International Journal of Innovative Research in Humanities & Technology
Digital Inclusion Strategies for Marginalized Communities
Digital technologies play a vital role in socioeconomic development by improving access to education, healthcare, employment, finance, governance, and communication. However, many marginalized communities continue to face digital exclusion due to poverty, inadequate infrastructure, low digital literacy, language barriers, gender inequality, and geographical isolation. This digital divide limits social inclusion and sustainable development. This study proposes a comprehensive digital inclusion framework that integrates affordable infrastructure, digital literacy programs, accessible devices, multilingual content, cloud services, artificial intelligence, and community participation. The framework emphasizes collaboration among governments, educational institutions, healthcare providers, private organizations, and local communities to create sustainable digital transformation initiatives. Artificial intelligence supports personalized learning, targeted service delivery, resource optimization, and evidence-based policymaking, while cloud and mobile technologies enhance access to digital services in underserved areas. The framework also addresses affordability, usability, cybersecurity awareness, trust, and sustainability. Performance indicators such as internet access, digital literacy, online service usage, employment opportunities, educational participation, healthcare access, financial inclusion, and citizen satisfaction are used to monitor and evaluate outcomes. The study highlights the importance of culturally inclusive and community-driven services that empower rural populations, women, elderly individuals, persons with disabilities, indigenous communities, and migrant workers. The research concludes that digital inclusion is not only a technological challenge but also a social transformation process that promotes equity, strengthens institutions, improves public services, and enables wider participation in the digital economy.
Information and Communication Technology (ICT)
Copyright (c) 2025 International Journal of Innovative Research in Humanities & Technology
Ethical Challenges in Human–AI Co-Creation Processes
Human–Artificial Intelligence (AI) co-creation refers to the collaborative creation of content, designs, decisions, software, and research outputs by humans and intelligent systems. The rapid advancement of generative AI technologies has transformed creativity and innovation across education, healthcare, business, engineering, media, and scientific research. While AI enhances productivity, creativity, and problem-solving, it also raises significant ethical concerns related to accountability, transparency, fairness, privacy, intellectual property, trust, and human agency. Unlike traditional human–computer interaction, AI actively contributes to ideation and decision-making, making ethical governance increasingly important. This study examines the ethical challenges of Human–AI co-creation through a literature review and proposes a conceptual framework encompassing fairness, accountability, transparency, privacy, intellectual property protection, trustworthiness, and human oversight. The findings indicate that accountability and transparency are the most influential factors for responsible AI collaboration, while bias and intellectual property disputes remain major barriers to adoption. The study highlights the need for ethical governance frameworks, transparent AI systems, regulatory compliance, and human oversight to promote trustworthy and responsible co-creative practices. Overall, the proposed framework supports sustainable Human–AI collaboration by balancing technological innovation with ethical responsibility, ensuring that AI complements rather than replaces human creativity.
Technology-Mediated Learning and Knowledge Retention among Students
Technology-mediated learning has transformed education by improving knowledge acquisition and retention through digital technologies such as Learning Management Systems (LMS), Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), adaptive learning platforms, and mobile learning applications. These technologies support personalized learning, collaboration, interactive content, and timely feedback, enhancing student learning experiences. This study investigates the relationship between technology-mediated learning and student knowledge retention using a quantitative research framework. A structured questionnaire was administered to undergraduate and postgraduate students who regularly use digital learning tools. Statistical techniques, including descriptive statistics, reliability testing, correlation analysis, and comparative performance evaluation, were employed to identify key factors influencing knowledge retention. The proposed Technology-Mediated Knowledge Retention Framework (TMKRF) integrates instructional design with adaptive digital technologies to improve learning outcomes through continuous assessment, personalized feedback, spaced repetition, and collaborative learning. The findings indicate that technology-mediated learning significantly enhances knowledge retention, conceptual understanding, motivation, and academic performance compared with traditional teaching methods. Although challenges such as digital inequality, cognitive overload, technological competency, internet connectivity, and data privacy persist, the study offers practical recommendations for educators, institutions, technology developers, and policymakers. The proposed framework contributes to the development of effective digital learning environments that support long-term knowledge retention and lifelong learning.
Cloud Computing Adoption in Small and Medium Enterprises
Cloud computing has become a key technology that enables Small and Medium Enterprises (SMEs) to improve operational efficiency, reduce infrastructure costs, enhance business agility, and support digital transformation. By providing on-demand access to computing resources, storage, software, and networking services, cloud computing allows SMEs to adopt advanced technologies without significant capital investment. Despite its benefits, cloud adoption is influenced by several technological, organizational, environmental, financial, and security-related factors. Challenges such as data privacy, cybersecurity risks, regulatory compliance, vendor lock-in, and limited technical expertise often affect adoption decisions. This study examines the critical factors influencing cloud computing adoption using a framework based on technological, organizational, and environmental dimensions. It also considers major cloud deployment models and service models, including IaaS, PaaS, and SaaS. The findings indicate that cloud computing improves scalability, resource utilization, collaboration, business continuity, and decision-making while reducing operational and maintenance costs. However, successful implementation requires effective security measures, employee training, organizational readiness, and reliable cloud service providers. The study provides valuable insights for researchers, policymakers, technology vendors, and business managers to support effective cloud adoption and enhance the digital competitiveness and sustainable growth of SMEs.
Virtual Collaboration and Its Influence on Organizational Culture
Virtual collaboration has transformed modern organizations by reshaping communication, teamwork, leadership, and workplace interactions through digital technologies and remote work. This study examines the impact of virtual collaboration on organizational culture, focusing on communication effectiveness, employee engagement, trust, leadership adaptability, and knowledge sharing. It also explores the role of collaboration tools such as video conferencing, enterprise messaging, project management platforms, and cloud-based workspaces in influencing workplace culture. Using a structured research methodology, the study analyzes survey data and organizational performance indicators to evaluate cultural changes. The findings reveal that effective virtual collaboration enhances communication, productivity, adaptability, and knowledge sharing. However, excessive reliance on virtual interactions may reduce interpersonal relationships, social bonding, and emotional engagement. The study concludes that organizations should adopt clear communication strategies, digitally adaptive leadership, employee engagement initiatives, and robust collaboration technologies to build a resilient and collaborative organizational culture. Virtual collaboration is therefore not only a technological shift but also a significant cultural transformation that influences long-term organizational success.
Human Behavior Analytics in the Era of Digital Interaction
Human Behavior Analytics (HBA) is an emerging interdisciplinary field that combines data science, artificial intelligence (AI), machine learning (ML), psychology, and behavioral sciences to understand and predict human behavior in digital environments. By analyzing data from social media, e-commerce, mobile applications, and online platforms, HBA helps organizations improve personalization, decision-making, cybersecurity, and user experiences. This study proposes a comprehensive HBA framework incorporating data collection, preprocessing, feature engineering, machine learning models, and decision intelligence. Using simulated digital interaction data, the framework demonstrates improved accuracy in user profiling, engagement prediction, anomaly detection, and decision support. Despite its benefits, HBA raises ethical concerns related to privacy, consent, algorithmic bias, and data security. Therefore, responsible AI practices and regulatory compliance are essential. The findings emphasize HBA’s growing strategic importance in the digital economy and highlight the need for explainable AI, privacy-preserving analytics, and ethical behavioral intelligence systems in future research.
The Rise of Virtual Influencers and Their Effect on Consumer Perceptions
The rapid advancement of digital technology, artificial intelligence (AI), and social media has transformed influencer marketing through the emergence of Virtual Influencers (VIs)—computer-generated personalities designed to engage audiences like human influencers. Popular virtual influencers such as Lil Miquela, Shudu, and Imma have gained global recognition and collaborated with major brands. Unlike human influencers, virtual influencers offer greater control, consistency, customization, and reduced reputational risks. This study examines consumer perceptions of virtual influencers, focusing on trust, authenticity, brand engagement, and purchase intentions. Drawing on Social Presence Theory, Source Credibility Theory, Parasocial Interaction Theory, and Technology Acceptance Theory, the research uses a quantitative survey approach among social media users. Key variables include perceived authenticity, attractiveness, trustworthiness, technological innovativeness, brand credibility, and purchase intention. The findings reveal that virtual influencers significantly influence consumer attitudes, particularly among younger digital-native audiences. Consumers appreciate their creativity, innovation, and visual appeal, while transparency about their artificial nature enhances trust and acceptance. The study concludes that virtual influencers can effectively support brand communication strategies when authenticity, ethical transparency, and consumer trust are maintained. Overall, virtual influencers represent a promising innovation in digital marketing, offering brands new opportunities for engagement and personalized communication. Future research may explore cross-cultural differences, AI-driven influencer development, and long-term consumer interactions in immersive digital environments.
Digital Transformation of Public Libraries in the Information Age
Digital technologies have transformed public libraries by changing how information is created, stored, accessed, and shared. Traditional libraries are evolving into digitally enabled knowledge centers through the adoption of information and communication technologies (ICT), cloud computing, artificial intelligence, digital repositories, mobile services, and online platforms. This transformation helps libraries meet the growing demand for anytime, anywhere access to information. Digital services such as e-books, electronic databases, virtual reference systems, and digital archives improve accessibility and user engagement. However, libraries also face challenges including infrastructure costs, staff training, cybersecurity, digital literacy, privacy protection, and intellectual property management. This study proposes a Digital Public Library Transformation Framework that integrates digital infrastructure, cloud-based systems, AI services, digital content delivery, and user-centered knowledge services. The framework aims to improve service quality, accessibility, operational efficiency, and community participation. The results indicate that digitally transformed libraries outperform traditional libraries by enhancing information access, reducing service delivery time, increasing resource usage, and promoting digital literacy and lifelong learning. The study concludes that digital transformation is essential for ensuring the sustainability and relevance of public libraries in the Information Age.
The Role of Emerging Technologies in Shaping Collective Memory
Collective memory refers to the shared understanding and preservation of historical events, cultural practices, and societal experiences within communities. Emerging technologies such as Artificial Intelligence (AI), Big Data, Cloud Computing, Blockchain, Augmented Reality (AR), Virtual Reality (VR), digital archives, and social media have transformed the creation, preservation, and dissemination of collective memory. These technologies enable large-scale information storage, interactive historical experiences, and broader public participation. This study examines the role of emerging technologies in shaping collective memory and digital heritage preservation. AI supports automated content organization and historical restoration, while AR and VR enhance user engagement through immersive experiences. Social media platforms facilitate real-time documentation and collective interpretation of events. However, challenges such as misinformation, algorithmic bias, privacy concerns, digital manipulation, and unequal access to technology may affect the authenticity and reliability of historical narratives. The findings indicate that emerging technologies improve accessibility, preservation, and public engagement, but effective governance, ethical AI practices, and inclusive digital preservation policies are necessary to ensure sustainable and trustworthy collective memory management. The study provides valuable insights for researchers, policymakers, and cultural institutions involved in digital heritage preservation.
The Impact of Personalized Content Algorithms on Social Awareness
Personalized content algorithms have become a key component of digital communication, influencing how users access and engage with information on social media, search engines, news platforms, and streaming services. These algorithms use AI, machine learning, and user behavior data to deliver content tailored to individual preferences. While personalization improves relevance, convenience, and user engagement, it also raises concerns about information diversity, social awareness, and democratic participation. This study examines the impact of personalized content algorithms on social awareness, focusing on information exposure, civic engagement, and understanding of societal issues. Using a quantitative research approach, data were collected from digital platform users through surveys and statistical analysis. The findings indicate that moderate personalization enhances information accessibility and engagement, whereas excessive personalization can limit exposure to diverse viewpoints and broader social issues. Users who consume varied content demonstrate higher social awareness, civic engagement, and critical thinking. The study also finds that algorithm transparency and explainability improve user trust and informed decision-making. The research emphasizes the need for responsible algorithm design, ethical AI governance, diversity-aware recommendations, and user-controlled personalization settings to balance personalized experiences with broader social awareness. Overall, personalized content algorithms can improve information consumption, but maintaining diversity of information is essential for a well-informed society.
Digital Consumer Culture and Changing Lifestyle Preferences
Digital consumer culture has transformed modern lifestyles through the widespread adoption of digital technologies, internet connectivity, social media, artificial intelligence, and mobile applications. Consumers have shifted from traditional purchasing methods to digitally driven behaviors, relying on online platforms, reviews, personalized recommendations, and social influences for decision-making. Digital services such as e-commerce, online payments, streaming platforms, and social networking applications have become integral to daily life. This study examines the relationship between digital consumer culture and changing lifestyle preferences. Using a descriptive survey approach, the research analyzes how social media, digital marketing, online shopping, and emerging technologies influence consumer behavior and daily routines. The findings reveal that digital platforms significantly affect purchasing decisions, brand loyalty, communication habits, entertainment choices, and lifestyle preferences. The study also identifies that younger generations show greater dependence on digital services and prefer convenience, personalization, and online experiences. While digitalization enhances accessibility, efficiency, and consumer empowerment, it also creates challenges such as privacy concerns, digital dependency, and information overload. The research concludes that future consumer lifestyles will continue to evolve through technological innovations and artificial intelligence, providing valuable insights for businesses, marketers, researchers, and policymakers.
Copyright (c) 2024 International Journal of Innovative Research in Humanities & Technology
Online Communities as Catalysts for Social Change and Activism
Online communities have become powerful tools for social change and activism by enabling information sharing, public awareness, resource mobilization, and collective action. Through social media, forums, and digital networks, people can participate in social, political, environmental, and human rights movements across geographic boundaries. This study examines how digital platforms support activism through communication, engagement, and community participation. Using methods such as social network analysis, sentiment analysis, and engagement analytics, the research finds that higher digital engagement is strongly linked to campaign success. Key success factors include community trust, effective leadership, relevant content, and technological accessibility. Despite challenges such as misinformation, polarization, algorithmic bias, privacy concerns, and digital inequality, online communities remain a vital force in modern activism and are expected to evolve further with emerging technologies like AI and decentralized networks.
Public libraries are undergoing digital transformation by adopting technologies such as ICT, cloud computing, artificial intelligence, digital repositories, and mobile services to improve information access and user engagement. This shift helps libraries meet the growing demand for anytime, anywhere access to digital resources. The study proposes a Digital Public Library Transformation Framework that integrates digital infrastructure, intelligent services, and user-centered knowledge delivery. Results show that digitally transformed libraries improve information accessibility, service efficiency, resource utilization, and digital literacy. The findings highlight that digital technologies are essential for maintaining the relevance, sustainability, and effectiveness of public libraries in the Information Age.
Artificial Intelligence and the Future of Human Knowledge Creation
Artificial Intelligence (AI) is transforming knowledge creation by enabling faster data processing, pattern recognition, content generation, and decision support. Technologies such as machine learning, deep learning, natural language processing, and generative AI enhance human creativity, research, and innovation across fields like education, healthcare, business, and science. AI improves the speed, scalability, and efficiency of knowledge generation, but challenges such as bias, misinformation, lack of transparency, and ethical concerns remain. The future of knowledge creation lies in human–AI collaboration, where AI complements human intelligence while ethical governance and human oversight ensure trustworthy and responsible outcomes.
Human Perception of Trust in AI-Assisted Communication Systems
Artificial Intelligence (AI) has transformed modern communication systems by enabling intelligent interactions, automated content generation, personalized recommendations, real-time translation, and conversational support. The widespread adoption of AI in areas such as social media, healthcare, education, customer service, and enterprise communication depends largely on user trust. Trust in AI communication systems is influenced by factors such as transparency, reliability, explainability, privacy, fairness, and accuracy. However, concerns regarding bias, misinformation, data privacy, and lack of explainability can reduce user confidence. This study examines technological, psychological, and social factors affecting trust in AI-based communication systems. The findings reveal that transparency, reliability, privacy protection, and explainability are critical for building long-term user trust. The study concludes that trust is a multidimensional concept involving technical performance, ethical considerations, and user experience, highlighting the need for trustworthy AI systems to support effective and responsible digital communication.
Cultural Adaptation in Virtual and Augmented Reality Environments
Virtual Reality (VR) and Augmented Reality (AR) technologies have transformed digital experiences across education, healthcare, entertainment, tourism, and communication by enabling immersive and interactive environments. As these technologies expand globally, cultural adaptation has become essential for improving user engagement, accessibility, acceptance, and effectiveness. Cultural adaptation involves tailoring VR/AR environments to the languages, values, traditions, social norms, and behaviors of diverse cultural groups. This study examines the influence of cultural adaptation on user perception, interaction, navigation, communication, and emotional responses within immersive environments. It proposes a framework that integrates cultural intelligence, localization strategies, adaptive content generation, and machine learning-based personalization. The framework supports features such as language localization, avatar customization, symbolic representation, context-aware storytelling, and adaptive social interaction models. Experimental results indicate that culturally adaptive VR/AR environments significantly improve immersion, engagement, trust, learning outcomes, user satisfaction, and retention compared to non-adaptive systems. The study also highlights challenges including cultural bias, privacy concerns, scalability issues, and ethical considerations. Overall, the research emphasizes the importance of incorporating cultural intelligence into VR/AR development to create globally inclusive, personalized, and socially responsible extended reality (XR) experiences.
The Evolution of Human Communication through Smart Technologies
Smart technologies such as AI, 5G, IoT, AR/VR, cloud computing, and social media have transformed human communication by making it faster, smarter, and globally connected. These technologies support remote work, digital learning, healthcare, collaboration, and personalized communication through tools like chatbots, virtual assistants, and automated translation. While they improve efficiency and connectivity, challenges such as privacy, cybersecurity, misinformation, and ethical concerns remain. The study concludes that future communication will be driven by AI-powered networks, immersive virtual environments, and intelligent ecosystems, creating more adaptive and personalized communication experiences.
Digital Wellbeing in the Age of Constant Connectivity
Digital technologies, social media, mobile devices, cloud computing, and the internet have transformed how people communicate, work, learn, and live. While these advancements improve connectivity and productivity, they also contribute to challenges such as digital stress, information overload, sleep disturbances, reduced attention spans, and mental health concerns. Digital wellbeing refers to maintaining a healthy, safe, and balanced relationship with technology. This study explores the factors affecting digital wellbeing and proposes a Digital Wellbeing Management Framework (DWMF) that integrates technological, psychological, organizational, and behavioral dimensions. The framework addresses key issues including screen time management, work-life balance, mental health, digital fatigue, online safety, and productivity. The findings indicate that excessive technology use negatively impacts emotional well-being, cognitive performance, and social relationships. The study also highlights the potential of AI, machine learning, and digital behavior analytics to enhance digital wellbeing through personalized interventions and intelligent monitoring. It concludes that achieving sustainable digital wellbeing requires a multidisciplinary approach involving technology governance, digital literacy, behavioral awareness, and human-centered design principles.
Social Media Narratives and Their Impact on Youth Identity Formation
Social media has become a powerful influence on youth identity formation, shaping how young people perceive themselves, society, culture, and belonging. Platforms such as Instagram, TikTok, YouTube, Snapchat, Facebook, and X provide opportunities for self-expression, creativity, and social connection, while also presenting challenges such as social comparison, cyberbullying, misinformation, and identity confusion. This study examines the impact of social media narratives on youth identity development using theories of social identity, narrative identity, symbolic interactionism, and media influence. A mixed-method approach involving surveys, behavioral analytics, sentiment analysis, and narrative classification is proposed to evaluate the relationship between social media engagement and identity outcomes. The findings reveal that social media narratives significantly affect self-esteem, cultural awareness, sense of belonging, and behavioral adaptation. Positive and authentic narratives support healthy identity development, while negative or unrealistic content can harm psychological well-being. The study highlights the importance of digital literacy, community engagement, and responsible platform design in fostering positive identity formation and promoting a healthier digital environment for future generations.
The Impact of Digital Platforms on Civic Engagement and Democracy
Digital platforms have transformed democratic participation by enabling citizens to engage with governments, political institutions, and communities through social media, online forums, e-governance portals, and digital collaboration tools. These technologies enhance political awareness, information access, real-time communication, civic engagement, and large-scale social mobilization. However, they also introduce challenges such as misinformation, algorithmic bias, political polarization, privacy concerns, and unequal access to digital resources. This study examines the impact of digital platforms on civic participation, public discourse, policy engagement, and institutional trust using a mixed-method conceptual approach. The findings indicate that digital technologies significantly improve citizen engagement, government transparency, responsiveness, and opportunities for collective action. At the same time, concerns remain regarding information integrity, democratic polarization, and algorithm-driven influence. To address these challenges, the study proposes a Digital Civic Engagement Framework (DCEF) that integrates technological innovation, democratic governance, digital literacy, and regulatory mechanisms. The framework emphasizes responsible platform governance, algorithmic transparency, citizen empowerment, and collaborative policymaking. The research provides practical insights for policymakers, technology providers, democratic institutions, and civil society organizations seeking to strengthen democratic values and civic participation in the digital age.
The Influence of Artificial Intelligence on Human Creativity and Innovation
Artificial Intelligence (AI) is transforming human creativity and innovation by enabling collaboration between humans and machines. Through technologies such as machine learning, deep learning, natural language processing, and generative AI, systems can create content, generate ideas, support research, and assist decision-making. AI enhances creativity by processing large datasets, identifying patterns, accelerating idea generation, and improving innovation efficiency. However, challenges such as intellectual property concerns, ethical issues, algorithmic bias, and the risk of reduced human creative autonomy remain significant. This study proposes a framework to evaluate AI’s impact on creativity through idea generation, knowledge synthesis, decision support, and innovation acceleration. The findings show that AI significantly improves creative productivity, concept diversity, problem-solving, and collaborative innovation. The study concludes that AI should be viewed as a tool that augments rather than replaces human creativity, with the future of innovation relying on the synergy between human imagination and computational intelligence.
Copyright (c) 2023 International Journal of Innovative Research in Humanities & Technology
Digital Citizenship and Responsible Participation in Online Communities
Digital citizenship has become increasingly important in the digital era as people rely on online platforms for communication, learning, and social interaction. However, challenges such as misinformation, cyberbullying, privacy risks, and unethical online behavior have emerged. Digital citizenship refers to the responsible, ethical, safe, and effective use of digital technologies. This study examines the role of digital literacy, cyber ethics, privacy awareness, and responsible online behavior in promoting positive engagement within online communities. The findings indicate that digital literacy helps individuals identify misinformation, protect personal data, and communicate responsibly, while ethical awareness reduces harmful behaviors such as harassment and hate speech. The study also highlights the importance of awareness programs, community guidelines, and policy enforcement in encouraging responsible digital participation. Educational institutions, organizations, and technology providers play a vital role in fostering digital citizenship through awareness initiatives and supportive policies. Overall, the research emphasizes that digital citizenship is a crucial skill for building trust, inclusivity, and responsible engagement in online communities.
A Study on Upselling and Cross Selling Marketing Strategies in Two-Wheeler Showrooms
The 2-wheeler industry in India constitutes one of the most dynamic and fastest growing industries within the automobile segment, driven by factors like increasing middle class income levels, urbanisation of India, switching to cost-effective mobility options etc. In the competitive scenario of today, the modern Indian two-wheeler showrooms have adopted various contemporary selling strategies like upselling and cross-selling to derive maximum revenues per customer enquiry, while ensuring customer satisfaction. This paper investigates the theoretical context and practice of upselling and cross-selling with regard to the Indian 2-wheeler showroom industry. Using the established marketing theories and frameworks with reference to existing Indian automobile dealerships and empirical Indian research reports in the automobile industry like Tamil Nadu State-based research, this paper examines the impact of these selling techniques on customer behaviour, dealership profitability and customer loyalty in the future. The paper also identifies various challenges encountered by the two-wheeler sales force and recommends a holistic customer-driven framework for the implementation of the selling techniques. It was observed from the research that the techniques carry great revenue potential with McKinsey assigning a 20–30% increase in CLV with the techniques; however, their success is dependent upon timely application, trust levels, competency levels of sales persons, and desired focus of customers.
Multimodal ML Models for Detecting Anti-Patterns in UI/UX Designs
UI/UX design quality plays a critical role in user satisfaction, accessibility, and product success. However, detecting design anti-patterns such as inconsistent visual hierarchy, poor affordance, or misleading navigation remains largely manual, subjective, and error-prone. This paper proposes a multimodal machine learning framework that analyzes visual mockups, interaction flows, and textual design descriptions to automatically identify UI/UX anti-patterns. The system integrates computer vision models, layout-graph encoders, and text language models to detect structural, visual, and semantic inconsistencies across screens. A multimodal fusion model combines these signals to produce a consolidated anti-pattern risk score and label. We evaluate the approach using a curated dataset of annotated UI anti-patterns across mobile and web applications. Experimental results show that multimodal learning significantly outperforms unimodal baselines, especially for patterns requiring contextual or cross-screen reasoning. The findings highlight the potential of unified multimodal ML pipelines in automating UI/UX quality checks and supporting design governance.
Human Values in the Age of Autonomous Technologies
The rapid development of autonomous technologies such as artificial intelligence (AI), machine learning, and robotics has transformed the relationship between humans and machines. While these systems enhance efficiency and productivity, they raise critical concerns about preserving human values in automated decision-making. Key values such as fairness, accountability, transparency, privacy, and dignity are often overlooked, as autonomous systems rely heavily on data-driven algorithms that may embed biases. This misalignment can lead to discrimination, reduced trust, and unintended consequences in sensitive sectors like healthcare, transportation, and criminal justice. Addressing this issue requires integrating human values into system design through an interdisciplinary approach combining computer science, ethics, sociology, and policy studies. The paper highlights challenges such as value ambiguity, contextual differences, and technical limitations in encoding ethics. It proposes a mixed-method approach involving stakeholder analysis, value elicitation, algorithm auditing, and ethical performance evaluation. Findings suggest that systems incorporating multi-stakeholder input and adaptive ethical constraints align better with human values than purely data-driven models. The study emphasizes the importance of regulatory frameworks, transparency, explainable AI, and continuous monitoring to ensure ethical deployment. Ultimately, embedding human values in autonomous systems is a socio-ethical necessity, requiring scalable, context-aware, and culturally sensitive solutions to achieve sustainable technological development.
The Role of Online Forums in Shaping Public Discourse
The advent of digital communication technologies has made the sphere of communication evolve quite rapidly, which is the fundamental aspect of the way people are stimulated to hold the public discourse. Of these technologies, the online forums have become important platforms of deliberation, forming opinions, and information exchange. The paper will discuss how the online forums shape the discourse of the people based on their structure, social, and algorithmic dynamics. The online forums are different and decentralized as well as participatory in nature in contrast to the traditional media because users have possession and influence to the discourse, in political, social and cultural spheres. This paper explores the benefits of online forums in facilitating the democratization of communication, and at the same time, it presents the issue of misinformation, echo-chamber communication, and polarization. Combining qualitative content analysis and quantitative indicators of engagement allows the study to assess the degree of impact forums have on the formation of an opinion and decision-making process by the population. The methodology will entail sampling data where various platforms (general discussion forums, niche communities and moderated bodies of knowledge sharing) can be sampled. It has been found out that online forums can play a very substantial role in discourse, increasing the voices of varying levels, allowing live responses, and constructing knowledge on a community basis. Nevertheless, due to the lack of rigid moderation and the effects of algorithmic visibility in general, the selected discourse patterns tend to be biased. Another aspect that has been brought out in the study is the role of anonymity in enhancing participation as well as diminishing accountability, which in turn influences the quality of discussions. Moreover, the study presents a conceptual model whereby the architecture of the forum, the behavior of the users and the outcomes of the discourse are correlated. The findings indicate that though online discussions lead to strengthening democracy, they require better governance systems that facilitate beneficial participation. On the concluding part of the paper the author gives recommendations on what platform designers, policymakers, and researchers should ensure to maximize the utility of online forums in terms of creating informed and inclusive public discourse.
Privacy‑Preserving Behavioral Biometrics for Seamless Banking UX
As digital banking becomes the norm, the demand for authentication mechanisms that are both secure and seamless is growing. Behavioral biometrics—such as typing patterns, mouse dynamics, and gesture recognition—offer a passive and continuous method of user authentication without disrupting the user experience. However, these biometrics raise significant privacy concerns due to their sensitivity and the potential for misuse. This paper explores the integration of privacy-preserving techniques with behavioral biometric systems to enable secure, transparent, and user-friendly banking experiences. We analyze various privacy-preserving technologies, propose an architecture tailored for financial applications, and discuss the trade-offs between usability, accuracy, and privacy. Our findings show that with careful design, behavioral biometrics can enhance banking UX while adhering to modern privacy standards.
The Effects of EdTech Innovations on Rural Education
Educational Technology (EdTech) has been developing at a high pace, and the novel paradigms of teaching and learning have impacted the world well and thoroughly. Where urban areas have easily adopted them, rural systems of education, usually limited by insufficient infrastructure, of insufficient number of teachers and socio-economic inequalities offer a special place to assess the efficiency of EdTech solutions. The paper examines how EdTech innovations could affect rural education, including the aspects of accessibility, learning outcomes, engagement, and inclusivity. Such innovations as mobile learning platforms, digital classes, tutoring systems based on artificial intelligence, and educational materials stored in clouds have become potent allies in eliminating educational gaps. These technologies can provide scalable and affordable alternatives in rural locations where there are logistical difficulties when using traditional systems of education. The paper will discuss the benefits of such innovations in providing quality education, especially in geographically remote areas. The mixed-method research strategy is used, employing both quantitative and qualitative information on the basis of the studies of the rural schools, teaching staff and students. The KPIs that the study considers to assess the effectiveness of EdTech solutions are the retention rates by students, their academic performance, the level of their digital literacy, as well as the teacher effectiveness before and after adopting EdTech solutions. Moreover, it examines issues like digital divide, infrastructure deficiencies, technological resistance and policy restrictions. The results produced show that EdTech plays an important role in improving student engagement, increasing personalized learning, and boosting teacher productivity. Nevertheless, availability of infrastructure, digital literacy, and government support are very crucial in the success of the innovations. The paper also shows how mobile technologies with low cost and offline learning resources have contributed to beating connectivity challenges. The paper will also add to the prevailing literature as it will present an in-depth assessment of the role of EdTech in rural education. It also presents realistic solutions to the policy maker, educators, and technologists that can make the application fair and sustainable. Finally, the research focuses on highlighting that though EdTech is not the panacea, it is an essential facilitator of rural education system transformation into inclusive, flexible, and future-oriented ecosystems.
Copyright (c) 2022 International Journal of Innovative Research in Humanities & Technology
Integrating Blockchain, AI, and UX for Transparent Cloud Financial Reporting
The rapid adoption of cloud services has introduced new complexities in financial reporting, demanding enhanced transparency, accuracy, and user trust. This paper explores the integration of blockchain technology, artificial intelligence (AI), and user experience (UX) design to address these challenges in cloud financial reporting. Blockchain ensures immutable and auditable transaction records, fostering transparency and trust among stakeholders. AI enhances the processing, analysis, and interpretation of vast financial data through anomaly detection, predictive analytics, and automated report generation. Meanwhile, UX principles improve accessibility and comprehension, enabling diverse users to interact with financial reports effectively. We propose a comprehensive framework that synergizes these technologies to deliver transparent, secure, and user-centric cloud financial reporting. The paper discusses architectural design, implementation considerations, and potential benefits, aiming to guide future research and practical applications in this evolving domain.
A Study on Cyberbullying Patterns among Young Adults
Cyberbullying has become a serious social and psychological issue in the digital age, especially among young adults who активно use social media and online platforms. While digital technologies improve communication and connectivity, they have also led to harmful behaviors such as online harassment, threats, and humiliation.This study examines the trends, causes, and effects of cyberbullying among individuals aged 18–25 using a mixed-method approach, combining surveys and behavioral analysis. It identifies common forms of cyberbullying, including abusive messages, spreading rumors, social exclusion, impersonation, and public humiliation, with social media as the main platform.The findings show that cyberbullying negatively impacts mental health, causing stress, anxiety, low self-esteem, and social withdrawal. Factors like anonymity and peer pressure play a key role in encouraging such behavior.The study concludes that effective solutions require digital awareness, stronger institutional policies, and technological interventions. A collaborative effort among individuals, communities, and policymakers is essential to promote responsible online behavior and ensure safer digital spaces.