Abstract Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the twenty-first century, influencing sectors such as healthcare, education, finance, governance, transportation, and communication. While AI offers unprecedented opportunities for innovation, productivity, and efficiency, it also presents serious ethical and legal concerns that challenge existing social, institutional, and regulatory frameworks. This research paper examines the ethical and legal implications associated with the development and deployment of AI technologies. The study explores key ethical issues including algorithmic bias, privacy invasion, lack of transparency, accountability, job displacement, and the misuse of autonomous systems. It also investigates legal challenges related to data protection, intellectual property rights, liability, cybersecurity, discrimination laws, and regulatory governance. The paper highlights the growing need for responsible AI practices that prioritize fairness, transparency, inclusivity, and human rights.
Renu Vijay Verma· Zenodo (CERN European Organi...· 0 citations
Abstract Artificial Intelligence (AI) has significantly transformed recruitment and employee selection by improving the efficiency, accuracy and transparency of hiring processes in IT organizations. This study examines the impact of Artificial Intelligence Driven Recruitment and Employee Selection in IT Companies in Chennai. A quantitative research design was adopted and simulated data from 175 respondents were analysed using descriptive statistics, reliability analysis, correlation and multiple regression techniques through SPSS. The simulated results indicate that AI-driven recruitment positively influences recruitment efficiency, candidate experience and the quality of employee selection. The regression analysis revealed that AI-driven recruitment and employee selection explained 71.5% (R² = 0.715) of the variation in recruitment effectiveness, with all proposed hypotheses supported in the simulated analysis. The findings suggest that AI-based recruitment systems enable organizations to reduce hiring time, improve decision-making, minimize recruitment bias and enhance overall talent acquisition. The study highlights the importance of integrating AI technologies into HR practices to strengthen recruitment outcomes in Chennai's IT sector. The data and findings presented are simulated solely for academic demonstration and methodological illustration.
G. Raja Priya, L. Veronica Christy· Zenodo (CERN European Organi...· 0 citations
Abstract The integration of Artificial Intelligence (AI) into marketing is transforming the way organisations understand customer preferences, predict buying behaviour and design personalised marketing strategies. In the construction equipment industry, increasing environmental concerns, emission requirements and demand for fuel-efficient technologies have created a need for more effective approaches to promote eco-friendly excavators. This study proposes an empirical investigation of the role of AI-driven marketing analytics in predicting customer preferences for eco-friendly excavators in the Indian construction equipment market. Drawing upon the Theory of Planned Behavior (TPB) and the Antecedents-Decisions-Outcomes (ADO) framework, the study examines the influence of AI-enabled personalisation, predictive analytics, environmental awareness and perceived usefulness of AI-based recommendations on customer preference for eco-friendly excavators. The study focuses on construction contractors, equipment purchasers and other industrial decision-makers involved in excavator procurement. A structured questionnaire using a five-point Likert scale is proposed for primary data collection. Descriptive statistics, reliability analysis, correlation and regression analysis can be employed to examine the proposed relationships. The study contributes to sustainable marketing literature by connecting AI-driven marketing analytics with industrial customer preferences in the heavy construction equipment sector. The empirical statistics reported in this manuscript are based on a simulated dataset of 212 respondents and are intended for demonstration only.
Pritam Bhambure, Nilesh Bankar· Zenodo (CERN European Organi...· 0 citations
Abstract Artificial Intelligence (AI) has emerged as a transformative technology driving digital innovation across healthcare, finance, education, manufacturing, transportation, and smart cities. However, the rapid advancement of deep learning, foundation models, and generative AI has substantially increased the computational demands placed on modern data centers. The growing dependence on Graphics Processing Units (GPUs), high-performance computing clusters, and cloud-based infrastructures has resulted in extreme electricity consumption, increased greenhouse gas emissions, intensive water usage for cooling, and higher operational costs. These environmental challenges have made sustainability a critical consideration in the future development of AI systems. Sustainable Artificial Intelligence (Sustainable AI) and Green Data Centers have emerged as complementary approaches for reducing the environmental footprint of AI while maintaining computational efficiency and service quality. Sustainable AI focuses on developing computationally efficient algorithms, optimizing model architectures, and minimizing energy consumption throughout the AI lifecycle. Green Data Centers support these objectives by integrating energy-efficient hardware, renewable energy sources, intelligent cooling technologies, virtualization, carbon-aware workload scheduling, and AI-driven resource management. Together, these approaches enable environmentally responsible digital transformation by reducing carbon emissions, improving energy efficiency, and enhancing resource utilization. This paper presents a comprehensive review of Sustainable Artificial Intelligence and Green Data Centers, examining recent technological advancements, sustainability challenges, industry practices, and emerging research trends. It proposes an integrated conceptual framework that combines Green AI techniques with sustainable data center infrastructure to achieve environmentally responsible AI deployment. The paper also discusses key performance indicators, including Power Usage Effectiveness (PUE), Carbon Usage Effectiveness (CUE), Water Usage Effectiveness (WUE), and renewable energy utilization, for evaluating sustainable AI infrastructures. Finally, future research directions are identified to support the development of carbon-neutral AI ecosystems aligned with the United Nations Sustainable Development Goals (SDGs).
Disha Roshan Bhakta· Zenodo (CERN European Organi...· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
Abstract The integration of Artificial Intelligence (AI) into the Indian judiciary represents a paradigm shift toward modernizing legal administration, enhancing processing efficiencies, and addressing massive case backlogs that have historically strained the justice delivery system. India's judiciary, burdened by one of the largest case pendency figures in the world, has increasingly turned toward digital and computational tools to reduce procedural delay without compromising the constitutional guarantees owed to litigants. This comprehensive research article evaluates operational deployments, administrative obstacles, and Supreme Court directives governing AI usage under the e-Courts framework. It examines the operational boundaries established by the Supreme Court White Paper, the active AI assistive ecosystem (including SUVAS, SUPACE, and LegRAA), legal integrity and professional accountability concerning generative AI hallucinations, and structural process engineering integrated under Phase-III. The study further situates these developments within a constitutional and comparative framework, arguing that India's cautious, human-centred model of AI adoption offers a template that other developing judiciaries may study as they confront similar backlogs, resource constraints, and linguistic diversity. The paper concludes that sustained capacity building, rigorous ethical audits, and close collaboration between the legal profession and technologists will determine whether AI ultimately strengthens, rather than erodes, public confidence in the administration of justice.
Rajwant Singh Kadamb· Zenodo (CERN European Organi...· 0 citations
The rapid expansion of digital technologies has transformed the collection, processing, and sharing of personal data, creating unprecedented opportunities for innovation while raising serious concerns regarding privacy, cybersecurity, and government surveillance. As cyber threats, terrorism, and cross-border data flows continue to increase, governments have strengthened surveillance mechanisms to protect national security. However, these measures often create tensions with the fundamental right to privacy, making it essential to establish an appropriate legal balance between individual freedoms and collective security. This review paper critically examines the evolving relationship between privacy and national security through an analysis of contemporary data protection laws and international legal frameworks. Adopting a doctrinal and qualitative review methodology, the study analyses secondary sources, including legislation, judicial decisions, policy documents, and scholarly literature. The paper comparatively evaluates major legal frameworks, including the European Union's General Data Protection Regulation (GDPR), India's Digital Personal Data Protection Act, 2023, the United States' sector-specific privacy model, and the United Kingdom's data protection regime. The review highlights the strengths and limitations of these legal systems in addressing surveillance, government access to personal data, and individual privacy rights. It further identifies emerging challenges arising from artificial intelligence, biometric surveillance, cross-border data transfers, and digital governance. The study concludes that neither privacy nor national security should be treated as absolute rights; instead, both must be harmonized through transparent legislation, proportional restrictions, judicial oversight, and institutional accountability. A balanced, rights-based legal framework supported by international cooperation and adaptive regulatory mechanisms is essential for protecting individual liberties while enabling governments to respond effectively to evolving security threats in the digital era.
Yogarajsingh R. Bais· Zenodo (CERN European Organi...· 0 citations
India’s entertainment economy increasingly depends upon digital circulation, platform licensing and data-driven distribution. Music is consumed through streaming services, films move rapidly from theatres to online platforms, and over-the-top services commission, acquire and exploit content across multiple territories. These developments have expanded audiences and created new markets, but they have also exposed structural weaknesses in the protection and administration of intellectual property rights. This article examines emerging copyright and related-rights issues affecting music, cinema and OTT platforms in India. It adopts a doctrinal and analytical method, relying on the Copyright Act, 1957, the Copyright (Amendment) Act, 2012, the Information Technology Act, 2000, the Cinematograph Act, 1952 as amended in 2023, relevant rules, international instruments and judicial decisions. The article argues that the principal difficulty is not the absence of rights, but the fragmentation of ownership, licensing and enforcement. A single song or film may contain separate rights in lyrics, composition, sound recording, screenplay, performance, artwork and the audiovisual work itself. Digital exploitation further divides these rights by territory, language, duration, device, subscription model and mode of communication. Disputes therefore arise over royalty sharing, statutory licensing, online streaming, platform liability, piracy, synthetic performances, voice cloning and the commercial use of celebrity identity. Indian courts have responded through intermediary-liability principles, dynamic injunctions and personality-rights remedies, yet the legal position remains uneven in relation to generative artificial intelligence, transparent royalty accounting and cross-platform licensing. The article recommends clearer digital licensing standards, auditable royalty systems, stronger collective management, proportionate notice-and-action procedures, technologically informed anti-piracy remedies and a consent-based framework for artificial intelligence uses of voice, likeness and performance. A coherent approach must protect creators and performers without imposing indiscriminate liability on legitimate intermediaries. Such balance is necessary to sustain cultural production, promote lawful digital markets and preserve public access to diverse entertainment in India.
Madhuri V. Sarwade· Zenodo (CERN European Organi...· 0 citations
The rapid expansion of digital technologies has transformed the collection, processing, and sharing of personal data, creating unprecedented opportunities for innovation while raising serious concerns regarding privacy, cybersecurity, and government surveillance. As cyber threats, terrorism, and cross-border data flows continue to increase, governments have strengthened surveillance mechanisms to protect national security. However, these measures often create tensions with the fundamental right to privacy, making it essential to establish an appropriate legal balance between individual freedoms and collective security. This review paper critically examines the evolving relationship between privacy and national security through an analysis of contemporary data protection laws and international legal frameworks. Adopting a doctrinal and qualitative review methodology, the study analyses secondary sources, including legislation, judicial decisions, policy documents, and scholarly literature. The paper comparatively evaluates major legal frameworks, including the European Union's General Data Protection Regulation (GDPR), India's Digital Personal Data Protection Act, 2023, the United States' sector-specific privacy model, and the United Kingdom's data protection regime. The review highlights the strengths and limitations of these legal systems in addressing surveillance, government access to personal data, and individual privacy rights. It further identifies emerging challenges arising from artificial intelligence, biometric surveillance, cross-border data transfers, and digital governance. The study concludes that neither privacy nor national security should be treated as absolute rights; instead, both must be harmonized through transparent legislation, proportional restrictions, judicial oversight, and institutional accountability. A balanced, rights-based legal framework supported by international cooperation and adaptive regulatory mechanisms is essential for protecting individual liberties while enabling governments to respond effectively to evolving security threats in the digital era.
Yogarajsingh R. Bais· Zenodo (CERN European Organi...· 0 citations
India’s entertainment economy increasingly depends upon digital circulation, platform licensing and data-driven distribution. Music is consumed through streaming services, films move rapidly from theatres to online platforms, and over-the-top services commission, acquire and exploit content across multiple territories. These developments have expanded audiences and created new markets, but they have also exposed structural weaknesses in the protection and administration of intellectual property rights. This article examines emerging copyright and related-rights issues affecting music, cinema and OTT platforms in India. It adopts a doctrinal and analytical method, relying on the Copyright Act, 1957, the Copyright (Amendment) Act, 2012, the Information Technology Act, 2000, the Cinematograph Act, 1952 as amended in 2023, relevant rules, international instruments and judicial decisions. The article argues that the principal difficulty is not the absence of rights, but the fragmentation of ownership, licensing and enforcement. A single song or film may contain separate rights in lyrics, composition, sound recording, screenplay, performance, artwork and the audiovisual work itself. Digital exploitation further divides these rights by territory, language, duration, device, subscription model and mode of communication. Disputes therefore arise over royalty sharing, statutory licensing, online streaming, platform liability, piracy, synthetic performances, voice cloning and the commercial use of celebrity identity. Indian courts have responded through intermediary-liability principles, dynamic injunctions and personality-rights remedies, yet the legal position remains uneven in relation to generative artificial intelligence, transparent royalty accounting and cross-platform licensing. The article recommends clearer digital licensing standards, auditable royalty systems, stronger collective management, proportionate notice-and-action procedures, technologically informed anti-piracy remedies and a consent-based framework for artificial intelligence uses of voice, likeness and performance. A coherent approach must protect creators and performers without imposing indiscriminate liability on legitimate intermediaries. Such balance is necessary to sustain cultural production, promote lawful digital markets and preserve public access to diverse entertainment in India.
Madhuri V. Sarwade· Zenodo (CERN European Organi...· 0 citations
India’s entertainment economy increasingly depends upon digital circulation, platform licensing and data-driven distribution. Music is consumed through streaming services, films move rapidly from theatres to online platforms, and over-the-top services commission, acquire and exploit content across multiple territories. These developments have expanded audiences and created new markets, but they have also exposed structural weaknesses in the protection and administration of intellectual property rights. This article examines emerging copyright and related-rights issues affecting music, cinema and OTT platforms in India. It adopts a doctrinal and analytical method, relying on the Copyright Act, 1957, the Copyright (Amendment) Act, 2012, the Information Technology Act, 2000, the Cinematograph Act, 1952 as amended in 2023, relevant rules, international instruments and judicial decisions. The article argues that the principal difficulty is not the absence of rights, but the fragmentation of ownership, licensing and enforcement. A single song or film may contain separate rights in lyrics, composition, sound recording, screenplay, performance, artwork and the audiovisual work itself. Digital exploitation further divides these rights by territory, language, duration, device, subscription model and mode of communication. Disputes therefore arise over royalty sharing, statutory licensing, online streaming, platform liability, piracy, synthetic performances, voice cloning and the commercial use of celebrity identity. Indian courts have responded through intermediary-liability principles, dynamic injunctions and personality-rights remedies, yet the legal position remains uneven in relation to generative artificial intelligence, transparent royalty accounting and cross-platform licensing. The article recommends clearer digital licensing standards, auditable royalty systems, stronger collective management, proportionate notice-and-action procedures, technologically informed anti-piracy remedies and a consent-based framework for artificial intelligence uses of voice, likeness and performance. A coherent approach must protect creators and performers without imposing indiscriminate liability on legitimate intermediaries. Such balance is necessary to sustain cultural production, promote lawful digital markets and preserve public access to diverse entertainment in India.
Madhuri V. Sarwade· Zenodo (CERN European Organi...· 0 citations
India’s entertainment economy increasingly depends upon digital circulation, platform licensing and data-driven distribution. Music is consumed through streaming services, films move rapidly from theatres to online platforms, and over-the-top services commission, acquire and exploit content across multiple territories. These developments have expanded audiences and created new markets, but they have also exposed structural weaknesses in the protection and administration of intellectual property rights. This article examines emerging copyright and related-rights issues affecting music, cinema and OTT platforms in India. It adopts a doctrinal and analytical method, relying on the Copyright Act, 1957, the Copyright (Amendment) Act, 2012, the Information Technology Act, 2000, the Cinematograph Act, 1952 as amended in 2023, relevant rules, international instruments and judicial decisions. The article argues that the principal difficulty is not the absence of rights, but the fragmentation of ownership, licensing and enforcement. A single song or film may contain separate rights in lyrics, composition, sound recording, screenplay, performance, artwork and the audiovisual work itself. Digital exploitation further divides these rights by territory, language, duration, device, subscription model and mode of communication. Disputes therefore arise over royalty sharing, statutory licensing, online streaming, platform liability, piracy, synthetic performances, voice cloning and the commercial use of celebrity identity. Indian courts have responded through intermediary-liability principles, dynamic injunctions and personality-rights remedies, yet the legal position remains uneven in relation to generative artificial intelligence, transparent royalty accounting and cross-platform licensing. The article recommends clearer digital licensing standards, auditable royalty systems, stronger collective management, proportionate notice-and-action procedures, technologically informed anti-piracy remedies and a consent-based framework for artificial intelligence uses of voice, likeness and performance. A coherent approach must protect creators and performers without imposing indiscriminate liability on legitimate intermediaries. Such balance is necessary to sustain cultural production, promote lawful digital markets and preserve public access to diverse entertainment in India.
Madhuri V. Sarwade· Zenodo (CERN European Organi...· 0 citations
The marine sector is vital to international trade, and the dependability of cargo ships is necessary to maintain continuous logistics operations. Conventional maintenance methods frequently lead to unforeseen equipment malfunctions, higher operating expenses, and cargo delivery delays. As a result, predictive maintenance based on artificial intelligence (AI) has become a cutting-edge technology that permits early fault identification, real-time monitoring, and optimal maintenance scheduling. The current study, "Predictive Maintenance of Cargo Vessels Using AI: Implications for Logistics Reliability," looks at how AI-based predictive maintenance affects logistics reliability while assessing the impact of operational performance and repair difficulties. The study used a quantitative research approach, and a structured questionnaire with a five-point Likert scale was used to gather primary data from 100 respondents. Respondents with experience in predictive maintenance and cargo vessel operations were chosen using a convenience sample technique. Descriptive statistics, skewness and kurtosis analysis, Cronbach's alpha reliability analysis, correlation analysis, regression analysis, mediation analysis, and structural equation modelling (SEM) were all used in the analysis of the gathered data using R programming. The results showed that all variables had adequate normality, the measuring tool had good to exceptional reliability, and artificial intelligence had a strong positive correlation with logistical reliability. By enhancing operational performance and resolving maintenance issues, AI-based predictive maintenance has a favourable direct and indirect impact on logistics dependability, according to regression and mediation analyses. In order to increase maintenance efficiency, decrease unplanned vessel downtime, and boost logistical reliability, the report recommends that shipping companies invest in AI-driven predictive maintenance solutions, IoT-enabled sensors, worker training, and strong digital infrastructure. The study concludes that AI-enabled predictive maintenance is a successful tactic for boosting operational effectiveness, guaranteeing on-time cargo delivery, cutting maintenance costs, and enhancing the competitiveness and sustainability of the maritime logistics sector.
M. A. Shakila Banu, Pazila Sara. R. S, A.S. Minhaj Begum· Zenodo (CERN European Organi...· 0 citations
