣದ ಫಲಿತಾಂಶಗಳನ್ನು ಕಸ್ಟಮೈಸ್ ಮಾಡಲು ಮತ್ತು ಅಪಾರ ಪ್ರಮಾಣದ ಡೇಟಾವನ್ನು ಮೌಲ್ಯಮಾಪನ ಮಾಡಲು ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆಯನ್ನು (AI) ಬಳಸಿಕೊಳ್ಳಲಾಗಿದೆ. ಈ ಮೂಲಕ ಕಲಿಕೆಯ ಬುದ್ಧಿಮತ್ತೆ ಬೋಧನಾ ವ್ಯವಸ್ಥೆಯನ್ನು ವಿಶ್ಲೇಷಿಸುತ್ತದೆ. ಪ್ರಸ್ತುತ ಉನ್ನತ ಶಿಕ್ಷಣದ ಮೇಲೆ ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆಯ (AI) ಪ್ರಭಾವವನ್ನು ಇಲ್ಲಿ ವಿಶ್ಲೇಷಣೆ ಮಾಡಲಾಗಿದೆ.