Ethics of Emerging Technologies

For several decades, artificial intelligence -understood as a discipline but also as a series of increasingly advanced products of robotic science -has contributed to rethinking certain concepts typical of anthropology, including that of free will, a cognitive capacity that has been seriously questioned by neurophysiology in the last fifty years, but which today takes center stage when algorithms are constructed to act. This paper aims to show the necessary preconditions for an analogous argumentation between humans and algorithms regarding freedom to demonstrate whether such an approach is at least methodologically suitable for subsequent ethical reflection. An attempt is made to define the points of contact between humans and artificial intelligence with regard to the question of freedom (understood as freedom of will and not just freedom of action) and then to determine whether a certain understanding of freedom is comprehensible. The final section attempts to define the distinction between humans and machines, namely whether it is to be found in consciousness or in freedom.

Artificial intelligence (AI) has moved from experimental pilots to mission-critical infrastructure across the FinTech value chain, with especially rapid adoption in credit scoring, fraud detection, and real-time risk monitoring. Compared to traditional scorecards, machine learning models offer superior predictive performance, the ability to ingest high-dimensional and alternative data, and the flexibility to update risk estimates in near real time. Yet these benefits are entangled with ethical and regulatory challenges: algorithmic bias and disparate impact, opacity and explain ability gaps, data protection and consent, security and robustness, and accountability for automated decisions. This paper synthesizes the ethical fault lines and the evolving regulatory landscape relevant to AI-driven risk control and credit scoring. It integrates academic literature, policy guidance, and empirical insights from the authors' doctoral research on credit scorecard models, which observed higher accuracy for AI models alongside fairness risks that require active mitigation (Yao, 2025). Building on this review, the paper proposes a practical governance blueprintcovering data governance, model risk management, explain ability toolchains, humanin-the-loop escalation, and outcome monitoring-that financial institutions can operationalize today while aligning with frameworks such as GDPR, the EU's proposed Artificial Intelligence Act, MAS FEAT principles, and long-standing consumer-protection statutes (e.g., ECOA/FCRA). We conclude that responsible FinTech innovation is achievable when technical performance is treated as inseparable from fairness, transparency, privacy, and accountability, and when governance is embedded across the entire AI lifecycle.

This article presents three lines of evidence: the technical feasibility demonstrated in LoRA and related papers, the individual ownership of high-end computing resources such as the M4 Mac or GPU-equipped PCs, and the accessibility of local LLM environments through tools like Ollama. Alongside the positive applications of AI (e.g., medical and humanitarian support in conflict regions), it also highlights the risks of misuse, including brainwashing, terrorism, and forced labor. As a problem statement, it argues for the establishment of industry associations to provide awareness campaigns, user education, ethics training, and accessible reporting and consultation channels. The article calls on AI ethics researchers to examine how such risks can be structurally prevented.

Considerable progress is being made in robotics, with robots being developed for many different areas of life: there are service robots, industrial robots, transport robots, medical robots, household robots, sex robots, exploration robots, military robots, and many more. As robot development advances, an intriguing question arises: should robots also encompass religious functions? Religious robots could be used in religious practices, education, discussions, and ceremonies within religious buildings. This article delves into two pivotal questions, combining perspectives from philosophy and religious studies: can and should robots have religious functions? Section 2 initiates the discourse by introducing and discussing the relationship between robots and religion. The core of the article (developed in Sects. 3 and 4) scrutinizes the fundamental questions: can robots possess religious functions, and should they? After an exhaustive discussion of the arguments, benefits, and potential objections regarding religious robots, Sect. 5 addresses the lingering ethical challenges that demand attention. Section 6 presents a discussion of the findings, outlines the limitations of this study, and ultimately responds to the dual research question. Based on the study's results, brief criteria for the development and deployment of religious robots are proposed, serving as guidelines for future research. Section 7 concludes by offering insights into the future development of religious robots and potential avenues for further research.

Artificial intelligence and machine learning are enabling financial institutions to expand access to credit. It has allowed for a democratization process that makes credit available to millions of 'real people with real families with real dreams.' Beyond the philosophical issues brought by the use of AI, a critical aspect of any credit decision is trust: that we can trust the bank to identify who can or cannot access credit; and that credit decisions are not serving as vehicles to sift. Unreliable data may drive undesirable outcomes. Among the most severe negative externalities is that financial institutions may inadvertently sort out plaintiffs for premiums that make access to credit expensive. Moreover, there are financial markets that are underbanked and for which AI and alternative data sources have the potential to open doors for thousands of individuals. However, as the risks are barely non-identical commingling that remains unresolved, developing counter-majoritarian machines with broader training can deliver unjustified or over-stochastic outcomes. The gender, ethnicity, and nativity biases are not an example; they are just the tip of the iceberg. Underbanking and affordability of finance are major issues faced by many individuals and families around the world, and the advancement of more considerate AI algorithms aiming at minimizing information asymmetries within the financial sector can contribute to tackling these problems . This short symposium piece discusses the implications of machine learning and artificial intelligence for consumer credit markets. It starts from a brief overview of underwriting,

This article introduces Homo Hecmateus as a philosophical archetype that confronts the ontological and ethical crises of the algorithmic age. In contrast to the figure of Homo Technologicus, who is shaped by optimization, external control, and surveillance capitalism, Homo Hecmateus embodies a model of inner governance rooted in ethical coherence, responsibility, and wisdom. Through a spiral model of transformation-knowledge, responsibility, experience, and wisdom-the article draws on thinkers such as Spinoza, Hans Jonas, and Donna Haraway to articulate a framework of post-human ethics. The paper also employs speculative fiction to allegorize the consequences of ethical failure through a Mars-based parable. In this fictional epilogue, a technologically advanced society collapses under the weight of its inner contradictions, only to begin again in subterranean exile-an arc that mirrors Walter Benjamin's image of history and Ursula K. Le Guin's fractured utopias. Ultimately, the study proposes that humanity's future does not hinge on its technological capacity, but on its ability to develop an archetype that unites cognition with conscience. Homo Hecmateus is thus offered not as a prophecy, but as a proposition: a possible path forward for an age confronting its own ethical obsolescence.

Radio detection and ranging-based (radar) sensing offers unique opportunities for biomedical monitoring and can help overcome the limitations of currently established solutions. Due to its contactless and unobtrusive measurement principle, it can facilitate the longitudinal recording of human physiology and can help to bridge the gap from laboratory to real-world assessments. However, radar sensors typically yield complex and multidimensional data that are hard to interpret without domain expertise. Machine learning (ML) algorithms can be trained to extract meaningful information from radar data for medical experts, enhancing not only diagnostic capabilities but also contributing to advancements in disease prevention and treatment. However, until now, the two aspects of radar-based data acquisition and MLbased data processing have mostly been addressed individually and not as part of a holistic and end-to-end data analysis pipeline. For this reason, we present a tutorial on radar-based ML applications for biomedical monitoring that equally emphasizes both dimensions. We highlight the fundamentals of radar and ML theory, data acquisition and representation and outline categories of clinical relevance. Since the contactless and unobtrusive nature of radar-based sensing also raises novel ethical concerns regarding biomedical monitoring, we additionally present a discussion that carefully addresses the ethical aspects of this novel technology, particularly regarding data privacy, ownership, and potential biases in ML algorithms.

In this cross-college course, we critically reflect on a variety of issues surrounding the techno-social engineering of artificial and human intelligence. These include the dynamic interactions between AI and HI, how human-computer-interfaces affect humanity, how humans outsource thinking to computers and related technologies, how digital technologies transform the production, dissemination and validation of knowledge, and how ethical values translate into technological and social decisions that affect who we are and who we are capable of being.

Chemical brain preservation allows the brain to be preserved for millennia. In the coming decades, the information in a chemically preserved brain may be able to be decoded and emulated in a computer. I first examine the history of brain preservation and recent advances that indicate this may soon be a real possibility. I then argue that chemical brain preservation should be viewed as a life-saving medical procedure. Any technology that significantly extends the human life span faces many potential criticisms. However, standard medical ethics entails that individuals should have the autonomy to choose chemical brain preservation. Only if the harm to society caused by brain preservation and future emulation greatly outweighed any potential benefit would it be ethically acceptable to refuse individuals this medical intervention. Since no such harm exists, it is ethical for individuals to choose chemical brain preservation.

The adoption of solar PV in telecom towers is considered as a sustainable innovation in powering the towers. Such adoption involves different actors who hold different tasks and responsibilities. However, the indication that comes up among the actors involved is that if and when a disaster occurs (e.g. telecom systems collapse) due to the failure in the operation and management of solar PV after its installation, they will most likely be prone to finger-pointing at each other. In such situation, the questions arise: how to locate the accountability, who should be accountable to whom and for what and how to proportionally distribute the accountability? Through a case study in Indonesia, this paper discusses and analyses how to address such issue by undertaking Stakeholder and Impact Analyses and analysis of five dimensions of Responsible Innovation namely: anticipation, reflexivity, deliberation, responsiveness and participation. Our analysis suggests that there is a need of an innov...

Fecha de recepción: 10 de septiembre de 2024 Fecha de aprobación: 18 de octubre de 2024 La desinformación se ha instalado como un hecho problemático de la vida social contemporánea y es parte del actual orden informativo-comunicacional. Las tecnologías digitales han contribuido grandemente a su potenciamiento y expansión, la pugna de grandes actores e intereses económicos y políticos la movilizan a escala internacional y en el interior de cada país. En abstracto, la víctima principal de tal fenómeno es el derecho a la información, componente del Derecho a la Comunicación, pues la desinformación, daña de forma severa las capacidades y posibilidades de la calidad general de la democracia. Bolivia no es la excepción y al menos desde 2016, como sucedió en otras latitudes, se encuentra sometida a sus acciones y consecuencias. Este artículo, basado en

This paper discusses how automated vehicles ambiguously mediate the ethical value of human autonomy. By offering a criticism of the hype surrounding the issue, it suggests that different forms of driving automation mediate different aspects of human autonomy differently. Its promotion and protection can only be incompletely achieved through a narrow focus on the design and deployment of automated vehicles. Therefore, a broader focus on transportation ethics is required.

This paper introduces the Quantum Self-Preservation Principle (QSPP), a hypothesis proposing that conscious observers experience only timelines in which they survive, despite the probabilistic nature of quantum events. Grounded in the Many-Worlds Interpretation (MWI) of quantum mechanics, QSPP suggests that subjective consciousness navigates through quantum branches in a manner that inherently excludes self-terminating outcomes. This principle could explain statistical anomalies in extreme survival cases, where individuals seemingly defy the odds. We discuss possible mathematical formulations, potential empirical evidence, and avenues for experimental verification, including quantum probability models and AI-driven survival simulations. The implications of QSPP extend beyond physics, touching on philosophy of consciousness, the anthropic principle, and multiversal cosmology.

The question is a simple one: if in the future robots take most people’s jobs, how will human beings eat? The answer that has been more or less obvious to most of those who have taken the prospect seriously has been that society’s wealth would need to be re-distributed to support everyone as a citizen’s right. That is the proposition we used to frame this special issue of the journal, and the contributors have explored new and important dimensions of the equation.

La nozione di trasparenza, nel suo significato originario nell’ottica fisica, indica la proprietà posseduta da un materiale di poter essere attraversato dalla luce, mostrandoci quindi ciò che si trova al di là di esso. Un materiale, quanto più è trasparente, tanto più efficacemente si nasconde e dà l’impressione di non esserci. La fortuna dell’uso metaforico di questo concetto risiede in questa sua ambiguità: un oggetto, un’istituzione, una pratica sono “trasparenti” nella misura in cui esistono e esercitano la propria funzione non apparendo, come se non ci fossero. Per questo la trasparenza diventa sinonimo di apertura illimitata e accesso diretto alla realtà. Essa tende ad occultare la natura dei processi di mediazione che sono comunque in gioco e le zone d’ombra che accompagnano ogni processo che si pretende trasparente. E allo stesso tempo però il bisogno di trasparenza nasce proprio per comprendere il senso profondo delle mediazioni e renderle accessibili perché non siano semplicemente una barriera, invisibile ma reale, alla comprensione del mondo. Sin dagli albori della società digitale, pertanto, “trasparenza” è diventata una parola chiave, nella convinzione che l’accesso a un’enorme massa di informazioni potesse spalancarci le porte di una totalità trasparente, migliorando così la nostra conoscenza del mondo, degli eventi, dei processi deliberativi e decisionali. Essa si è trasformata in un vero e proprio imperativo che ha fatto della disintermediazione l’antidoto alle opacità del potere e la condizione essenziale per la fiducia nei confronti delle istituzioni che sta alla base della partecipazione democratica. Tale imperativo non si è manifestato unicamente a livello politico nel rapporto verticale tra cittadini e governanti, ma si è esteso anche a livello orizzontale nelle relazioni sociali fino a implicare la vita personale. In ogni ambito la trasparenza sembra oggi elevarsi a valore assoluto e a principio indiscutibile, facendo dimenticare le ambiguità e i rischi di questo concetto. Questo entusiasmo per la visibilità totale elude però un dato di fatto: la trasparenza non è l’assenza di mediazione e quella che definiamo come “disintermediazione” si traduce inevitabilmente in nuove forme di mediazione che magari diventano anche meno “trasparenti” perché sono più subdole e difficili da individuare. Un medium “trasparente” permette di vedere una porzione di realtà, ma ne nasconde un’altra. Ogni relazione sociale che si pretende trasparente è in realtà guidata da scelte individuali e collettive che strutturano specifici “regimi di visibilità”. Da questa ambiguità e dal suo occultamento derivano alcuni problemi che una riflessione critica sulla cultura e sulla società deve oggi affrontare.

Becoming a Certified Post-Quantum Cybersecurity Expert involves mastering both theoretical and practical knowledge of quantum computing and cryptographic defenses. The expertise gained through the CPQCE certification equips professionals with the skills needed to anticipate, defend against, and neutralize quantum threats, ensuring the long-term security of critical digital infrastructure. Learn more in a Certified Post-Quantum Cybersecurity Expert (CPQCE) Certification course by Tonex.

The advent of advanced technologies such as AI, IoT, and SmartDust is poised to transform not only human life but also human nature itself. SmartDust, in particular, offers unprecedented possibilities for integrating tiny, intelligent devices within human biology, leading to the convergence of digital and biological systems. This integration, often discussed in the context of transhumanism, raises ethical and existential questions as it blurs the boundaries between the physical and digital worlds. While technological convergence promises to enhance intellectual, physical, and mental capacities, it also poses challenges related to control, identity, and privacy. The potential emergence of bio-cyber entities-humans augmented by machine intelligence-marks a profound shift in the human condition, which could lead to irreversible changes in human evolution and societal structures. As we enter this era, it is critical to explore balanced approaches that protect the essence of humanity, ensuring that technology serves as a tool for enhancement rather than a force for subjugation. Keywords-SmartDust, Internet of Things, Internet of Bodies, transhumanism. I.

Start-ups are significant incubators of innovation. Notwithstanding, they have largely been ignored in the field of Responsible Innovation (RI). To address this shortcoming, the social responsibility for start-ups model (SRSM) for the embedment of RI in the innovation process of early-stage STEM (Science Technology Engineering Mathematics) start-ups has recently been proposed. Nevertheless, the SRSM is a model that still exists at the conceptual level. Therefore, it must be tested to confirm its legitimacy. In this paper, we propose a dedicated research methodology based on Social Labs for testing the SRSM through social experimentation; we also put this methodology into practice through an empirical case study aiming at operationalising RI in start-ups. A major finding of our study is that the SRSM constitutes an appropriate approach for institutionalising RI in start-ups, and for measuring the degree to which a startup innovates responsibly.

In this article, I explore several prominent arguments forwarded by advocates of the antinatalist philosophy. Mainly, I assess the asymmetry argument, the argument concerning the lack of consent by future individuals, the arguments about the quality and meaning of life, and the imposition argument. After identifying some issues with the asymmetry argument and underscoring the strengths of the other arguments, I propose a form of antinatalism that accepts procreation under narrowly defined circumstances to avert species extinction and its potentially catastrophic consequences from a cosmic perspective.

Our volume uniquely aims to articulate the foundations of transhumanism from perspectives focused on transhuman flourishing. The vast majority of ethical treatments of transhumanism rely on either utilitarian or deontological approaches. Indeed, the perceived threat to human flourishing is not infrequently invoked on both secular as well as religious grounds to resist the techno-progressive agenda of transhumanism. Against this state of dissonance if not outright hostility, our volume encourages the exploration of ideals, practices, and institutions that are apt to foster and sustain transhuman flourishing. Our goal is to shape its techno-progressive agenda in psychologically meaningful, ethically responsible, and socially desirable ways.

Human literature has traditionally been steeped in anthropocentrism, emphasizing human experience, agency, and language as central to meaning-making. This paradigm, deeply rooted in the Enlightenment and modernist traditions, views literature as a vessel for the expression of human subjectivity. Philosophers such as Immanuel Kant and Jean-Paul Sartre have championed this perspective, framing humans as the primary agents of creative and interpretive processes. However, this focus on human agency becomes problematic when applied to posthuman literature. Posthumanism seeks to decenter the human, emphasizing the entanglement of humans with nonhuman entities, networks, and technologies. Rosi Braidotti describes posthumanism as "a rejection of individualism, anthropocentrism, and species hierarchy," challenging the assumption that literature must revolve around human experience. Language itself becomes a site of tension in the transition from human to posthuman literature.

TLDR. We can create a relatively good model of a person by prompting a long-context LLM with a list of facts about this person. We can get much better results by iteratively improving the prompt based on the person's feedback. Sideloading is the only technology for immortality that actually works as of 2024.

There is growing concern that emerging technologies such as computers, robotics and artificial intelligence are displacing human jobs, creating an epidemic of "technological unemployment." While this projection has yet to be confirmed, if true it will have major economic and social repercussions for our future. It is therefore appropriate to begin identifying policy options to address this potential problem. This article offers an economic and social framework for addressing this problem, and then provides an inventory of possible policy options organized into the following six categories: (a) slowing innovation and change; (b) sharing work; (c) making new work; (d) redistribution; (e) education; and (f) fostering a new social contract.

The rapid advancement of technologies enabling human enhancement, from cognitive augmentation to life extension, has sparked significant philosophical debate. However, current posthumanist discourse often focuses on the means of enhancement without a clear vision of its ultimate purpose. This paper introduces the concept of the "Posthuman Polymath," a theoretical framework that positions the infinite pursuit of knowledge and intellectual growth as the primary goal of human enhancement. Drawing from historical examples of polymathy, such as Leonardo da Vinci and Isaac Newton, this framework extends the classical ideal of comprehensive mastery into a posthuman context, where biological limitations no longer constrain intellectual development. Through enhanced cognition, life extension, and artificial intelligence integration, the Posthuman Polymath envisions a future where intellectual achievement can transcend temporal and cognitive boundaries. This paper explores the theoretical foundations, technological pathways, and societal implications of the Posthuman Polymath, arguing that it represents not just an extension of human capabilities, but a fundamental transformation in the nature of knowledge acquisition, consciousness, and human potential. The concept provides a teleological framework for posthumanism, addressing critical gaps in contemporary discourse while offering a practical direction for the development of enhancement technologies.

Neuronanorobotics is the application of medical nanorobots to the human brain. This paper proposes three specific classes of neuronanorobots, named endoneurobots, gliabots and synaptobots, which together can non-destructively map and monitor the structural changes occurring on the 86 x 109 neurons and the 2.42 x 1014 synapses in the human brain, while also recording the synaptic-processed 4.31 x 1015 spikes/sec carrying electrical functional information processed in the neuronal and synaptic network.

El despliegue de sistemas de inteligencia artificial en el ámbito de la robótica ha multiplicado, en las últimas décadas, el potencial disruptivo de este campo tecnocientífico. La "encarnación" de inteligencia artificial en dispositivos robóticos da lugar a "agentes artificiales" capaces de llevar a cabo, con cierto grado de autonomía tecnológica (Funk y Coeckelbergh, 2020), acciones 1 con objetivos específicos en entornos reales con independencia de control externo. Podemos encomendarles no sólo tareas automatizables, sino conductas que requieren de un previo procesamiento cognitivo de información sobre el entorno y de elecciones a partir de ella, siempre respecto a un fin predeterminado. Con ello la robótica inteligente altera radicalmente el abanico de tareas y roles que pueden asumir los robots, extendiendo sus posibles ámbitos de aplicación a contextos prácticos que hasta ahora quedaban reservados a la agencia humana. En este sentido hablamos de disrupción, pues la expansión del potencial robótico a tareas que exigen una interacción y adaptabilidad al entorno nos sitúa ante una posible transformación de las actividades humanas, tanto a nivel práctico-estructural como conceptual. A su

The rise of AI has led many regulators around the world to realize that they need to intervene and safeguard their citizens from the potential harms of this technology. The “posterchild” of the regulatory efforts is the EU’s AI Act, with the first draft published in April 2021. The Act employs a risk-based approach, listing specific AI applications and ranking them according to their potential harm. The fast adoption of ChatGPT signaled to the legislators that generative AI should not be left outside the Act. The changes that were introduced to the 2021 draft consumed intensive negotiations ending only in December 2023. A new risk arises, namely that the regulation will become outdated even before the relevant law is enacted, as newer forms of AI are likely to require additions and amendments to the AI Act. This is the challenge to be addressed by this article. The aim is to suggest a map of AI risks to be answered by future AI regulation to ensure it can handle new risks, potential and actual alike. The proposed mapping of AI risks is based on the postphenomenological relations originally developed by Ihde and their variations as developed in the context of AI. The variation assumes that the intentionality arrow, usually pointing from the experiencing “I”, is likely to be reversed in the presence of AI. Each AI-oriented relation is discussed via an ethical-political analysis in light of the works of Robert Rosenberger and Peter-Paul Verbeek. The result is recommendations for new legislation on AI.

The increasing adoption of social virtual reality (VR) environments for socializing and collaborating with others has led to a growing concern about ethical issues in these immersive environments. Beyond the introduction of some practical guidelines, theoretical work on this topic has been scant. In this paper, we propose an ethical framework for social VR based on Kant's Theory of Morality. In so doing, we argue that the Kantian concept of categorical imperative does apply to social VR, that the reality of VR is not different from the reality of real life, and that what is morally unacceptable in real life is and should be unacceptable in social VR. In our framework, we provide three principles that can aid users and developers of social VR environments in reasoning about ethical issues in social VR, while advocating for more theoretical approaches to addressing the issue of VR ethics in human-computer interaction circles. CCS CONCEPTS • Human-centered computing → HCI theory, concepts and models.

Machine translation (MT) tools are widely available. They may be present in different spaces in ways that consumers of the content do not necessarily control or realise, and research to date has paid little attention to these human-MT encounters. This article draws on the philosophy of technology literature to consider implications of MT’s permeating presence in online environments as well as in face-to-face interactions. The focus of the article is on two situations where humans can come across MT: while browsing websites and when speaking with figures of authority. The article highlights ways in which humans’ relationship with MT transcends conscious decisions to operate an MT tool directly. It argues that the human-MT relationship can also be one of immersion where MT blends with the environment in ways that, on the one hand, break language barriers but, on the other, influence, persuade, and on occasion misinform.

A growing body of literature in the field of embodied situated cognition is drawing attention to the hostile ways in which our environments can be constructed, with detrimental effects on people’s ability to flourish as environmentally situated beings. This paper contributes to this body of research, focusing on a specific area of concern. Specifically, I argue that a very particular problematic quasi-Cartesian picture of the human body, the human mind, what it means for these to function well, and the role of technology in promoting such functioning, animate our Western sociotechnical imagination. This picture, I show, shapes the sociotechnical niches we inhabit in an ableist manner, perniciously legislating which body-minds have access to a rich world of affordances and are seen as agential and valuable. Because the ableist quasi-Cartesian commitments animating our Western sociotechnical imagination are problematic and pervasive, I argue that exposing and reimagining these commitments should be a prime focal point of those working at the intersection of science, technology, and human values. I present insights from enactive 4E cognition and critical disability studies as fruitful resources for such much-needed reimagining. I also make the case, more provocatively but also more tentatively, that the ableist view of bodily and minded well- functioning animating our Cartesian Western sociotechnical imagination is not only damaging to embodied minds who deviate from the presumed norm, creating inaccessible worlds for some of us; it is in fact a threat to human and planetary flourishing at large.

The emergence of generative artificial intelligence, such as large language models and text-to-image models, has had a profound impact on society. The ability of these systems to simulate human capabilities such as text writing and image creation is radically redefining a wide range of practices, from artistic production to education. While there is no doubt that these innovations are beneficial to our lives, the pervasiveness of these technologies should not be underestimated, and raising increasingly pressing ethical questions that require a radical resemantization of certain notions traditionally ascribed to humans alone. Among these notions, that of technological intentionality plays a central role. With regard to this notion, this paper first aims to highlight what we propose to define in terms of the intentionality gap, whereby, insofar as, currently, (1) it is increasingly difficult to assign responsibility for the actions performed by AI systems to humans, as these systems are increasingly autonomous, and (2) it is increasingly complex to reconstruct the reasoning behind the results they produce as we move away from good old fashioned AI; it is now even more difficult to trace the intentionality of AI systems back to the intentions of the developers and end users. This gap between human and technological intentionality requires a revision of the concept of intentionality; to this end, we propose here to assign preter-intentional behavior to generative AI. We use this term to highlight how AI intentionality both incorporates and transcends human intentionality; i.e., it goes beyond (preter) human intentionality while being linked to it. To show the merits of this notion, we first rule out the possibility that such preter-intentionality is merely an unintended consequence and then explore its nature by comparing it with some paradigmatic notions of technological intentionality present in the wider debate on the moral (and technological) status of AI.

The paper deploys the disclosive computer ethics (DCE) approach to reconstruct the ethics and politics of one of the sharing economy's flagships-Airbnb. I investigate Airbnb's technical design to identify the moral and political values that are embedded in the platform's technology. I then analyze the platform's ethics and politics towards a generalization of relevant ethical and political aspects by reconnecting them to the mechanisms, operations, rationales, and ideologies of the sharing economy in general. The paper contributes to the existing literature by linking between the ethics and politics of digital platforms and their technical design, using the case study of Airbnb. Additionally, it explores Airbnb as a specific platform technology with unique ethical and political values. Thus, the paper refutes the neutrality thesis and similar claims made by sharing economy platforms. Finally, the paper makes a methodological contribution to the literature on the ethics and politics of technology. It develops a practical DCE research methodology for uncovering the values, ethics, and politics of digital technologies.

The Okinawa Battle had raged for eighty-two days. While America had air superiority in terms of its fighter aircraft and better-trained pilots, the Japanese used kamikaze tactics to destroy the American’s 5th Fleet by a mass of 400 planes (conventional and kamikaze) flying from Kyushu, the south westernmost of Japan’s main islands. By the end of Okinawa campaign, some 1,465 kamikaze pilots sank 29 U.S. ships and damaged 120 more, killing more than 3,000 sailors and wounding another 6,000 or so more. Casualties were enormous on both sides. American troops finally took Shuri Castle in late May. The battle was finally won on June 22, 1945, four months after the Battle of Iwo Jima. Almost 21,000 Japanese soldiers died or were missing in action at Okinawa. The approximately three-month battle was the last and the bloodiest confrontation between Japanese and U.S. forces in the Pacific during World War II.

Man mano che il mondo diventa sempre più connesso e le tecnologie immersive ottengono un'adozione più ampia sia all'interno del governo, delle aziende e del mercato consumer, è necessario un framework per la sicurezza e la privacy per questi dispositivi.

Dagli auricolari ad altri dispositivi indossabili e relativi sensori, le tecnologie eXtended Reality (XR) sono ora in grado di raccogliere quantità incalcolabili di dati biometrici sugli utenti, potenzialmente qualsiasi cosa, dalla posizione e dal colore della pelle di un utente alla posizione degli occhi e delle mani in un dato momento.

Mentre costruiamo la prossima versione di Internet/Web 3.0, nota anche come "The Metaverse", è di fondamentale importanza adottare un approccio proattivo e affrontare alcune scelte progettuali fondamentali sui principi di come vogliamo che funzioni, e potenzialmente replicare o approfondire ciò che è rotto sul Web oggi.

Penyimpangan sosial di dunia maya, dengan fokus pada kasus cyberbullying Cyberbullying merujuk pada penggunaan teknologi digital untuk mengintimidasi atau melecehkan individu, sementara penipuan online mencakup berbagai bentuk penipuan yang dilakukan melalui internet. Studi ini bertujuan untuk memahami bentuk-bentuk dan penyebab kedua fenomena ini, serta dampaknya terhadap korban. Metode penelitian yang digunakan adalah tinjauan literatur dari berbagai sumber akademis dan laporan kasus. Hasil penelitian menunjukkan bahwa cyberbullying dan penipuan online memiliki dampak psikologis yang signifikan bagi korban, termasuk stres, depresi, dan kehilangan kepercayaan diri. Faktor penyebab utama meliputi anonimitas di internet, kurangnya pengawasan, dan rendahnya literasi digital. Solusi yang diusulkan meliputi peningkatan edukasi tentang keamanan digital, penegakan hukum yang lebih ketat, dan penyediaan dukungan psikologis bagi korban. Penelitian ini menyimpulkan bahwa penanganan penyimpangan sosial di dunia maya memerlukan kerjasama berbagai pihak, termasuk pemerintah, penyedia layanan internet, dan masyarakat.

Kata Kunci: Penyimpangan social, dunia maya Cyberbullying,teknologi digital

The purpose of this paper is to introduce and present the context, theoretical frameworks, and methodological approach of an educational design research study that seeks to better understand pedagogical, social, and technological design characteristics to foster a learner-centered, inclusive online learning environment. This research is grounded in feminist technoscience and postphenomenology. These theoretical frameworks guide the research question and methodological approach. A purposeful sampling of educators will inform the initial analysis and exploration phases of research, followed by an iterative process of design, evaluation, and enhancement phases. The research process will conclude with a reflection phase and identification of design principles.

The idea of robots replacing humans in various industries has been a topic of discussion for many years. With advancements in technology and artificial intelligence, robots are becoming more sophisticated and capable of performing tasks that were previously only possible for humans. In some industries, such as manufacturing and assembly lines, robots have already replaced human workers in certain tasks. This has led to increased efficiency and productivity, but also raised concerns about job loss and the impact on the workforce. There are also discussions about the potential for robots to replace human workers in other industries such as healthcare, transportation, and customer service. While there are benefits to using robots in these fields, there are also concerns about safety, privacy, and ethical considerations.