Journal of responsible technology最新文献_第2页

Enabling ethics mechanisms in the governance of algorithmic artificial persons (ALAP) 算法人工智能（ALAP）管治中的道德机制

Journal of responsible technology

Pub Date : 2025-11-29 DOI: 10.1016/j.jrt.2025.100143

Siri Padmanabhan Poti, Christopher J. Stanton, Catherine J. Stevens

In the global context of a ‘new social contract’ and a ‘flourishing world’, ethics mechanisms such as principles, guidelines, recommendations, standards, frameworks and checklists, are being established by public and private organisations and governments for the governance of 'algorithmic artificial persons (ALAP)', autonomous artificial intelligence (AAI) systems and emerging information and communication technologies (eICT). This paper examines, and identifies eleven gaps in the current ethics mechanisms, employing a ‘qualitative evidence synthesis’ (QES). Additionally, it proposes a ‘prescriptive conceptual model’ of an ‘anticipatory general ethics library’ (AnGEL), to enable resolution of these gaps. AnGEL is conceptually modelled as an implementable library of norms and rules for ALAPs / AAI systems and eICT, agnostic of domains and use cases. The conceptually modelled AnGEL may, post ‘verification’ through further discourse, and subsequent ‘validation’ of a prototype, be hosted on a cyber-physical intermediary. It can be rendered accessible through ‘Ethics-as-a-Service’ and provide ‘ethics interoperability’.

在“新社会契约”和“繁荣世界”的全球背景下，公共和私人组织和政府正在为“算法人工人（ALAP）”、自主人工智能（AAI）系统和新兴信息通信技术（eICT）的治理建立原则、指导方针、建议、标准、框架和清单等伦理机制。本文采用“定性证据综合”（QES）方法，研究并确定了当前伦理机制中的11个空白。此外，它提出了一个“预期一般伦理图书馆”（AnGEL）的“规定性概念模型”，以解决这些差距。AnGEL在概念上被建模为alap / AAI系统和eICT的可实现规范和规则库，与领域和用例无关。概念建模的AnGEL可以通过进一步的讨论进行“验证”，随后对原型进行“验证”，并托管在网络物理中介上。它可以通过“道德即服务”实现访问，并提供“道德互操作性”。

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引用次数: 0

Empowering stuttering female English learners: AI vs. human-AI hybrid tutoring for alleviating social anxiety 增强女性口吃英语学习者的能力：人工智能与人工智能混合辅导减轻社交焦虑

Journal of responsible technology

Pub Date : 2025-11-04 DOI: 10.1016/j.jrt.2025.100141

Mohsen Mahmoudi-Dehaki , Nasim Nasr-Esfahani

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.

本研究比较了人工智能和人工智能混合教学对女性英语学习者的口吃严重程度（即口吃音节的频率和持续时间）和社交焦虑症状（即害怕负面评价、回避行为和生理症状）的影响。此外，还探讨了参与者对实施方法的看法。首先，采用计算机化口吃严重程度评分和社交恐惧症量表对92名患有社交焦虑的女性英语口吃学习者进行了一项准实验研究，比较了干预措施的效果。然后，对24名参与者进行焦点小组访谈，以了解结果。研究结果显示，由于人工智能在保密、鼓励冒险、提供非评判性反馈和提供公正解释方面的潜在优势，与人类-人工智能混合辅导相比，人工智能辅导显著改善了口吃和社交焦虑的状况。这项研究对全纳语言教育、治疗教学法、智能辅导系统和教育心理学都有好处。

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引用次数: 0

Decoding cybersecurity discourse and communication dynamics in financial institutions 解码网络安全话语和金融机构的沟通动态

Journal of responsible technology

Pub Date : 2025-11-04 DOI: 10.1016/j.jrt.2025.100142

Justin Davis , Surender Maddini , Swamy Kankala , Renjith Kathalikkattil Ravindran , Mohan Kunkulagunta , Mohan Harish Maturi , Geeta Sandeep Nadella , Elyson De La Cruz

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.

本研究考察了金融机构中关于网络安全的人类话语，以及用于谈论威胁的简单词语如何使团队团结起来或在他们之间造成分裂。在对12位专业人士（技术专家和一线员工）的访谈中，我们发现有一个共同的主题，人们对风险的看法截然不同。技术专家使用所谓的零日攻击和DLP控制，而他们的非技术同事则专注于名誉受损和经济损失的问题。这种语言障碍对持续的防御构成了障碍。在我们的研究结果中，我们发现有助于弥合这一差距的沟通策略是最有效的。训练中的模拟是互动的，因此可以创造粘性，过于技术性和被动会令人沮丧。最后，组织领导人的文化和明显的奉献精神也至关重要。集体责任和积极强化的文化将使领导文化能够在所需的技术行动和业务的最终目标之间取得平衡。这项研究为已经建立的理论提供了一个新的角度，它表明语言本身在决定个人选择逃避威胁的方式方面具有强大的影响力。对金融机构来说，这意味着简单、专注的沟通不仅是一种软技能，而且是一种战略需要。虽然本研究的见解是基于美国金融业的一个狭窄的焦点小组获得的，但对他们的讨论进行深刻的比较分析，为使用普通词汇理解意义和责任构建提供了丰富而合理的理解。本研究在金融机构进行了12次访谈，达到理论饱和，然后进行了角色内分析，然后进行了比较。样本在话语分析中具有较高的信息能力和解释有效性，而话语分析涉及语言和意义结构，而不是人口代表性。

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引用次数: 0

Beyond social acceptance in wicked problems: A socio-ethical assessment framework for technology governance 在邪恶问题中超越社会接受：技术治理的社会伦理评估框架

Journal of responsible technology

Pub Date : 2025-10-18 DOI: 10.1016/j.jrt.2025.100140

K. Moesker, U. Pesch

Introducing emerging technologies is often seen as successful when social acceptance has been achieved. In the case of ‘wicked’ problems, social acceptance might be an insufficient quality criterion for the desirability of technological developments, because the focus on social acceptance can risk overlooking crucial ethical considerations. As such, this paper addresses the research question of whether technology governance frameworks can go beyond mere social acceptance issues and incorporate ethical considerations. By exploring three projects in which potable water reuse has been introduced, we have identified the limitations of common governance approaches to enhance social acceptance, including common participation and ‘Opening Up’ participation strategies. Our explorative study indicates that even an ideal participation strategy is insufficient to ensure ethical acceptability due to the lack of critical reflection on the problem this technology development is solving. If a given problem is too narrowly defined to artificially favor one solution over another, the exploration of alternative solutions will be hindered, potentially reinforcing unsustainable practices. To extend on existing approaches to participation, we propose a socio-ethical assessment framework that integrates social acceptance measures with ethical acceptability considerations to address these shortcomings. This framework emphasizes the importance of ethical participation, including the representation of marginalized voices, future generations, and non-human entities. It also urges to critically examine the framing of the problem itself, acknowledging the wicked nature of issues like water scarcity. By doing so, technology governance can become more responsible by aligning societal and ethical considerations.

在获得社会认可的情况下，引入新兴技术通常被视为成功。在“邪恶”问题的情况下，社会接受度可能不足以作为技术发展可取性的质量标准，因为对社会接受度的关注可能会忽视关键的伦理考虑。因此，本文解决了技术治理框架是否可以超越单纯的社会接受问题并纳入伦理考虑的研究问题。通过探索三个引入饮用水回用的项目，我们发现了共同治理方法在提高社会接受度方面的局限性，包括共同参与和“开放”参与战略。我们的探索性研究表明，由于缺乏对这项技术发展正在解决的问题的批判性反思，即使是理想的参与策略也不足以确保伦理可接受性。如果某一特定问题的定义过于狭隘，以致人为地偏袒一种解决方案而忽视另一种解决方案，则会阻碍对替代解决方案的探索，从而可能加强不可持续的做法。为了扩展现有的参与方法，我们提出了一个社会伦理评估框架，该框架将社会接受度措施与伦理可接受性考虑相结合，以解决这些缺点。该框架强调了伦理参与的重要性，包括边缘化声音、后代和非人类实体的代表。它还敦促人们批判性地审视问题本身的框架，承认水资源短缺等问题的邪恶本质。通过这样做，技术治理可以通过协调社会和道德考虑而变得更负责任。

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引用次数: 0

Community, Identity & Stability? Building Trust in Facial Recognition Systems for Mass Surveillance 社区、身份与稳定？在大规模监控中建立面部识别系统的信任

Journal of responsible technology

Pub Date : 2025-10-10 DOI: 10.1016/j.jrt.2025.100139

Gabriela Beltrão, Sek Teng Goh, Sonia Sousa, David Lamas

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.

大规模监控面部识别系统（FRMS）在全球范围内得到越来越多的应用，它采用生物识别技术和人工智能来解决安全问题。尽管在人机交互（HCI）中广泛采用以人为中心的框架，但由于缺乏与个人的直接交互，FRMS带来的独特挑战经常被忽视。本文报告了一项混合方法探索性研究，调查了影响新加坡人信任这些系统的倾向的因素，强调了考虑传统HCI框架之外的方面的重要性。实证研究的结果揭示了文化和背景因素如何塑造公民的信任，强调了在实施和管理这种非标准技术以平衡个人和社会进步时采用更广泛的视角的必要性。

引用次数: 0

Body as a data artefact: The ontological kaleidoscope framework 作为数据人工制品的身体：本体万花筒框架

Journal of responsible technology

Pub Date : 2025-09-15 DOI: 10.1016/j.jrt.2025.100138

Genevieve Smith-Nunes

This article introduces the ‘Ontological Kaleidoscope’ framework—a novel methodological approach for examining the complex entanglements between embodiment, data, and ethics in contemporary digital contexts. Drawing from the established traditions of posthumanism and constructionism, this framework aims to offer researchers a systematic method for analysing how human bodies become translated into data artifacts within computational systems. The Ontological Kaleidoscope serves as both a critical lens and analytical tool, revealing the gaps, ruptures, and impossible translations between embodied experience and data infrastructures. This paper situates the framework within existing methodological approaches, demonstrates its theoretical foundations, provides a detailed implementation guide, and illustrates its potential application illustrated through a case study example. By offering a structured yet flexible approach to examining body-data-ethics relationships, the Ontological Kaleidoscope contributes a valuable methodological innovation for scholars investigating the increasingly blurred boundaries between human embodiment and digital representation.

本文介绍了“本体论万花筒”框架，这是一种新的方法方法，用于研究当代数字环境中体现、数据和伦理之间的复杂纠缠。该框架借鉴了后人类主义和建构主义的既定传统，旨在为研究人员提供一种系统的方法来分析人体如何在计算系统中转化为数据工件。本体论万花筒既是一个关键的镜头，也是一个分析工具，揭示了具体经验和数据基础设施之间的差距、破裂和不可能的转换。本文将该框架置于现有的方法方法中，论证了其理论基础，提供了详细的实施指南，并通过案例研究示例说明了其潜在的应用。通过提供一种结构化而灵活的方法来研究身体-数据-伦理关系，本体论万花筒为研究人类体现与数字表现之间日益模糊的界限的学者提供了一种有价值的方法论创新。

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引用次数: 0

Ethical and psychological implications of generative AI in digital afterlife technologies: A systematic literature review on responsible inclusive innovation 生成式人工智能在数字来世技术中的伦理和心理影响：关于负责任的包容性创新的系统文献综述

Journal of responsible technology

Pub Date : 2025-09-08 DOI: 10.1016/j.jrt.2025.100136

Mariyono Dwi

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.

再生人工智能（GenAI）的快速发展催生了数字来世技术（DeathTech），它可以保存死者的声音、记忆和个性。本研究使用主题swot分析方法和负责任的包容性创新（RII）框架，系统回顾了45篇科学论文（2020-2025），以探索文化模式、包容性设计和治理模式如何影响跨文化对死亡科技的接受程度。主要发现表明，仪式适应和精神意义是接受这种技术的关键。犹太社区和日本社区通过文化融合表现出高度的接受度，而印度社区和鲁希亚社区则经历了本体论的不和谐。设计失败，如语言排斥和仪式不一致影响边缘化群体。此外，监管缺口也存在，尤其是在死后隐私保护和算法偏见方面。本研究提出了一个道德和公平的死亡科技发展的三重框架：文化调解、包容性设计和多元化治理。这一贡献丰富了数字死亡学的研究，并为文化和社会可持续创新提供了建议。

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引用次数: 0

Relational & culture-sensitive AI innovation 关系和文化敏感的人工智能创新

Journal of responsible technology

Pub Date : 2025-08-15 DOI: 10.1016/j.jrt.2025.100135

Christian Herzog

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.

在本文中，我认为负责任地开发人工智能（AI）解决方案需要对所涉及的文化景观有深刻的理解。特别是考虑到人工智能的普遍倾向，不同的，可能相互冲突的利益，价值观和知识需要特别考虑。我提倡一种与关系伦理观点相一致的文化敏感性，以解决权力不对称，赋予边缘化群体权力，并承认认知特权。通过展示技术如何渗透文化，我提出了一种文化知情的伦理方法，使个人能够自主地改造（或保护）文化。然后，我讨论了文化研究与技术和人工智能工程师和官员的培训和实践的结构性整合。通过讨论与技术发展的文化敏感方法密切相关的关系伦理，我加入了伦理和文化研究之间更密切合作的支持者，这种合作可以产生尊重不同文化背景的见解和方法，并挑战破坏性创新的首要地位。

引用次数: 0

Exploring responsible technology through archetypal responses: uncertainty analysis in Leave the World Behind 通过原型反应探索负责任的技术：《把世界抛在后面》中的不确定性分析

Journal of responsible technology

Pub Date : 2025-08-15 DOI: 10.1016/j.jrt.2025.100134

Inna Artemova

As AI systems grow increasingly opaque and influential, technological uncertainty is central to contemporary human experience. This study examines archetypal human responses to such uncertainty through a semiotic and narratological analysis of the film Leave the World Behind. Drawing on Lotman’s concept of the semiosphere and Propp’s archetypal theory, the research interprets character transformations as universal adaptive patterns. Key archetypes are identified—Adaptive Hero, Knowledge Bearer, Individualistic Survivor, Vulnerable Dependent, Social Mediator, and Digital Escapist—revealing capacities that support resilience in technology-mediated crises: collective meaning-making, emotional intelligence, inter- and intra-generational knowledge exchange, collaborative resilience, and ecological literacy. These findings suggest that sustainable human-technology relations require more than regulatory oversight: they demand inclusive, culturally grounded frameworks that prioritise human values, ethical co-design, and shared interpretive systems. By mapping archetypal responses to systemic disruption, the study contributes to emerging debates on technological governance, posthuman ethics, and the future of human agency in AI-shaped societies.

随着人工智能系统变得越来越不透明和有影响力，技术的不确定性是当代人类体验的核心。本研究通过对电影《离开世界》的符号学和叙事学分析，探讨了人类对这种不确定性的典型反应。利用洛特曼的符号圈概念和普罗普的原型理论，本研究将角色转换解释为一种普遍的适应模式。关键原型被确定——适应性英雄、知识承载者、个人主义幸存者、脆弱依赖者、社会调解者和数字逃避者——揭示了在技术介导的危机中支持弹性的能力：集体意义创造、情商、代际和代际知识交流、协作弹性和生态素养。这些发现表明，可持续的人与技术关系需要的不仅仅是监管监督：它们需要包容的、以文化为基础的框架，优先考虑人类价值观、道德共同设计和共享的解释系统。通过绘制对系统性破坏的原型反应，该研究有助于对技术治理、后人类伦理以及人工智能社会中人类代理的未来进行新兴辩论。

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引用次数: 0

Embedding ethical and legal principles in AI-driven clinical practice: two use cases in laboratory diagnostics 在人工智能驱动的临床实践中嵌入伦理和法律原则：实验室诊断中的两个用例

Journal of responsible technology

Pub Date : 2025-08-12 DOI: 10.1016/j.jrt.2025.100133

Marieke A.R. Bak , Martijn C. Schut , M. Corrette Ploem

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.

这篇跨学科的论文探讨了医学中人工智能（AI）的伦理-法律方面。我们首先描述了我们的“嵌入式伦理”方法，该方法需要伦理学家、法律学者和人工智能专家之间的合作，并简要概述了人工智能和相关的欧洲伦理-法律背景。然后，我们使用实验室诊断领域的两个案例来识别和分析临床人工智能中的伦理和法律问题：新生儿筛查中的人工智能系统和诊断阿尔茨海默病的人工智能系统。这些用例揭示了人工智能开发和实现的五个阶段中的每个阶段的关键关注点。对于每个阶段，我们都概述了核心道德-法律原则，并为开发人员制定了指导性问题。人们的担忧包括关于可取性和相称性的基本问题，人工智能特有的挑战，如可解释性和偏见，以及共同决策和专业责任等更广泛的问题。最后，我们对人工智能系统临床应用和该领域跨学科研究的未来挑战进行了反思。

引用次数: 0