This study critically examines how Artificial Intelligence for Social Responsibility (AI for SR) is enacted within Thai education, using this Global South context to expose the universal dynamics of educational marketization. Drawing on Freire’...
Artificial intelligence (AI), especially generative AI, is becoming deeply embedded in healthcare, making doctor–AI collaborative diagnosis a common mode of medical decision-making. This development raises a critical question about responsibili...
Artificial Intelligence (AI) and Generative AI are transformative yet double-edged technologies with evolving risks. While research emphasises trustworthy, fair, and responsible AI by focusing on its “what” and “why,” it overl...
Risk management driven by AI has the potential to play an important role in sustainable decision-making by offering predictive insights and scenario modeling capabilities. This proactive approach empowers top management to align informed decisions in...
Background/Objectives: Artificial intelligence (AI) is increasingly embedded in clinical reasoning, documentation, prediction, communication, and delegated digital and physical action via agentic and embodied systems. The central ethical challenge is...
Background: Artificial intelligence (AI) is transforming medical practice, enhancing diagnostic accuracy, personalisation, and clinical efficiency. However, this transition raises complex ethical challenges related to transparency, accountability, fa...
Background/Objectives: Large language models (LLMs) such as ChatGPT are rapidly being integrated into healthcare for tasks ranging from clinical documentation to diagnostic support. Current ethical discussions focus predominantly on bias, privacy, an...
This research explores the integration of artificial intelligence (AI) and the Internet of Things (IoT) within corporate social responsibility (CSR) strategies, focusing on financial risk management and sustainable development. Employing a novel Coev...
Artificial intelligence (AI) is reshaping organizational decision-making, managerial roles, and accountability, yet responsible AI governance remains dominated by principles, technical controls, and regulatory compliance. This conceptual paper develo...
The rapid advancement of artificial intelligence (AI) technologies has transformed various sectors, significantly enhancing processes and augmenting human capabilities. However, these advancements have also introduced critical concerns related to the...
This article examines ethical implications of the growing AI carbon footprint, focusing on the fair distribution of prospective responsibilities among groups of involved actors. First, major groups of involved actors are identified, including AI scie...
The application of Artificial Intelligence (AI) facilitates medical activities by automating routine tasks for healthcare professionals. AI augments but does not replace human decision-making, thus complicating the process of addressing legal respons...
The increasing adoption of artificial intelligence (AI) in financial institutions has transformed workplace practices, making it essential to understand how responsible AI influences employee outcomes. Drawing on Social Exchange Theory, this study ex...
Artificial intelligence (AI) is increasingly embedded in organisational decision-making, creating opportunities for innovation and sustainability while intensifying concerns about accountability, transparency, stakeholder responsibility and human ove...
Generative artificial intelligence (GenAI) is rapidly transforming teaching, learning, research, and institutional practices in higher education, increasing the need to understand how university professionals engage with AI technologies in both funct...
In this paper, we propose a set of best practices for the responsible adoption of Generative Artificial Intelligence (AI) in higher education. These best practices provide a comprehensive framework for higher education institutions to effectively and...
24 February 2021
The urbanization problems we face may be alleviated using innovative digital technology. However, employing these technologies entails the risk of creating new urban problems and/or intensifying the old ones instead of alleviating them. Hence, in a w...
As AI systems increasingly structure educational processes, they shape not only what is learned, but also how epistemic authority is distributed and whose knowledge is recognized. This article explores the normative and technopolitical implications o...
Generative Artificial Intelligence (GenAI) systems have introduced new classes of security incidents that traditional response frameworks were not designed to manage, ranging from model manipulation and data exfiltration to misinformation cascades an...
The accelerating integration of artificial intelligence (AI) into cybersecurity operations has introduced new challenges and opportunities for modernizing incident response (IR) practices. This study explores how cybersecurity practitioners perceive...
4 April 2025
This paper discusses the responsible use of artificial intelligence (AI) in public health and in medicine, and questions the development of AI ethics in international guidelines from a public health perspective. How can a global ethics approach help...
Agentic artificial intelligence (AI) is a consequential technological frontier in banking because it shifts AI from passive assistance and generative interaction toward goal-directed workflow execution. Responsible and sustainable banking transformat...
The complexity and magnitude of airspace operations are ever increasing, which creates new challenges for air traffic controllers. With the increase in the volume of operations, the size of available data is also increasing. Data-driven AI solutions...
Poor diet is the leading preventable risk factor for death worldwide, associated with over 10 million premature deaths and USD 8 trillion related costs every year. Artificial intelligence or AI is rapidly emerging as the most historically disruptive,...
Generative AI tools are spreading rapidly through higher education, yet relationships among students’ perceived familiarity with GenAI, self-reported use, support needs, and critical–responsible orientation remain insufficiently understoo...
In diverse classrooms, one of the challenges educators face is creating assessments that reflect the different cultural backgrounds of every student. This study presents a novel approach to the automatic generation of cultural and context-specific sc...
11 February 2025
As AI becomes increasingly embedded in the sharing economy, understanding its impact on consumer behavior is crucial. This research aims to examine how different human–AI relationship types—equal vs. human-dominant—influence respons...
Generative artificial intelligence (GenAI) has diffused through higher education faster than institutions have been able to govern it, reshaping the conditions under which universities produce knowledge, judgement, credentials, and public trust. Curr...
This paper proposes a technological framework designed to mitigate the inherent risks associated with the deployment of artificial intelligence (AI) in decision-making and task execution within the management processes. The Agreement Validation Inter...
The continuous fusion of artificial intelligence (AI) and autonomous farming machinery (e.g., drones and field robots) provides a significant shift in the daily work experience of farmers. Faced with new technological developments, many risks and opp...
Advanced technology systems and neuroelectronics for crash risk assessment and anticipation may be a promising field for advancing responsible automated driving on urban roads. In principle, there are prospects of an artificially intelligent (AI)-pow...
8 May 2026
The extensive implementation of AI-driven chatbots in e-commerce has generated both acceptance and objection; however, previous studies have predominantly analyzed these responses separately. This study examines the mechanisms that drive dual custome...
Generative artificial intelligence (GenAI) can expand analytical support but may encourage premature acceptance and insufficient verification. This article presents a multilevel, multimethod dataset generated during a five-week study within ten-week...
Background: Artificial intelligence (AI) is transitioning from experimental pilots to core public health functions such as disease surveillance, resource planning, and analysis of social and structural determinants of health. Yet, health data collect...
The utilization of Generative AI (GenAI) in higher education classrooms has significantly increased in recent years. Studies show that GenAI holds promise in impacting the learning experiences of both students and teachers, offering personalized lear...
Background: Artificial intelligence (AI) systems, including large language models, are increasingly used in clinical practice, whether consulted informally by clinicians or introduced by employers into decision workflows. It remains unclear how physi...
Responsible generative artificial intelligence (GenAI) integration in higher education requires attention to useful assistance and students’ continuing cognitive agency. We examined how learner capability, cognitive offloading and institutional...
The rapid adoption of generative artificial intelligence tools, particularly ChatGPT, is transforming teaching and learning in higher education. This study proposes an explainable artificial intelligence (XAI) framework that integrates the Unified Th...
Generative artificial intelligence (GenAI) is reshaping higher education, yet its educational value, governance, inclusion and responsible implementation remain contested. This structured integrative literature review used a PRISMA-informed search an...
Generative Artificial Intelligence (GenAI) is transforming higher education in terms of pedagogy, student involvement, and academic management. This systematic literature review examines 30 peer-reviewed articles published from 2019 to 2025, adhering...
This study focuses on the development and evaluation of an AI-based digital therapeutic prototype for adolescent mental health management and disaster response. The system integrates real-time monitoring, AI-driven conversation analysis, personalized...
This study, conducted at Complutense Intermedia-Lab, employs a dual approach to explore university students’ use of Generative AI (GenAI), combining a survey with foresight methodologies (Sci-fi prototyping). The initial survey gathers baseline...
This paper addresses a critical gap in both the HRM and AI governance literature by systematically reviewing the literature on human-centered AI design and developing a framework specifically tailored to the Omani context. Following the PRISMA 2020 g...
Autonomous artificial intelligence (AI) systems increasingly participate in decision-making processes that affect individuals, markets, and public administration. Their growing autonomy complicates the attribution of legal responsibility, particularl...
Artificial intelligence (AI) has transformed digital marketing in so many ways because it enables intelligent, personalized, and data-driven customer experiences. Nonetheless, current research remains fragmented, mostly because it emphasizes the dire...
Industry 5.0 and Society 5.0 call for a shift in AI and robotics development from a primary focus on automation and technical sophistication to holistic solutions that address human needs, social contexts, stakeholder perspectives, and broader societ...
16 September 2026
This study examines whether emotional bonds are essential for AI chatbots to influence consumers’ purchase intentions within online travel agencies. Utilizing the stimulus–organism–response (S-O-R) framework, this study analyzes how...
17 September 2026
University students’ adoption of generative artificial intelligence has become nearly universal, yet institutional guidance has not kept pace, leaving responsible use dependent on students’ own self-regulation. Drawing on social cognitive...
Objectives: Alzheimer’s disease (AD) remains one of the most prevalent neurodegenerative conditions among older adults, underscoring the urgent need for accurate and ethically grounded early detection methods. Artificial intelligence (AI) techn...
In the face of severe impacts on agricultural supply chains caused by ecological degradation and environmental turbulence, leveraging green supply chain integration practices to build supply chain resilience has become pivotal in agribusiness managem...
of 99