Ghostwriting the Stage

Agency in Adaptation

Artificial Intelligence (AI) is not a neutral tool. The debate on AI is not about technology, but about power, order and values. It is desirable to take a multidisciplinary approach and place technology within democratic ethical and political norms. The European Union has built a coherent and ambitious regulatory framework, backed by a clear political vision, a liberal one, based on rules and procedures, on the one hand, and respect for individual rights and freedoms, on the other.

The development of digital technology in the 21st century has revolutionized the way humans interact, work, and access information. However, as new opportunities open up, new challenges also arise in efforts to realize substantive gender justice. Gender justice can no longer be understood simply as equality of access or representation, but must be analyzed in a more complex context through an intersectionality approach that considers the intersection between various social identities such as gender, race, class, sexual orientation, age, disability, and geographical background. This research aims to explore how digital technology, if not accompanied by intersectional awareness, can reproduce or even strengthen structural inequalities that have existed in society. In today’s digital ecosystem, algorithms and artificial intelligence (AI) are the main drivers in various fields, ranging from job selection and media reporting to social interaction in online media. However, many studies suggest that algorithms can carry systemic biases, as they are developed from historical data that reflect past inequalities. For example, automated recruitment algorithms may be biased against women or ethnic minorities, or facial recognition systems may fail to recognize people of non-white races with high accuracy. This phenomenon demonstrates that technology is not a neutral tool, but rather a social product that can reflect and maintain certain forms of dominance if it is not critically examined. Using a normative juridical research approach based on literature studies and presented descriptively, this study explains and analyzes issues related to gender justice in the digital sphere. In the final stage, conclusions are drawn by examining various case examples from academic literature and reports of international organizations. The main focus of the analysis lies on three dimensions: (1) gender representation and narratives in digital media; (2) access to and participation of women and vulnerable groups in technology development; and (3) the increasing prevalence of gender-based inequalities in online spaces.based violence, uch as doxing, cyberharassment, and nonconsensual pornography. These three dimensions will be examined using an intersectional lens to understand how the experience of injustice in the digital space is not homogeneous, but varies depending on the context of closely related identities. Furthermore, this research proposes the idea that sustainable digital culture development must be based on the principles of social justice that ensure diversity, inclusivity, and equality. Technology should be a tool to strengthen participatory democracy and social solidarity, not to deepen inequality or reinforce hidden discrimination. Therefore, a transformative approach is needed in public policy, technology design, digital education, and platform regulation, which is integrated with the principles of intersectionality and sustainability. The results of the study show that gender justice in the digital era will not be achieved only through the provision of internet access, but must involve a paradigm shift in the way technology is produced, accessed, and interpreted. Thus, the study closes with policy and practice recommendations that encourage collaboration between stakeholders including policymakers, technology developers, academics, and grassroots communities in creating a more equitable, ethical, and sustainable digital space.

Artificial intelligence is reshaping our world, merging human consciousness with technology through tools like virtual reality, augmented reality, and brain-computer interfaces. These innovations blur the line between physical and digital realms, challenging traditional notions of subjectivity and opening pathways for self-expression and cognitive enhancement. AI is not just a neutral tool but a human invention influencing daily life with virtual assistants, personalized recommendations, and autonomous vehicles. However, its rapid growth raises critical legal and ethical challenges, including data privacy, algorithm accountability, transparency, and its impact on employment. These issues demand new regulations across Europe, the USA, and globally. Collaboration among scientists, policymakers, and stakeholders is essential to maximize AI’s societal benefits and ensure ethical development in this dynamic technological landscape.

Purpose: The parallel advancements in Brain-Computer Interfaces (BCIs) and Artificial Intelligence (AI) are rapidly creating a new paradigm of human-technology interaction. While much scholarship exists on the technological singularity and superintelligent machines in isolation, and on BCIs as medical devices, a significant gap exists in understanding their convergent impact. This research seeks to address this gap by qualitatively exploring a critical question: As BCIs become the primary interface between human cognition and a potentially superintelligent digital ecosystem, how will human agency, identity, and social structure be transformed, and what novel frameworks of ethical governance will be required? Methodology: This topic moves beyond purely technological forecasting to investigate the profound socio-philosophical implications of this convergence, making it ideal for a qualitative, scholarly inquiry. Using the exploratory research method, the relevant information is collected using keywords through search engines like Google, Google Scholar, AI-driven GPTs, and the collected information is analysed as per the objectives of the paper. Analysis: Based on a structured SWOC and ABCD analysis, the convergence of BCI and superintelligent AI presents a dual-edged future of immense potential benefits, such as eradicating disease and augmenting human cognition, alongside profound risks like existential threats from misaligned AI and the erosion of human autonomy. The analysis identifies key challenges, including irreversible social inequality, loss of mental privacy, and the potential devaluation of human purpose. Predictive scenario building outlines three plausible futures—Symbiotic Harmony, Gilded Cage, and Volatile Partnership—highlighting that the ultimate outcome depends on solving critical issues of AI alignment and establishing robust ethical governance. Originality/Value: This paper provides a novel integrated analysis of the convergent impacts of Brain-Computer Interfaces (BCI) and superintelligent AI, a topic previously examined only in isolated disciplinary silos. Its originality lies in applying structured qualitative frameworks (SWOC and ABCD) to systematically explore emergent risks to human agency and identity, while proposing proactive ethical governance models tailored to this hybrid technological future. Type of Paper: Review & Analysis-based exploratory Research.

Introduction: Forensic dentistry is essential for human identification, but traditional manual techniques are often time-intensive and prone to subjectivity. The integration of artificial intelligence (AI) presents a transformative opportunity to enhance accuracy and efficiency across various forensic odontology applications. This systematic review consolidates and analyzes the existing literature on AI applications in forensic dentistry. Materials and Methods: A comprehensive literature search was conducted in the PubMed and Scopus databases following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Studies published up to August 2025 were considered for inclusion. Results: A total of 116 studies were analyzed. The primary applications included age estimation (54 studies), gender estimation (33 studies), and human/dental identification (26 studies). Bite mark analysis (1 study) and facial reconstruction (2 studies) were identified as underexplored areas. Convolutional neural networks (CNNs) were the most frequently employed AI algorithm, utilized in 64% (74/116) of studies, while orthopantomograms (OPGs) were the predominant imaging modality in 72% (84/116) of investigations. Quantitative results demonstrated significant promise: age estimation models achieved a mean absolute error (MAE) as low as 0.0079 years and a peak classification accuracy of 99.98%; gender estimation models attained accuracies between 68% and 98%; and human identification models reached up to 100% accuracy in optimal conditions, though sensitivity dropped to 69% in complex postmortem cases. Emerging techniques, such as microbiome analysis and generative adversarial networks (GANs), were noted as innovative future directions. Conclusion: AI demonstrates significant potential to improve accuracy and reduce processing time in core forensic dentistry tasks, particularly age and gender estimation. However, challenges related to data privacy, algorithmic bias, and legal admissibility persist. Future research should prioritize the development of explainable AI models, standardized and diverse datasets, and robust regulatory frameworks to ensure ethical and trustworthy integration into forensic practice.

Focusing on the films What We do in the Shadows and Twilight, alongside fan performances of hospitality ranging from creative works to bodily modification, this chapter investigates the ways in which the domestic environment of both vampires and humans alike function as a site of hospitality informed by “fannishness” and the attempt to welcome the monstrous into the home. The vampiric home is a liminal space, at once a site of hospitality towards the predator, a place where violence is acceptable and where domestic chores and duties function as a constant drain.

As Artificial Intelligence (AI) advances, businesses benefit from its ability to exponentially enhance process effectiveness and efficiency, while also facing risks related to personal data protection, human dignity, and ultimately, human identity. This article aims to investigate two domains where AI is frequently employed in labor relations: recruitment and employee monitoring. In these areas, the article seeks to discuss aspects that could help clarify the conditions for the legitimate use of AI. A potential application of the ECJ's SHUFA case solution in recruitment is proposed, while the case of Amazon France Logistique is analysed concerning AI-based employee monitoring.

From the perspective of aesthetics and philosophy of media, this text examines various relationships established between film and artificial intelligence. Given the current early stage of development in the application of artificial intelligence in the field of film, the article highlights several crucial points regarding this dialectical relationship. Firstly, it considers the experimental (both technical and artistic) aspects of the integration of film and new advanced technologies operating in the domain of AI. Next, it explores the use of AI tools within the context of cinematography as an industry, and additionally, it delves into the application of artificial intelligence in the realm of digital artistic creativity, whether amateur or professional. Lastly, the text raises questions about the concept of authorship in relation to the collaboration between filmmakers and artificial intelligence, as well as the democratic potential of film production with the assistance of certain AI tools. The entire inquiry is framed within the context of art commodification in the age of capitalism.

A drop in physical activity and a deterioration in the capacity to undertake daily life activities are both connected with ageing and have negative effects on physical and mental health. An Elderly and Visually Impaired Human Activity Monitoring (EV-HAM) system that keeps tabs on a person’s routine and steps in if a change in behaviour or a crisis might greatly help an elderly person or a visually impaired. These individuals may find greater freedom with the help of an EVHAM system. As the backbone of human-centric applications like actively supported living and in-home monitoring for the elderly and visually impaired, an EVHAM system is essential. Big data-driven product design is flourishing in this age of 5G and the IoT. Recent advancements in processing power and software architectures have also contributed to the emergence and development of artificial intelligence (AI). In this context, the digital twin has emerged as a state-of-the-art technology that bridges the gap between the real and virtual worlds by evaluating data from several sensors using artificial intelligence algorithms. Although promising findings have been reported by Wi-Fi-based human activity identification techniques so far, their effectiveness is vulnerable to environmental variations. Using the environment-independent fingerprints generated from the Wi-Fi channel state information (CSI), we introduce Wi-Sense. This human activity identification system employs a Deep Hybrid convolutional neural network (DHCNN). The proposed system begins by collecting the CSI with a regular Wi-Fi Network Interface Controller. Wi-Sense uses the CSI ratio technique to lessen the effect of noise and the phase offset. The t- Distributed Stochastic Neighbor Embedding (t-SNE) is used to eliminate unnecessary data further. The data dimension is decreased, and the negative effects on the environment are eliminated in this process. The resulting spectrogram of the processed data exposes the activity’s micro-Doppler fingerprints as a function of both time and location. These spectrograms are put to use in the training of a DHCNN. Based on our findings, EVHAM can accurately identify these actions 99% of the time.

A reflection on the concept of authorship in academic research. International criteria (ICMJE, CRediT), common conflicts and main ethical guidelines in times of AI (artificial intelligence) to support a fair recognition of scholarly contributions are discussed.

The Postmodern Prometheus: Nature, Technology and Transgender Themes in Jeanette Winterson’s Frankissstein
 This is a trans ecological analysis of the transgender motif in Jeanette Winterson’s novel Frankissstein: A Love Story, a novel abouttranshumanism, artificial intelligence and the human relationships to the body as natureand as technology. I examine how the transgender character in Frankissstein relates to ideas about nature-culture, biology-technology, and mind-body. Drawing from new materialist theory, the essay examines the possibilites of a materialist trans ecology that understands both identitites and bodies as constructed. The essay demonstrates that the transgender character Ry Shelley is a hybrid character, combining male-female, biologytechnology and nature-culture in a single person. While the other major character, Victor Stein, detests the material and wants to become pure mind, the narrator Ry Shelley shows the importance of the body and becomesan illustration of how human identity is not just a discursive construction, but also a biological and technical-material construction. In Frankissstein the transgender character is a defense of the material human being, and an example of how all humans are hybrids.

In this essay, we look at several 21st-century literary pieces through the prism of posthuman philosophy to see how human identity changes with the years. Literature in the modern era provides an important forum for discussing the existential, ethical, and philosophical questions raised by the blurring of human and machine roles brought about by developments in biotechnology, artificial intelligence, and digital technology. The study looks at how tales show hybrid identities mediated by digital technology, which undermines anthropocentric ideologies. The research also uses critical readings of important texts to deconstruct the conventional idea of the independent, rational human subject. The study looks at how literary works depict technologically controlled situations and how these themes are reimagined in terms of agency, embodiment, and awareness. Posthumanist authors like Donna Haraway, N. Katherine Hayles, and Rosi Braidotti's theoretical frameworks are utilized to achieve this.

This research examines the transformation of human personality through the development of technological augmentation within a theological framework, particularly the concept of Imago Dei (the Image of God). In the midst of technological advances such as biohacking, neural augmentation, and artificial intelligence that increasingly shape everyday life, it is crucial to understand the ethical and theological implications of these transformations. This study focuses on how technological augmentation not only alters human physical, cognitive, and emotional capacities but also influences the way individuals perceive themselves in light of the Imago Dei. By employing an interdisciplinary approach that integrates perspectives from theology, ethics, and technology, this research seeks to offer a renewed understanding of how human beings can maintain their identity and dignity as bearers of God’s image in the digital and posthuman era. Through comprehensive literature review and critical analysis, this paper connects technological progress with theological values, thereby broadening insights into the relationship between technology, faith, and human identity.

This article analyzes how modern technologies, including blockchain and artificial intelligence (AI), affect the concept and nature of authority in law. Legal systems have, for most of legal history, deferred to authority based on precedent, meaning that the past decisions of courts uniquely determined outcomes of disputes. However, technologies such as blockchain, which may support peer-to-peer and decentralized networks, which will transform legal decision-making from one of reliance and appeal to precedent to one of approaches, have challenged the current authority of law based on precedent. Whether blockchain provides access to immutable and transparent records of events, which offer decentralized authority that does not rely on intermediaries playing a direct role, or whether AI allows for more efficient and data-driven law, AI also provides ways to consider accountability, bias, and transparency, as well as the limits of understanding what 'transparency' means in the decision-making process. This article will consider not whether modern technologies will replace or supplement the present legal system, but how we will come to define legal authority on protocols and algorithms, rather than past precedent of law. The linear appeal to legal precedent as our understanding of legal authority prompted the need for this examination of modern technologies and the pieces that contribute to the establishment of authority in legal governance, while maintaining the principal values of fairness, accountability, and justice.