The aim of this paper is to find how much AI can be useful or as an aid in developing listening skill. A review has been made to past studies as well as the recent developments and innovations made by linguists and teaching community, yielding relevant observations. The present writing is an attempt at exhibiting how much the latest technology is effective which has been tailor-made to suit determined purpose directed at developing the listening skills of EFL learners. It is (...) well established being significant and continues to gain importance in serving needs of education, sparking interest among students and teachers, the latter for innovating delivery of lessons. Teaching EFL college level students uses English as the medium of instruction for language teaching subjects. It is, however, noticed that difficulties crop up at school, where the students use native language for learning syllabi-related subjects, and where it is noticed that there is low comprehension capacity in the learners that needs to be pushed up to learn second language with success. The present research effort has brought to light the difficulties experienced by students in English learning as they struggle to reach a reasonable level of learning with success. This is despite there being other materials to use where old/traditional system is otherwise thought adequate. Modern approaches were brought into use by which AI-powered tools have removed difficulties they used to experience learning the traditional way resorting to written prescribed books; they experienced that books were monotonous and boring. The researchers made quite a few studies in different educational institutions and recognized the ability of AI aided media to make listening skill learning and teaching of English interesting and easy. AI has enabled educators to develop material and make it user-friendly and student-oriented for facilitating language learning easy. Language Listening builds enhanced capacity enabling EFL students to hear sounds of words of English using AI-aided tools. The present paper has discovered the utility of modern virtual tools as significant in facilitating learners’ success in developed listening skill. Tools which are created using AI have proved very help as they extend tremendous help in increasing and developing practical listening skills of not only the teachers but also, and primarily, the EFL students. (shrink)

Ensuring public safety is a critical challenge for rapidly growing urban areas. Traditional policing and emergency response systems often struggle to keep pace with the complexity and scale of modern cities. Artificial Intelligence (AI) offers a transformative solution by enabling real-time crime prediction, optimizing emergency resource allocation, and enhancing situational awareness through IoT-enabled systems. This paper explores how AI-driven analytics, combined with data from surveillance cameras, social media, and environmental sensors, can improve public safety in smart cities. By addressing (...) challenges such as data privacy, algorithmic bias, and system scalability, this study demonstrates the potential of AI to create safer, more resilient urban environments. Experimental results highlight improvements in crime detection rates, emergency response times, and resource utilization, paving the way for smarter public safety systems. (shrink)

Urban green spaces are vital for mitigating climate change, enhancing biodiversity, and improving citizen well-being. However, traditional methods of designing and managing these spaces often lack the precision and scalability needed to address modern urban challenges. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban green spaces in smart cities. By integrating satellite imagery, soil sensors, and machine learning models, cities can dynamically monitor plant health, predict ecological impacts, and design green zones that maximize biodiversity and (...) sustainability. Experimental results demonstrate improvements in air quality, heat island reduction, and community engagement, offering a blueprint for AI-driven ecological urban planning. (shrink)

Artificial intelligence (AI) profoundly influences a number of societal structures today, including religious dynamics. Using Bernard Lonergan’s critical realism as a lens, this article investigates the intersections of AI and religious traditions in their shared pursuit of the common good. Beginning with Lonergan’s principle that humans construct their understanding through cognitive processes, we examine how AI-mediated realities align with or challenge traditional religious tenets. By delving into specific cases, we spotlight AI’s role in reshaping religious symbols, rituals, and even creating (...) novel spiritual meanings. Using Lonergan’s insights on the balance between subjectivity and objectivity, I analyze AI’s potential to both create new sacred spaces and challenge religious orthodoxy. The crux of the discussion centers on the negotiation between religious values and technological innovation, assessing how AI can bolster religious life while maintaining its core essence. Ultimately, this article underscores the importance of the common good in the age of AI-driven religious evolution. (shrink)

This paper explores the important role of critical science, and in particular of post-colonial and decolonial theories, in understanding and shaping the ongoing advances in artificial intelligence. Artificial intelligence is viewed as amongst the technological advances that will reshape modern societies and their relations. While the design and deployment of systems that continually adapt holds the promise of far-reaching positive change, they simultaneously pose significant risks, especially to already vulnerable peoples. Values and power are central to this discussion. Decolonial theories (...) use historical hindsight to explain patterns of power that shape our intellectual, political, economic, and social world. By embedding a decolonial critical approach within its technical practice, AI communities can develop foresight and tactics that can better align research and technology development with established ethical principles, centring vulnerable peoples who continue to bear the brunt of negative impacts of innovation and scientific progress. We highlight problematic applications that are instances of coloniality, and using a decolonial lens, submit three tactics that can form a decolonial field of artificial intelligence: creating a critical technical practice of AI, seeking reverse tutelage and reverse pedagogies, and the renewal of affective and political communities. The years ahead will usher in a wave of new scientific breakthroughs and technologies driven by AI research, making it incumbent upon AI communities to strengthen the social contract through ethical foresight and the multiplicity of intellectual perspectives available to us, ultimately supporting future technologies that enable greater well-being, with the goal of beneficence and justice for all. (shrink)

The rapid urbanization of modern cities necessitates innovative approaches to data collection and integration for smarter urban management. With the Internet of Things (IoT) at the core of these advancements, the ability to efficiently gather, analyze, and utilize data becomes paramount. Generative Artificial Intelligence (AI) is revolutionizing data collection by enabling intelligent synthesis, anomaly detection, and real-time decision-making across interconnected systems. This paper explores how generative AI enhances IoT-driven data collection in smart cities, focusing on applications in transportation, energy, (...) public safety, and environmental monitoring. By addressing challenges such as data privacy, scalability, and ethical considerations, the study highlights how generative AI transforms urban governance and paves the way for sustainable and citizen-centric development. Key trends, case studies, and future research directions are discussed, showcasing the potential of generative AI as a cornerstone of smart city initiatives. (shrink)

In affective neuroscience, constructivist models are acutely influenced by the modern technological evolution, which underwrites an ongoing epistemological substitution of techne for episteme. Evidenced symptomatically in the influence of artificial intelligence (AI), affective artefacts, these models inform an ontological incursion of techne seen to coincide with posthumanist aspirations and anthropology. It is from the perspective of this neuroscientific techne that posthumanism views the human being as increasingly ill adapted to the modern technological civilization, which, conversely, is understood to require a (...) technical governance of the sort envisioned through AI. Among the projects thought necessary for implementing this framework is a recasting of the human emotional spectrum. Revealed through its techne recasting, however, are explanatory commitments to a metaphysic of extrinsic and contiguous causes, where malleability is ontologically constitutive. Aligned with posthumanist assertions malleability is invoked to argue for a rapid advance of the human form, normatively driven by enlightenment ideals. The ontological claim, however, dispenses with the stability of an a priori, intersubjective and interrelational metaphysical form that undergirds the emotions, leading to the collapse of a definitional anthropos. This paper will argue that techne models of the emotions selectively endorse philosophy of science commitments, thereby introducing a normative inversion that deconstructs the notion of anthropology pursued in posthumanist aspirations. (shrink)

Social media is full of dead people. Untold millions of dead users haunt the online world where we increasingly live our lives. What do we do with all these digital souls? Can we simply delete them, or do they have a right to persist? Philosophers have been almost entirely silent on the topic, despite their perennial focus on death as a unique dimension of human existence. Until now. -/- Drawing on ongoing philosophical debates, Digital Souls claims that the digital dead (...) are objects that should be treated with loving regard and that we have a moral duty towards. Modern technology helps them to persist in various ways, while also making them vulnerable to new forms of exploitation and abuse. This provocative book explores a range of questions about the nature of death, identity, grief, the moral status of digital remains and the threat posed by AI-driven avatars of dead people. In the digital era, it seems we must all re-learn how to live with the dead. (shrink)

Cultural heritage preservation, as the approach is known, and the enduring role it plays in safeguarding the culture and cultural values of Shanxi Opera is becoming even more important these days. Despite uncertainty and apprehension about utilising artificial intelligence, this matter is worth scrutiny in relation to the field of opera music. This may be so, as apart from these two occurrences, this field does not receive mention. This research aims to explore the effect of AI as a conduit for (...) message emulation between the Shanxi Opera tradition and the preservation of heritage and the opera music genre. The study employed a combination of qualitative and quantitative research methods, which used the survey data and cultural heritage preservation and opera music experts' perception data. I then employed partial least squares structural equation modelling (PLS-SEM) to interpret existing AI utilisation and to understand the role of AI as a mediator in this scenario. The outcome of the study implies that the existence of AI will not only boost the contribution of cultural heritage conservation but also positively impact the early stages of the contemporary revival of Shanxi Opera music. AI not only helps in heritage preservation but also makes it easier to include modern audiences. It introduces new musical trends and styles that are more engaging with the current audience. This paper lays out certain practical applications of artificial intelligence AI as a key to appreciating the human cultural heritage. It is the AI-driven contribution to opera music superiority that stands as the hallmark of technology. The outcomes showcase a one-of-a-kind perspective that indicates the ability of policymakers, cultural heritage preservers, and opera commuters to bridge the gap between traditional and modern technologies through AI. Research has stressed the essence of enlisting AI as a typical tool today to preserve cultural heritage. This, in turn, largely contributes to the development of dramatic genres such as opera. It serves as a rather remarkable point of interface between the cutting-edge realms of technology and cultural legacy, illustrating how AI can virtually reshape the artistic world. (shrink)

Social media is full of dead people. What should we do with all these digital souls? Can we delete them, or do they have a right to persist? Patrick Stokes claims that we have a moral duty towards the digital dead. Modern technology helps them to persist in various ways, but - with such developments as AI-driven chatbots simulating the dead - it also makes them vulnerable to new forms of exploitation and abuse. This provocative book explores a range (...) of questions about the nature of death, identity, grief, and the moral status of digital remains. (shrink)

Urbanization poses significant challenges to healthcare systems, including overcrowded hospitals, inequitable access to care, and rising costs. Artificial Intelligence (AI) and the Internet of Things (IoT) offer transformative solutions for optimizing healthcare delivery in smart cities. This paper explores how AI-driven predictive analytics, combined with IoT-enabled wearable devices and telemedicine platforms, can enhance patient outcomes, streamline resource allocation, and reduce urban health disparities. By analyzing real-time health data and predicting disease outbreaks, this study demonstrates the potential of AI to (...) revolutionize urban healthcare systems. Experimental results highlight improvements in diagnostic accuracy, emergency response times, and operational efficiency, paving the way for equitable and sustainable healthcare in smart cities. (shrink)

Background Given that AI-driven decision support systems (AI-DSS) are intended to assist in medical decision making, it is essential that clinicians are willing to incorporate AI-DSS into their practice. This study takes as a case study the use of AI-driven cardiotography (CTG), a type of AI-DSS, in the context of intrapartum care. Focusing on the perspectives of obstetricians and midwives regarding the ethical and trust-related issues of incorporating AI-driven tools in their practice, this paper explores the conditions (...) that AI-driven CTG must fulfill for clinicians to feel justified in incorporating this assistive technology into their decision-making processes regarding interventions in labor. Methods This study is based on semi-structured interviews conducted online with eight obstetricians and five midwives based in England. Participants were asked about their current decision-making processes about when to intervene in labor, how AI-driven CTG might enhance or disrupt this process, and what it would take for them to trust this kind of technology. Interviews were transcribed verbatim and analyzed with thematic analysis. NVivo software was used to organize thematic codes that recurred in interviews to identify the issues that mattered most to participants. Topics and themes that were repeated across interviews were identified to form the basis of the analysis and conclusions of this paper. Results There were four major themes that emerged from our interviews with obstetricians and midwives regarding the conditions that AI-driven CTG must fulfill: (1) the importance of accurate and efficient risk assessments; (2) the capacity for personalization and individualized medicine; (3) the lack of significance regarding the type of institution that develops technology; and (4) the need for transparency in the development process. Conclusions Accuracy, efficiency, personalization abilities, transparency, and clear evidence that it can improve outcomes are conditions that clinicians deem necessary for AI-DSS to meet in order to be considered reliable and therefore worthy of being incorporated into the decision-making process. Importantly, healthcare professionals considered themselves as the epistemic authorities in the clinical context and the bearers of responsibility for delivering appropriate care. Therefore, what mattered to them was being able to evaluate the reliability of AI-DSS on their own terms, and have confidence in implementing them in their practice. (shrink)

Urban parking systems are a significant contributor to traffic congestion and driver frustration, with studies showing that up to 30% of urban traffic is caused by drivers searching for parking. Traditional parking systems often lack real-time data and adaptability, leading to inefficiencies such as overfilled lots and underutilized spaces. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban parking by enabling real-time parking space detection, demand forecasting, and dynamic pricing. By integrating data from IoT sensors, traffic (...) systems, and mobile applications, cities can reduce congestion, improve parking availability, and enhance the overall urban mobility experience. Experimental results demonstrate significant improvements in parking efficiency, traffic flow, and user satisfaction, offering a sustainable blueprint for smart urban parking systems. (shrink)

Water scarcity and inefficient water management are critical challenges for rapidly growing urban areas. Traditional water distribution systems often suffer from leaks, wastage, and inequitable access, exacerbating resource shortages. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban water management by enabling real-time monitoring, predictive maintenance, and efficient resource allocation. By integrating data from smart meters, pressure sensors, and weather forecasts, cities can reduce water losses, improve distribution efficiency, and ensure equitable access. Experimental results demonstrate significant (...) improvements in leak detection, water conservation, and infrastructure reliability, offering a sustainable blueprint for urban water management in smart cities. (shrink)

Buildings account for a significant portion of global energy consumption and carbon emissions, making energy efficiency a critical focus for urban sustainability. Traditional building management systems often lack the adaptability and precision needed to optimize energy usage dynamically. This paper explores how Artificial Intelligence (AI) and IoT technologies can enhance energy efficiency in smart buildings by enabling real-time monitoring, predictive maintenance, and adaptive control systems. By integrating data from smart meters, occupancy sensors, and environmental monitors, cities can reduce energy waste, (...) lower carbon footprints, and improve occupant comfort. Experimental results demonstrate significant improvements in energy savings, operational costs, and environmental impact, offering a sustainable blueprint for smart building management. (shrink)

The growing volume of urban waste poses significant environmental and economic challenges for cities worldwide. Traditional waste management systems often rely on inefficient collection routes, inadequate recycling processes, and excessive landfill usage. This paper explores how Artificial Intelligence (AI) and IoT technologies can revolutionize waste management in smart cities by enabling real-time monitoring, automated sorting, and optimized collection routes. By integrating data from smart bins, robotic sorting systems, and predictive analytics, cities can achieve zero-waste goals and promote circular economy practices. (...) Experimental results demonstrate significant improvements in waste segregation accuracy, collection efficiency, and recycling rates, offering a sustainable blueprint for urban waste management. (shrink)

Air pollution is a critical challenge for urban areas, contributing to public health crises and environmental degradation. Traditional air quality monitoring systems often lack the granularity and adaptability needed to address dynamic pollution sources and patterns. This paper explores how Artificial Intelligence (AI) and IoT technologies can enhance air quality management in smart cities by enabling real-time monitoring, pollution source identification, and adaptive mitigation strategies. By integrating data from IoT sensors, satellite imagery, and traffic systems, cities can reduce pollution levels, (...) improve public health outcomes, and promote sustainable urban environments. Experimental results demonstrate significant improvements in pollution detection accuracy, mitigation efficiency, and public awareness, offering a sustainable blueprint for urban air quality management. (shrink)

Noise pollution is a growing concern in urban areas, contributing to public health issues such as stress, sleep disturbances, and hearing loss. Traditional noise monitoring systems often lack the granularity and adaptability needed to address dynamic noise sources and patterns. This paper explores how Artificial Intelligence (AI) and IoT technologies can enhance noise pollution management in smart cities by enabling real-time monitoring, source identification, and adaptive mitigation strategies. By integrating data from IoT sensors, traffic systems, and urban infrastructure, cities can (...) reduce noise levels, improve public health outcomes, and enhance the quality of life for residents. Experimental results demonstrate significant improvements in noise detection accuracy, mitigation efficiency, and public awareness, offering a sustainable blueprint for urban noise pollution management. (shrink)

Many are calling for concrete mechanisms of oversight for health research involving artificial intelligence (AI). In response, institutional review boards (IRBs) are being turned to as a familiar model of governance. Here, we examine the IRB model as a form of ethics oversight for health research that uses AI. We consider the model's origins, analyze the challenges IRBs are facing in the contexts of both industry and academia, and offer concrete recommendations for how these committees might be adapted in order (...) to provide an effective mechanism of oversight for health‐related AI research. (shrink)

Urban wastewater management is a critical component of sustainable water cycles, but traditional systems often struggle with inefficiencies such as high operational costs, resource wastage, and environmental pollution. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban wastewater management by enabling real-time monitoring, predictive maintenance, and resource recovery. By integrating data from IoT sensors, water quality monitors, and treatment plants, cities can improve water quality, reduce operational costs, and recover valuable resources such as energy and nutrients. (...) Experimental results demonstrate significant improvements in treatment efficiency, resource recovery rates, and environmental impact, offering a sustainable blueprint for smart urban wastewater systems. (shrink)

Urban lighting systems are essential for safety, security, and quality of life, but they often consume significant energy and lack adaptability to changing conditions. Traditional lighting systems rely on fixed schedules and manual adjustments, leading to inefficiencies such as over-illumination and energy waste. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban lighting by enabling real-time adjustments, energy savings, and adaptive illumination based on environmental conditions and human activity. By integrating data from motion sensors, weather forecasts, (...) and traffic systems, cities can reduce energy consumption, enhance safety, and improve the quality of life for residents. Experimental results demonstrate significant improvements in energy efficiency, lighting quality, and operational costs, offering a sustainable blueprint for smart urban lighting systems. (shrink)

Urban resilience is critical for ensuring the sustainability and adaptability of cities in the face of growing challenges such as climate change, population growth, and infrastructure degradation. Predictive analytics, powered by Artificial Intelligence (AI) and the Internet of Things (IoT), offers a transformative approach to enhancing urban resilience. This paper explores how AI-driven predictive analytics can optimize disaster preparedness, infrastructure maintenance, and resource allocation in smart cities. By integrating real-time data from IoT sensors with advanced machine learning models, cities (...) can proactively address vulnerabilities and improve decision-making. This study highlights key applications, challenges, and future directions for leveraging predictive analytics to build resilient urban ecosystems. (shrink)

The incorporation of Artificial Intelligence (AI) into contemporary linguistics exhibits a significant and transformational change in the discipline. AI technologies, which include natural language processing (NLP), machine learning, and computational linguistics, have significantly transformed the methods employed by linguists for studying, analyzing, and applying linguistic principles. However, as the integration of artificial intelligence (AI) within modern linguistics has presented novel opportunities, facilitating scholars in their investigation of language at an unprecedented scale and level of intricacy, it is pertinent to understand (...) how language educators; especially, the university lecturers perceive these positive innovations. Nevertheless, the current research is focused on examining the responses of senior lecturers on the integration of AI in modern linguistics. The research objective further centered on gender variation in the responses of these lecturers in regard to technological innovations brought in by the integration of AI in modern linguistics. Using a quantitative research method, a good number of participants who are mainly senior lectures were engaged in an online interview. These participants consisting of forty-six (46) females and thirty-seven (37) males shared their opinions with regard to the focus of the study. Moreover, two important hypotheses were developed for this research and a t-test was conducted to validate these hypotheses. The findings generated from the data analyzed indicated that although there are no significant differences in the perceptions of both male and female lecturers on the integration of AI in modern linguistics, there are some aspects specific to modern linguistics with observable gender variations in responses of the participants. Such aspect includes easy adaption of new AI tools, level of benefits and ethical challenges. Also, while female lecturers address the AI integration in modern linguistics from ethical and beneficial point of view, the male counterparts focused more on accessibility and inclusivity. (shrink)

Healthcare data warehousing test automation is becoming a success through the help of AI-based technology that results in accuracy, efficiency, and data integrity on the automated test. The one central to personalized patient data that forms the core of traditional data warehousing solutions frequently faces problems of complexity and dissatisfaction. Deep learning with test automation solutions makes data ingestion, processing, and testing conversant through machine learning algorithms [1]. These systems encompass separate acts such as testing for data integration, testing the (...) quality of data as well as performance testing removing the factors of time and human error. In healthcare organizations, this approach delivers the message of enhancing quality, compliance and organizational efficiency in value-based care and precision medicine initiatives. As such, artificial intelligence tools can be used to address the essential issues regarding data warehousing, and this can in turn enhance decision-making, and thus, enhance the health of patient and the overall population. (shrink)

This study investigates audience perceptions of AI-generated news across ten African countries, focusing on trust, bias, and transparency. Using a non-probability cross-sectional online survey, data were collected from 1960 participants between May and July 2024. The sample encompassed diverse demographics, leveraging social media for broad reach. The study revealed that trust in AI-generated news is generally neutral, with significant variations influenced by demographic factors, particularly age. A moderate positive correlation between perceived bias and trust suggests that awareness of potential biases (...) does not necessarily erode trust. Younger participants showed greater receptiveness to AI-generated content, especially when transparency and readability were prioritized. The findings underscore the need to address bias, transparency, and digital literacy to build trust in AI-generated news, particularly among older audiences. The study advances theoretical frameworks, including uses and gratifications, digital divide, and cultivation theory, while highlighting the importance of digital literacy in shaping media consumption patterns. Practical implications emphasize the need for culturally relevant AI applications in journalism and digital literacy programs to bridge the trust gap in AI-driven news across Africa. These insights are crucial for news organizations, policymakers, and educators aiming to understand the interaction between AI and Journalism in Africa. (shrink)

Traditional medical practices and relationships are changing given the widespread adoption of AI-driven technologies across the various domains of health and healthcare. In many cases, these new technologies are not specific to the field of healthcare. Still, they are existent, ubiquitous, and commercially available systems upskilled to integrate these novel care practices. Given the widespread adoption, coupled with the dramatic changes in practices, new ethical and social issues emerge due to how these systems nudge users into making decisions and (...) changing behaviours. This article discusses how these AI-driven systems pose particular ethical challenges with regards to nudging. To confront these issues, the value sensitive design approach is adopted as a principled methodology that designers can adopt to design these systems to avoid harming and contribute to the social good. The AI for Social Good factors are adopted as the norms constraining maleficence. In contrast, higher-order values specific to AI, such as those from the EU High-Level Expert Group on AI and the United Nations Sustainable Development Goals, are adopted as the values to be promoted as much as possible in design. The use case of Amazon Alexa's Healthcare Skills is used to illustrate this design approach. It provides an exemplar of how designers and engineers can begin to orientate their design programs of these technologies towards the social good. (shrink)

Background Artificial intelligence-driven Clinical Decision Support Systems (AI-CDSS) are increasingly being integrated into healthcare for various purposes, including resource allocation. While these systems promise improved efficiency and decision-making, they also raise significant ethical concerns. This study aims to explore healthcare professionals’ perspectives on the ethical implications of using AI-CDSS for healthcare resource allocation. Methods We conducted semi-structured qualitative interviews with 23 healthcare professionals, including physicians, nurses, administrators, and medical ethicists in Turkey. Interviews focused on participants’ views regarding the use (...) of AI-CDSS in resource allocation, potential ethical challenges, and recommendations for responsible implementation. Data were analyzed using thematic analysis. Results Participant responses are clustered around five pre-determined thematic areas: (1) balancing efficiency and equity in resource allocation, (2) the importance of transparency and explicability in AI-CDSS, (3) shifting roles and responsibilities in clinical decision-making, (4) ethical considerations in data usage and algorithm development, and (5) balancing cost-effectiveness and patient-centered care. Participants acknowledged the potential of AI-CDSS to optimize resource allocation but expressed concerns about exacerbating healthcare disparities, the need for interpretable AI models, changing professional roles, data privacy, and maintaining individualized care. Conclusions The integration of AI-CDSS into healthcare resource allocation presents both opportunities and significant ethical challenges. Our findings underscore the need for robust ethical frameworks, enhanced AI literacy among healthcare professionals, interdisciplinary collaboration, and rigorous monitoring and evaluation processes. Addressing these challenges proactively is crucial for harnessing the potential of AI-CDSS while preserving the fundamental values of equity, transparency, and patient-centered care in healthcare delivery. (shrink)

This essay examines the cultural politics of Artificial Intelligence (AI) in China through the lens of postsocialism, proposing the concept of a ‘postsocialist AI’ that goes beyond the dominant paradigm of neoliberal informationalism. The essay first explores the distinct state-capital nexus in China’s AI development, characterized by paradoxical modes of operation driven by neoliberal motivations, yet also deeply influenced by symbolic lexicons, value systems, and institutional structures rooted in Leninist-Maoist traditions. The complex interplay of state support, local governmental practices, (...) and market investment showcases ongoing negotiations among contradictory political-economic objectives and subject positions that resist simplification into a globally universalized model of neoliberal capitalism. Further, the essay investigates the ontogenesis or sociogenesis of machine learning – the process through which intelligent machines become socialized through interactions with their sociocultural and political contexts. By foregrounding the interactive encounter between distinct modes of machinic intelligence and Chinese modernity experiences, the essay contests the prevailing neoliberal subjectivity in AI studies and seeks to expand the political horizon limited by the hegemonic figure of homo economicus. (shrink)

The modern slavery literature engages with history in an extremely limited fashion. Our paper demonstrates to the utility of historical research to modern slavery researchers by explaining the rise and fall of the ethics-driven market category of “free-grown sugar” in nineteenth-century Britain. In the first decades of the century, the market category of “free-grown sugar” enabled consumers who were opposed to slavery to pay a premium for a more ethical product. After circa 1840, this market category disappeared, even though (...) considerable quantities of slave-grown sugar continued to arrive into the UK. We explain the disappearance of the market category. Our paper contributes to the on-going debates about slavery in management by historicizing and thus problematizing the concept of “slavery”. The paper challenges those modern slavery scholars who argue that lack of consumer knowledge about product provenance is the main barrier to the elimination of slavery from today’s international supply chains. The historical research presented in this paper suggests that consumer indifference, rather than simply ignorance, may be the more fundamental problem. The paper challenges the optimistic historical metanarrative that pervades much of the research on ethical consumption. It highlights the fragility of ethics-driven market categories, offering lessons for researchers and practitioners seeking to tackle modern slavery. (shrink)

The use of Artificial Intelligence (AI) in educational gamification marks a significant advancement, transforming traditional learning methods by offering interactive, adaptive, and personalized content. This approach makes historical content more relatable and promotes active learning and exploration. This research presents an innovative approach to heritage education, combining AI and gamification, explicitly targeting the Silk Roads. It represents a significant progression in a series of research, transitioning from basic 2D textual interactions to a 3D environment using photogrammetry, combining historical authenticity and (...) immersive gameplay. It features AI-driven characters developed in Unreal Engine, which provides heritage insights augmented by personalized interactions, highlighting the importance of collaborative tools like interactive quizzes for enriching education and promoting critical thinking and community among learners. In conclusion, this research underlines the transformative impact of AI and gamification in heritage education enhancement, integrating real-time voice conversation and interactive pedagogical methods into immersive 3D environments as a supplementary tool. (shrink)

As artificial intelligence (AI) systems become more prevalent, ethical inquiry into transparency, trust, and patient autonomy must develop with similar pace. One area where such inquiry required is...

Integrating artificial intelligence (AI) into healthcare can potentially revolutionize how clinical decisions are made. Advancements in AI-driven Clinical Decision Support Systems (AI_CDSS) are enh...

The rapid progress of artificial intelligence (AI) has resulted in its integration into various stages of the media process, including information gathering, processing, and distribution. This integration has raised the possibility of AI dominating the media industry, leading to an era of “autonomous driving” within AI-driven media systems. Similar to the ethical dilemma known as the “trolley problem” (TP) in autonomous driving, a comparable problem arises in AI automated media. This study examines the emergence of the new TP in (...) fully automated AI-driven media (FAAIM), recognizing the complexity of this problem given the nature of media content and its societal impact. To address this complexity, we propose the adoption of the theory of “meaningful human control,” originally developed to address responsibility in the governance of lethal autonomous weapons systems, as a framework for governing FAAIM. By ensuring that humans can be held responsible for the operations of FAAIM, this paper aims to proactively confront the ethical challenges arising from FAAIM, identify potential solutions, and guide future research in media ethics. (shrink)

Social media has witnessed different eating practices, including food mukbang. Food mukbang is a type of video presentation where hosts consume large quantities of food while interacting with viewers. This study is situated on the social eating theory, which explains how people connect their individual interests with society. Though this practice has been on social media platforms for a while now, little is known about its health impact on a wide range of audiences. Unhealthy eating practices are associated with obesity (...) and other chronic diseases, which are the leading causes of death in the world today. Given that there are unhealthy eating practices in food mukbang videos on social media, we collected thirty (30) food mukbang creative common license YouTube videos, and we extracted 2297 comments from these videos to study the trends. In view of this, we found that there is a collection of more unhealthy foods eaten to entertain viewers, different unhealthy eating behaviors such as eating quickly, talking while eating, and putting too much food in the mouth. In addition, we found that the viewers’ sentiments were positive, and they loved watching these videos. Hence, in its best practice, we propose an AI-driven persuasive intervention because AI technologies are capable of detecting unhealthy eating patterns and persuasive interventions can promote a change in behavior (healthy eating behavior). Based on our findings, we present three design recommendations for YouTube and other social media designers to consider in future: (1) using artificial intelligence-related technologies for predicting videos, (2) using natural language processing to prompt feedback, and (3) auto-generating disclaimers at the beginning and end of the video. (shrink)

The rapid progress of artificial intelligence (AI) has resulted in its integration into various stages of the media process, including information gathering, processing, and distribution. This integration has raised the possibility of AI dominating the media industry, leading to an era of “autonomous driving” within AI-driven media systems. Similar to the ethical dilemma known as the “trolley problem” (TP) in autonomous driving, a comparable problem arises in AI automated media. This study examines the emergence of the new TP in (...) fully automated AI-driven media (FAAIM), recognizing the complexity of this problem given the nature of media content and its societal impact. To address this complexity, we propose the adoption of the theory of “meaningful human control,” originally developed to address responsibility in the governance of lethal autonomous weapons systems, as a framework for governing FAAIM. By ensuring that humans can be held responsible for the operations of FAAIM, this paper aims to proactively confront the ethical challenges arising from FAAIM, identify potential solutions, and guide future research in media ethics. (shrink)

Artificial intelligence (AI)-based virtual influencers are now frequently used by brands in various categories to engage customers. However, little is known about who the followers of these AI-based virtual influencers are and more importantly, what drives the followers to use AI-based virtual influencers. The results from a survey support the notion that compensatory mechanisms and the need to belong play important roles in affecting usage intentions of AI-based virtual influencers. Specifically, the study finds that usage intentions are mediated and moderated (...) by compensatory mechanisms that arise from the perception of AI-based virtual influencers’ functional benefits and existential threats to human identity. Furthermore, the need for belonging moderates the effects of the following status (following versus non-following) on perceived personalization benefits of AI-based virtual influencers and behavioral intentions to use AI-based virtual influencers. This study provides important implications for academia delving into the social, cultural, and philosophical implications of AI-based virtual influencers for human societies as well as for brands that plan to use AI-based virtual influencers and gain a better understanding of their customers in AI-driven digital marketing. (shrink)

This paper explores a neglected normative dimension of algorithmic opacity in the workplace and the labor market. It argues that explanations of algorithms and algorithmic decisions are of noninstrumental value. That is because explanations of the structure and function of parts of the social world form the basis for reflective clarification of our practical orientation toward the institutions that play a central role in our life. Using this account of the noninstrumental value of explanations, the paper diagnoses distinctive normative defects (...) in the workplace and economic institutions which a reliance on AI can encourage, and which lead to alienation. (shrink)

Social machines are systems formed by technical and human elements interacting in a structured manner. The use of digital platforms as mediators allows large numbers of human participants to join such mechanisms, creating systems where interconnected digital and human components operate as a single machine capable of highly sophisticated behaviour. Under certain conditions, such systems can be described as autonomous and goal-driven agents. Many examples of modern Artificial Intelligence (AI) can be regarded as instances of this class of mechanisms. (...) We argue that this type of autonomous social machines has provided a new paradigm for the design of intelligent systems marking a new phase in the field of AI. The consequences of this observation range from methodological, philosophical to ethical. On the one side, it emphasises the role of Human-Computer Interaction in the design of intelligent systems, while on the other side it draws attention to both the risks for a human being and those for a society relying on mechanisms that are not necessarily controllable. The difficulty by companies in regulating the spread of misinformation, as well as those by authorities to protect task-workers managed by a software infrastructure, could be just some of the effects of this technological paradigm. (shrink)

The field of digital cultural art design is increasingly driven by technological progress, forming a unique expression form that blends virtuality and reality. From a philosophical perspective, this article explores the application and embodiment of the ancient and profound philosophical thought of "virtuality and reality" in digital cultural art design. By analyzing the origin of the philosophy of "virtuality and reality" in ancient Chinese thought and its comparison in Western philosophy, combined with the creative practice of digital art, this (...) article reveals the manifestation of the philosophical opposition and unity of virtuality and reality, form and content, finite and infinite in digital art creation. In particular, with the development of technologies such as virtual reality (VR), augmented reality (AR), and artificial intelligence (AI), digital art design is increasingly showing the characteristics of transcending time and space and combining virtuality and reality. This article deeply explores how to use the philosophical thought of "virtuality and reality" to construct the expression system in digital cultural art, pointing out that the art design combining virtuality and reality is not only a technical means, but also a manifestation of modern cultural philosophy, and provides a new thinking mode for artistic creation. (shrink)

This paper examines the oncoming socio-economic impact of the Technological Revolution and the "AI Ecosystem", particularly on the legal community and its processes as a practical example with which both liberal artists and scientists might identify. In particular, the tension between the economic- and socially driven thrust of modern society and traditional human value systems is discussed at some length. It includes the effects on societal values and structures that have resulted and are likely to continue well into the (...) foreseeable future and suggests possible remedies for these problems avoiding the deep jargon of both the law and technology. (shrink)

Artificial intelligence is likely to undermine the anthropocentrism of humanism, the master narrative that undergirds the modern world. Humanity will need a new story to structure our beliefs and cooperation around. As different regions explore posthumanist alternatives through fiction, they bring with them distinct traditions of thought. The Swedish TV series _Real Humans_ (2012–2014) and its British remake, _Humans_ (2015–2018), dramatize the challenge of freeing oneself from cultural presumptions. When negotiating personhood with humanoid robots, the Swedish protagonist family presupposes a (...) social-democratic ethos, which is a trace of Scandinavian humanism that carries into the family’s posthumanist beliefs. Using Heideggerian and related perspectives, I analyze these series to make a case for a _dataist_ ontology with potential to re-enchant the modern world and bring forth a new epoch of being. Such a master narrative of _algorithmic universality_ could be facilitated by a new level of interconnectedness made possible by AI. This ontology fulfills the requirements of Robbins and Horta (Introduction, Cosmopolitanisms. New York University Press, New York, pp 1–17, 2017) who call for a cosmopolitanism of inclusivity with room for overlapping conceptions to remedy our present era’s international dysfunction. The Swedish and British TV series suggest that even if humanity’s uniting around a dataist master narrative were to be driven by intercultural competition, the decisive choice might be out of human hands. Paradoxically, such disempowering in terms of agency is portrayed as necessary for human _re-enchantment_. (shrink)

This article explores the potential ways in which artificial intelligence (AI) can support veganism, a lifestyle that aims to promote the protection of animals and also avoids the consumption of animal products for environmental and health reasons. The first part of the article discusses the technical requirements for utilizing AI technologies in the mentioned field. The second part provides an overview of potential use cases, including facilitating consumer change with the help of AI, technologically augmenting undercover investigations in factory farms, (...) raising the efficiency of nongovernment organizations promoting plant-based lifestyles, and so forth. The article acknowledges that the deployment of AI should not happen in a “solutionist” manner, meaning to always consider nontechnical means for achieving desired outcomes. However, it is important for organizations promoting veganism to realize the potential of modern data-driven tools and to merge and share their data to reach common goals. (shrink)

Concerns about threats to human autonomy feature prominently in the field of AI ethics. One aspect of this concern relates to the use of AI systems for problematically manipulative influence. In response to this, the European Union’s draft AI Act (AIA) includes a prohibition on AI systems deploying subliminal techniques that alter people’s behavior in ways that are reasonably likely to cause harm (Article 5(1)(a)). Critics have argued that the term ‘subliminal techniques’ is too narrow to capture the target cases (...) of AI-based manipulation. We propose a definition of ‘subliminal techniques’ that (a) is grounded on a plausible interpretation of the legal text; (b) addresses all or most of the underlying ethical concerns motivating the prohibition; (c) is defensible from a scientific and philosophical perspective; and (d) does not over-reach in ways that impose excessive administrative and regulatory burdens. The definition is meant to provide guidance for design teams seeking to pursue responsible and ethically aligned AI innovation. (shrink)

In an era of technological ubiquity, artificial intelligence (AI) is reshaping not only industries but also fundamental human experiences, including artistic creativity. Rooted in a Posthumanist theoretical framework, this research scrutinizes the intricate ethical and aesthetic challenges that artists confront in AI-enabled art creation, with a particular focus on a novel phenomenon we term 'aesthetic loss of control.’ This phenomenon bears significant implications for notions of authorship, copyright, and business ethics in the art industry. Utilizing a mixed-methods approach, our study (...) involves a six-month-long collaboration with 34 artists from diverse artistic and cultural milieus, facilitated by AI algorithms versed in an array of artistic styles. Through iterative cycles of human input and AI output, coupled with in-depth interviews, observational studies, and diary analyses, we meticulously document the artists’ experiences and their emerging doubts over authorship and creative control. Our findings illuminate the nuanced complexities surrounding this 'aesthetic loss of control,’ extending current discussions in business ethics by offering empirically grounded insights and recommendations for navigating these ethical dilemmas. The study not only contributes new theoretical perspectives to the discourse but also provides actionable ethical guidelines for stakeholders in the art industry's commercial ecosystem. (shrink)

In the broadest sense, this intellectual biography is designed to give insight into the reasons why Western values and institutions failed to take root in the Chinese environment. Three interrelated themes are treated by Professor Duiker: the evolution of the Chinese educational system from the beginning of the 20th century to World War II; the process by which a Chinese intellectual absorbed Western values and attitudes while retaining significant elements of his traditional Confucian world view; the goals of the humanist (...) movement in early republican China and the reasons for its failure. Ts'ai, as first Minister of Education under the 1912 republic, helped to formulate educational policies during an important stage of transition in modern China. Later, as chancellor of Peking University, he was a central figure in the tumultuous events of the May Fourth period. Having been educated traditionally to the doctoral level before studying at a European university, Ts'ai attempted to synthesize the humanist side of the Confucian tradition with the libertarian elements in Western culture. Ts'ai's synthesis was unique but ultimately unsuccessful. Penn State Study No. 41. (shrink)

Après les guerres du siècle dernier qui ont remis en cause l'idée de progrès, devant les formes multiples des guerres actuelles, peut-on encore penser la paix aujourd'hui? A l'encontre des idées conservatrices de la paix où cette dernière, conçue comme ordre et stabilité, a souvent été le corrélat des Etats policiers, la pensée de la paix, telle que l'élabore Levinas, relève d'une critique de l'autoritarisme politique et permet d'élaborer un nouveau concept de liberté affranchi de la tutelle des Etats. La (...) paix n'est pas ici une idée abstraite mais porte le sujet hors de toutes les formes de confort moral ou de conformisme politique. C'est à un Levinas neuf que nous avons ici à faire : tout en dialoguant avec la tradition moderne et contemporaine de la philosophie politique, il nous montre que la paix est une forme d'insubordination qui aspire à "désembourgeoiser la révolution". Une lecture intranquille de Levinas. (shrink)

In the broadest sense, this intellectual biography is designed to give insight into the reasons why Western values and institutions failed to take root in the Chinese environment. Three interrelated themes are treated by Professor Duiker: the evolution of the Chinese educational system from the beginning of the 20th century to World War II; the process by which a Chinese intellectual absorbed Western values and attitudes while retaining significant elements of his traditional Confucian world view; the goals of the humanist (...) movement in early republican China and the reasons for its failure. Ts'ai, as first Minister of Education under the 1912 republic, helped to formulate educational policies during an important stage of transition in modern China. Later, as chancellor of Peking University, he was a central figure in the tumultuous events of the May Fourth period. Having been educated traditionally to the doctoral level before studying at a European university, Ts'ai attempted to synthesize the humanist side of the Confucian tradition with the libertarian elements in Western culture. Ts'ai's synthesis was unique but ultimately unsuccessful. Penn State Study No. 41. (shrink)

Background The rapidly growing quantity of health data presents researchers with ample opportunity for innovation. At the same time, exploitation of the value of Big Data poses various ethical challenges that must be addressed in order to fulfil the requirements of responsible research and innovation (Gerke et al. 2020 ; Howe III and Elenberg 2020 ). Data sovereignty and its principles of self-determination and informed consent are central goals in this endeavor. However, their consistent implementation has enormous consequences for the (...) collection and processing of data in practice, especially given the complexity and growth of data in healthcare, which implies that artificial intelligence (AI) will increasingly be applied in the field due to its potential to unlock relevant, but previously hidden, information from the growing number of data (Jiang et al. 2017 ). Consequently, there is a need for ethically sound guidelines to help determine how data sovereignty and informed consent can be implemented in clinical research. Methods Using the method of a narrative literature review combined with a design thinking approach, this paper aims to contribute to the literature by answering the following research question: What are the practical requirements for the thorough implementation of data sovereignty and informed consent in healthcare? Results We show that privacy-preserving technologies, human-centered usability and interaction design, explainable and trustworthy AI, user acceptance and trust, patient involvement, and effective legislation are key requirements for data sovereignty and self-determination in clinical research. We outline the implications for the development of IT solutions in the German healthcare system. (shrink)