Journal of responsible technology最新文献

{"title":"Ethical and psychological implications of generative AI in digital afterlife technologies: A systematic literature review on responsible inclusive innovation","authors":"Mariyono Dwi","doi":"10.1016/j.jrt.2025.100136","DOIUrl":"10.1016/j.jrt.2025.100136","url":null,"abstract":"<div><div>Rapid advances in generative artificial intelligence (GenAI) have given birth to digital afterlife technologies (DeathTech), which enable the preservation of the voices, memories, and personalities of deceased individuals. This study is a systematic review of 45 scientific articles (2020–2025) using a thematic-SWOT analysis approach and the Responsible Inclusive Innovation (RII) framework, to explore how cultural schemas, inclusive design, and governance models influence the acceptance of DeathTech across cultures. Key findings suggest that ritual adaptation and spiritual meanings are critical to the acceptance of this technology. Jewish and Japanese communities show high acceptance through cultural integration, while Hindu and Luhya communities experience ontological dissonance. Design failures such as linguistic exclusion and ritual incongruence impact marginalized groups. In addition, regulatory gaps exist, especially in post-death privacy protection and algorithmic bias. This study proposes a triadic framework for the development of ethical and equitable DeathTech: cultural mediation, inclusive design, and pluralistic governance. This contribution enriches the study of digital thanatology and provides recommendations for culturally and socially sustainable innovation.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"24 ","pages":"Article 100136"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Community, Identity & Stability? Building Trust in Facial Recognition Systems for Mass Surveillance","authors":"Gabriela Beltrão,&nbsp;Sek Teng Goh,&nbsp;Sonia Sousa,&nbsp;David Lamas","doi":"10.1016/j.jrt.2025.100139","DOIUrl":"10.1016/j.jrt.2025.100139","url":null,"abstract":"<div><div>Facial recognition systems for mass surveillance (FRMS) are increasingly utilized worldwide, employing biometric technology and artificial intelligence to address security concerns. Despite the wide adoption of human-centric frameworks in Human-Computer Interaction (HCI), the unique challenges posed by FRMS are often overlooked due to the absence of direct interaction with individuals. This paper reports on a mixed-methods exploratory study investigating the factors that affect Singaporeans’ propensity to trust these systems, highlighting the importance of considering aspects beyond traditional HCI frameworks. The findings from the empirical study reveal how cultural and contextual factors shape citizens’ trust, underscoring the necessity of adopting a wider-encompassing perspective when implementing and managing this nonstandard technology to balance individual and social advancements.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"24 ","pages":"Article 100139"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145321232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empowering stuttering female English learners: AI vs. human-AI hybrid tutoring for alleviating social anxiety","authors":"Mohsen Mahmoudi-Dehaki ,&nbsp;Nasim Nasr-Esfahani","doi":"10.1016/j.jrt.2025.100141","DOIUrl":"10.1016/j.jrt.2025.100141","url":null,"abstract":"<div><div>This study compared the effects of AI and human-AI hybrid tutoring on stuttering severity (i.e., frequency and duration of stuttered syllables) and social anxiety symptoms (i.e., fear of negative evaluation, avoidance behavior, and physiological symptoms) of female English learners. Besides, the participants' perceptions regarding the implemented approaches were explored. First, a quasi-experimental study was conducted for 92 stuttering female English learners with social anxiety to compare the effects of interventions using the Computerized Scoring of Stuttering Severity and Social Phobia Inventory. Then, focus group interviews were conducted with 24 participants to gain insights into the results. The findings revealed that AI tutoring significantly enhanced conditions of stuttering and social anxiety compared to insignificant effects of human-AI hybrid tutoring due to the potential advantages of AI in maintaining confidentiality, encouraging risk-taking, providing non-judgmental feedback, and offering unbiased interpretations. This study benefits inclusive language education, therapeutic pedagogy, intelligent tutoring systems, and educational psychology.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"24 ","pages":"Article 100141"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decoding cybersecurity discourse and communication dynamics in financial institutions","authors":"Justin Davis ,&nbsp;Surender Maddini ,&nbsp;Swamy Kankala ,&nbsp;Renjith Kathalikkattil Ravindran ,&nbsp;Mohan Kunkulagunta ,&nbsp;Mohan Harish Maturi ,&nbsp;Geeta Sandeep Nadella ,&nbsp;Elyson De La Cruz","doi":"10.1016/j.jrt.2025.100142","DOIUrl":"10.1016/j.jrt.2025.100142","url":null,"abstract":"<div><div>This study examines human discourse of cybersecurity in financial institutions and how simple words that are used to talk about threats can either bring a team together or create a division among them. In-deprivation interviews of twelve professionals (technical experts and frontline staff) we found that there is a common theme people have a tremendously different way of thinking about risk. Technical specialists use the terms of the so-called zero-day attacks and DLP controls, and their non-technical co-workers are preoccupied with the issue of the ruined reputation and financial loss. This language barrier poses a barrier to a consistent defense. In our results, we find that communication strategies that help to bridge this gap are the most effective ones. Simulations in training are interactive and thus can create engagement, and too technical and passivity can be frustrating. Finally, the culture and apparent dedication of the leaders of the organization are also vital. A culture of collective responsibility and positive reinforcement will enable a culture of leadership to strike a balance between the required technical action and the ultimate objectives of the business. This study provides a new angle to the already established theory by showing that language in itself is a strong influence in determining the way individuals opt to escape threats. To financial institutions this translates to the fact that simple, focused communication is not just a soft skill, but a strategic necessity. Although the insights of the study were obtained based on a narrow focus group of the U.S. financial industry, the profound and comparative analysis of their discussions offers a rich, legitimate comprehension of meaning and responsibility construction using ordinary words. This study reached theoretical saturation in twelve interviews that were carried out in financial institutions and then analyzed within-role and then comparatively. The sample has high information power and interpretive validity in discourse analysis that is concerned with language and meaning construction as opposed to population representation.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"24 ","pages":"Article 100142"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relational & culture-sensitive AI innovation","authors":"Christian Herzog","doi":"10.1016/j.jrt.2025.100135","DOIUrl":"10.1016/j.jrt.2025.100135","url":null,"abstract":"<div><div>In this article, I argue that responsibly developing artificial intelligence (AI) solutions necessitates a deep understanding of the cultural landscapes involved. Especially considering AI's universalistic tendencies, varying, possibly conflicting interests, values, and epistemes require special consideration. I advocate for a cultural sensitivity that aligns with a relational ethics perspective to address power asymmetries, empower marginalized groups, and recognize epistemic privileges. By laying out how technology pervades cultures, I contribute to the case for a culturally informed approach to ethics that empowers individuals to autonomously transform (or conserve) cultures. I then discuss a structural integration of cultural studies into the training and practices of technology and AI engineers and officers. By discussing relational ethics as intimately tied to a culturally sensitive approach to technology development, I join proponents of a closer collaboration between ethics and cultural studies that can yield insights and methodologies that respect diverse cultural contexts and challenge the primacy of disruptive innovation.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"23 ","pages":"Article 100135"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144888800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Embedding ethical and legal principles in AI-driven clinical practice: two use cases in laboratory diagnostics","authors":"Marieke A.R. Bak ,&nbsp;Martijn C. Schut ,&nbsp;M. Corrette Ploem","doi":"10.1016/j.jrt.2025.100133","DOIUrl":"10.1016/j.jrt.2025.100133","url":null,"abstract":"<div><div>This interdisciplinary paper explores the ethical-legal aspects of artificial intelligence (AI) in medicine. We first describe our ‘Embedded Ethics’ approach which entailed collaboration between an ethicist, legal scholar and AI specialist, and provide a brief overview of AI and the relevant European ethical-legal context. We then identify and analyse ethical and legal issues in clinical AI using two cases from the field of laboratory diagnostics: AI systems in newborn screening and for diagnosing Alzheimer's disease. These use cases reveal key concerns at each of the five phases of AI development and implementation. For every phase, we outline core ethical-legal principles and formulate guiding questions for developers. Concerns include fundamental questions about desirability and proportionality, AI-specific challenges like explainability and bias, and broader issues of shared decision-making and professional responsibility. We conclude with reflections on future challenges for clinical applications of AI systems and interdisciplinary research in this area.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"23 ","pages":"Article 100133"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soft law for unintentional empathy: addressing the governance gap in emotion-recognition AI technologies","authors":"Andrew McStay ,&nbsp;Vian Bakir","doi":"10.1016/j.jrt.2025.100126","DOIUrl":"10.1016/j.jrt.2025.100126","url":null,"abstract":"<div><div>Despite regulatory efforts, there is a significant governance gap in managing emotion recognition AI technologies and those that emulate empathy. This paper asks: should international soft law mechanisms, such as ethical standards, complement hard law in addressing governance gaps in emotion recognition and empathy-emulating AI technologies? To argue that soft law can provide detailed guidance, particularly for research ethics committees and related boards advising on these technologies, the paper first explores how legal definitions of emotion recognition, especially in the EU AI Act, rest on reductive and physiognomic criticism of emotion recognition. It progresses to detail that systems may be designed to intentionally empathise with their users, but also that empathy may be unintentional – or effectively incidental to how these systems work. Approaches that are non-reductive and avoid labelling of emotion as conceived in the EU AI Act raises novel governance questions and physiognomic critique of a more dynamic nature. The paper finds that international soft law can complement hard law, especially when critique is subtle but significant, when guidance is anticipatory in nature, and when detailed recommendations for developers are required.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"23 ","pages":"Article 100126"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Participatory research in low resource settings - Endeavours in epistemic justice at the Banyan, India","authors":"Mrinalini Ravi ,&nbsp;Swarna Tyagi ,&nbsp;Vandana Gopikumar ,&nbsp;Emma Emily de Wit ,&nbsp;Joske Bunders ,&nbsp;Deborah Padgett ,&nbsp;Barbara Regeer","doi":"10.1016/j.jrt.2025.100123","DOIUrl":"10.1016/j.jrt.2025.100123","url":null,"abstract":"<div><div>Involving persons with lived experience in knowledge generation through participatory research (PR) has become increasingly important to challenge power structures in knowledge production and research. In the case of persons with lived experiences of mental illness, participatory research has gained popularity since the early 70 s, but there is little empirical work from countries like India on how PR can be implemented in psychiatric settings.</div><div>This study focuses on exploring the way persons with lived experiences of mental illness can be engaged as peer researchers in a service utilisation audit of The Banyan’s inpatient, outpatient and inclusive living facilities. The audit was an attempt by The Banyan to co-opt clients as peer-researchers, thereby enhancing participatory approaches to care planning and provision. Notes and transcripts of research process activities (three meetings for training purposes), 180 interviews as part of the audit, as well as follow up Focus Group Discussions (<em>n</em> = 4) conducted with 18 peer researchers, were used to document their experiences and gather feedback on the training and research process.</div><div>We foundthat, reflected against the lack of formal education in the past, the opportunity and support received to be part of a research endeavour, elicited a sense of pride, relief, and liberation in peer researchers. Additionally, actualising the role of an academic and researcher, and not just being passive responders to people in positions of intellectual and systemic power, engendered a sense of responsibility and accountability to peer researchers, and to the mental health system. Thirdly, supporting persons with experiences of mental illness in participatory research activities, especially in the context of low resource settings, requires specific consideration of practical conditions and adjustments needed to avoid tokenism. Finally, both peer- and staff researchers spoke about persisting hierarchies between them which deserve attention.</div><div>We conclude that participatory research has a significant scope amongst clients from disadvantaged communities in low-resource settings. Respondents repeatedly expressed an urgency for persons with lived experience to contribute to mental health pedagogy, and, in so doing, disrupt archaic treatment approaches.. Experiences from this enquiry also call for a rethink on how training in research can be developed for individuals without formal education and with cognitive difficulties, with the help of auditory support systemssuch that key concepts are available and accessible, and long-term memory becomes less of a deterrent in the pursuit of knowledge and truth.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"23 ","pages":"Article 100123"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Navigating the complexities of AI and digital governance: the 5W1H framework","authors":"S. Matthew Liao ,&nbsp;Iskandar Haykel ,&nbsp;Katherine Cheung ,&nbsp;Taylor Matalon","doi":"10.1016/j.jrt.2025.100127","DOIUrl":"10.1016/j.jrt.2025.100127","url":null,"abstract":"<div><div>As AI and digital technologies advance rapidly, governance frameworks struggle to keep pace with emerging applications and risks. This paper introduces a \"5W1H\" framework to systematically analyze AI governance proposals through six key questions: <em>What</em> should be regulated (data, algorithms, sectors, or risk levels), <em>Why</em> regulate (ethics, legal compliance, market failures, or national interests), <em>Who</em> should regulate (industry, government, or public stakeholders), <em>When</em> regulation should occur (upstream, downstream, or lifecycle approaches), <em>Where</em> it should take place (local, national, or international levels), and <em>How</em> it should be enacted (hard versus soft regulation). The framework is applied to compare the European Union's AI Act with the current U.S. regulatory landscape, revealing the EU's comprehensive, risk-based approach versus America's fragmented, sector-specific strategy. By providing a structured analytical tool, the 5W1H framework helps policymakers, researchers, and stakeholders navigate complex AI governance decisions and identify areas for improvement in existing regulatory approaches.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"23 ","pages":"Article 100127"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A turning point in AI: Europe's human-centric approach to technology regulation","authors":"Yavuz Selim Balcioğlu ,&nbsp;Ahmet Alkan Çelik ,&nbsp;Erkut Altindağ","doi":"10.1016/j.jrt.2025.100128","DOIUrl":"10.1016/j.jrt.2025.100128","url":null,"abstract":"<div><div>This article examines the European Union's Artificial Intelligence Act, a landmark legislation that sets forth comprehensive rules for the development, deployment, and governance of artificial intelligence technologies within the EU. Emphasizing a human-centric approach, the Act aims to ensure AI's safe use, protect fundamental rights, and foster innovation within a framework that supports economic growth. Through a detailed analysis, the article explores the Act's key provisions, including its risk-based approach, bans and restrictions on certain AI practices, and measures for safeguarding fundamental rights. It also discusses the potential impact on SMEs, the importance of balancing regulation with innovation, and the need for the Act to adapt in response to technological advancements. The role of stakeholders in ensuring the Act's successful implementation and the significance of this legislative milestone for the future of AI are highlighted. The article concludes with reflections on the opportunities the Act presents for ethical AI development and the challenges ahead in maintaining its relevance and efficacy in a rapidly evolving technological landscape.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"23 ","pages":"Article 100128"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144704071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}