Journal of responsible technology最新文献

英文中文

Enhancing foreign language learning through AI-driven telecollaboration 通过人工智能驱动的远程协作增强外语学习

Journal of responsible technology

Pub Date : 2026-01-20 DOI: 10.1016/j.jrt.2026.100153

Maria Mont, Melinda Dooly, Dolors Masats

Artificial Intelligence (AI) is transforming language education through individualized practice, instant feedback, and enhanced engagement. This study investigates its integration into Technology-Enhanced Project-Based Language Learning (TEPBLL) and telecollaboration, focusing on perceptions of 48 young English learners who used a personalized version of ChatGPT-4 during a transnational project on clean water and sanitation. A qualitative thematic analysis of post-project survey responses was conducted, and theme frequencies were quantified to gauge salience. Learners reported high perceived value (90.7% positive) across language production, comprehension, collaboration, and AI/digital literacies. However, the teacher remained the preferred feedback source (69%). So, while AI offers immediacy and iteration, it cannot replace the social-emotional dimension of learning. Students also flagged challenges such as occasional misinformation, overloaded outputs, prompt-formulation, and language barriers. Findings suggest a pragmatic integration of AI as a scaffold to support teacher-led, telecollaborative TEPBLL, highlighting the need for explicit prompt literacy and mediation.

人工智能（AI）正在通过个性化实践、即时反馈和增强参与来改变语言教育。本研究调查了其与技术增强的基于项目的语言学习（TEPBLL）和远程协作的整合，重点关注48名年轻英语学习者在一个关于清洁水和卫生的跨国项目中使用个性化版本的ChatGPT-4的看法。对项目后的调查结果进行了定性主题分析，并对主题频率进行了量化以衡量显著性。学习者在语言生成、理解、协作和人工智能/数字素养方面的感知价值较高（90.7%为正面）。然而，教师仍然是首选的反馈来源（69%）。因此，尽管人工智能提供了即时性和迭代性，但它无法取代学习的社交情感维度。学生们还指出了一些挑战，如偶尔的错误信息、过载的输出、及时的表述和语言障碍。研究结果表明，将人工智能作为支持教师主导的远程协作TEPBLL的框架进行实用整合，突出了明确的快速扫盲和调解的必要性。

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引用次数: 0

Digital morphology of the Albanian language 阿尔巴尼亚语的数字形态学

Journal of responsible technology

Pub Date : 2026-01-14 DOI: 10.1016/j.jrt.2026.100151

Anila Çepani , Adelina Çerpja

There has been a growing development of the Albanian Natural Language Processing (NLP) in recent years, but morphological analysis remains a critical and under-resourced area. This article presents a comprehensive overview of the Digital Morphology Software, a core component of the Kulla e shqipes 2.0 platform, which is specifically developed to address the morphological complexity of the Albanian language's structure. Designed to serve both computational linguistics and language pedagogy, the software enables automatic analysis, generation, and classification of Albanian word forms across nouns, verbs, adjectives etc. Built on a rule-based and corpus-informed methodology, the system incorporates grammatical models drawn from authoritative Albanian sources. The formulas of these grammatical models apply structured rules to representative stems, ensuring accurate and scalable paradigm generation. The software is accessible via web, desktop, and mobile platforms, offering a responsive interface, real-time analysis, and interactive features. A standout component is the evaluation module, which allows users to complete paradigms manually and receive instant feedback - transforming the platform into a dynamic learning environment. The software is designed to support educational institutions, researchers, teachers, and learners by providing an interactive framework for mastering Albanian morphology. It also acts as a reliable reference tool for editors, linguists, and NLP developers. As one of the most complete morphological tools for Albanian to date, it offers essential infrastructure for advancing NLP applications, corpus annotation, and standardized language instruction.

近年来，阿尔巴尼亚语自然语言处理（NLP）有了越来越多的发展，但形态学分析仍然是一个关键和资源不足的领域。本文介绍了数字形态学软件的全面概述，该软件是Kulla e shqipes 2.0平台的核心组件，专门用于解决阿尔巴尼亚语结构的形态学复杂性。该软件旨在为计算语言学和语言教育学服务，可以自动分析、生成和分类阿尔巴尼亚语的词形式，包括名词、动词、形容词等。该系统以规则为基础，以语料库为基础，结合了阿尔巴尼亚语权威来源的语法模型。这些语法模型的公式将结构化规则应用于有代表性的词干，确保了准确和可扩展的范式生成。该软件可通过web、桌面和移动平台访问，提供响应式界面、实时分析和交互功能。一个突出的组件是评估模块，它允许用户手动完成范例并接收即时反馈-将平台转换为动态学习环境。该软件旨在通过提供掌握阿尔巴尼亚语形态学的互动框架来支持教育机构、研究人员、教师和学习者。它还可以作为编辑、语言学家和NLP开发人员的可靠参考工具。作为迄今为止最完整的阿尔巴尼亚语形态学工具之一，它为推进自然语言处理应用、语料库注释和标准化语言教学提供了必要的基础设施。

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引用次数: 0

An exploratory thematic review of the emerging field of RRI education RRI教育新兴领域的探索性专题回顾

Journal of responsible technology

Pub Date : 2026-01-13 DOI: 10.1016/j.jrt.2026.100152

Ferdinand Griesdoorn, Maarten Kroesen, Pieter Vermaas

This exploratory thematic review examines the emerging landscape of Responsible Research and Innovation (RRI) education. It reviews 17 peer-reviewed studies published over the past two decades, using the PRISMA methodology. These studies were categorized into four themes to identify recurring successes and obstacles. The review highlights several successful practices, including the contextualization of RRI, promotion of reflexivity, participatory methods, interdisciplinary collaboration, and instances of institutional integration. Simultaneously, it uncovers persistent obstacles such as conceptual ambiguity, institutional resistance, scalability limitations, and the difficulty of translating abstract RRI principles into measurable competencies. The relations between some of these obstacles suggests a vicious reinforcing cycle that hinders progress in RRI education. We argue that resolving conceptual and definitional ambiguities could foster a more coherent and sustainable RRI education.

这个探索性的专题审查审查负责任的研究和创新（RRI）教育的新兴景观。它回顾了过去二十年来发表的17项同行评议研究，这些研究采用了PRISMA方法。这些研究分为四个主题，以确定反复出现的成功和障碍。该综述强调了一些成功的实践，包括RRI的背景化、促进反思性、参与式方法、跨学科合作和机构整合的实例。同时，它揭示了持续存在的障碍，如概念模糊、制度阻力、可扩展性限制，以及将抽象的RRI原则转化为可测量能力的困难。这些障碍之间的关系表明了一种恶性循环，阻碍了RRI教育的进步。我们认为，解决概念和定义上的歧义可以促进更连贯和可持续的RRI教育。

引用次数: 0

Design guidelines for the therapeutic use of AI in grief 在悲伤中使用人工智能治疗的设计指南

Journal of responsible technology

Pub Date : 2026-01-08 DOI: 10.1016/j.jrt.2026.100148

Maria Isabel Betancur Franco

Within grief, chatbots are being used for therapy and as “griefbots”, impersonating the dead. Users risk data breaches and psychological attachments to monetised services. To determine human-centred guidelines for the responsible implementation of grief AI, a qualitative study was conducted, consisting of therapist interviews (N = 4), a survey of individuals who experienced grief (N = 49), and interviews with a subset of respondents (N = 4).

Participants expressed low trust in the efficacy and data security of therapeutic chatbots and strongly rejected griefbots, citing ethical and psychological concerns. Therapists also highlighted associated risks, but identified opportunities for their use as complementary therapy tools, emphasizing a need for professional supervision and usage restrictions.

Guidelines include personalisation, data privacy and security, professional oversight, and restrictions by age and psychological characteristics. The novel RUDA framework (Responsible Usage, Development, and Administration) is proposed, mitigating associated risks by outlining accountability by actor for the responsible implementation of grief AI.

在悲伤中，聊天机器人被用于治疗，也被用作“悲伤机器人”，扮演死者。用户面临着数据泄露的风险，以及对货币化服务的心理依恋。为了确定负责任地实施悲伤人工智能的以人为本的指导方针，进行了一项定性研究，包括治疗师访谈（N = 4），对经历悲伤的个人的调查（N = 49），以及对一部分受访者的访谈（N = 4）。参与者对治疗性聊天机器人的疗效和数据安全性表示不太信任，并出于道德和心理方面的考虑，强烈拒绝使用悲伤机器人。治疗师也强调了相关的风险，但也确定了将其作为辅助治疗工具的机会，强调需要专业监督和使用限制。指导方针包括个性化、数据隐私和安全、专业监督以及年龄和心理特征的限制。提出了新的RUDA框架（负责任的使用、开发和管理），通过概述参与者对负责任的悲伤人工智能实施的责任来减轻相关风险。

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引用次数: 0

Never say goodbye: assumptions of ‘normal’ grief in framings and portrayals of AI grief technologies 永远不要说再见：框架中的“正常”悲伤的假设和人工智能悲伤技术的描述

Journal of responsible technology

Pub Date : 2026-01-07 DOI: 10.1016/j.jrt.2026.100149

Pascalle Paumen , Katleen Gabriels

Artificial Intelligence (AI) based grief technologies are being offered as solutions to grief: AI griefbots are trained on the departed’s or dying person’s digital footprints to simulate them. Ongoing research questions whether they help or hinder ‘healthy’ grieving, neglecting underlying assumptions about ‘normal’ grieving. Using multimodal critical discourse analysis, this article analyses AI grief technology framings and portrayals in documentaries and six services’ websites (Seance AI; Eternos; You, Only Virtual; HereAfter AI; Project December; re;memory). We demonstrate AI grief technologies’ contribution to renegotiating grief as a technical problem to be solved. The techno-solutions are rooted in existing psychological discourses of ‘normal’ grief and position AI as band-aids or cures for grief and death. Documentaries on AI grief technologies play a significant part in reinforcing boundary-setting between normality and abnormality. Grief shifts from a human experience to something that can and should be made more efficient or avoided altogether through AI.

基于人工智能（AI）的悲伤技术被提供作为悲伤的解决方案：人工智能悲伤机器人通过训练死者或将死之人的数字足迹来模拟他们。正在进行的研究质疑它们是帮助还是阻碍了“健康”的悲伤，忽视了对“正常”悲伤的潜在假设。本文采用多模态批评话语分析，分析了纪录片和六个服务网站（Seance AI、Eternos、You, Only Virtual、HereAfter AI、Project December、re、memory）中AI悲伤技术的框架和描述。我们展示了人工智能悲伤技术对重新协商悲伤作为一个有待解决的技术问题的贡献。技术解决方案根植于现有的“正常”悲伤的心理学话语，并将人工智能定位为悲伤和死亡的创可贴或治疗方法。关于人工智能悲伤技术的纪录片在强化正常与异常之间的界限方面发挥了重要作用。悲伤从一种人类体验转变为可以而且应该通过人工智能变得更有效或完全避免的东西。

引用次数: 0

Multi-stakeholder perspectives on governing innovation in the digital afterlife 从多方利益相关者的角度看数字时代后的治理创新

Journal of responsible technology

Pub Date : 2026-01-07 DOI: 10.1016/j.jrt.2026.100150

Khadiza Laskor , Richard Owen , Andrew Charlesworth

Innovations regarding the digital afterlife, underpinned by rapid advances in generative AI and synthetic media, potentiate the creation of interactive, posthumous personas – digital re-creations – based on the digital remains of the dead. Current regulations do not extend to these, resulting in a governance void. We present findings from 69 stakeholder interviews that explored whether such re-creations should be governed and, if so, how. Our respondents exhibited a widespread view that governance was necessary and proposed several governance options, although there was little consensus as to which of these should be taken forward. Stakeholders acknowledged the various motivations and purposes of digital re-creations, which governance should be sensitive to. Our findings suggest governance principles that include proportionality (in relation to purpose and use), dignity (of the deceased) and protection from harm for those interacting with digital re-creations, particularly for the vulnerable, e.g. minors and those who may be grieving. Given the nascent stage of these innovations, initiatives aimed at developing a common understanding of terms (such as the digital afterlife), education and awareness programmes, and convening broadly configured, policy-oriented governance working groups are important first steps towards responsible development.

在生成式人工智能和合成媒体快速发展的支持下，有关数字来世的创新促进了基于死者数字遗骸的交互式死后人物形象的创造——数字再创造。当前的法规没有扩展到这些，从而导致治理空白。我们提出了69个利益相关者访谈的结果，探讨了是否应该治理这种再创造，如果是，如何治理。我们的受访者普遍认为治理是必要的，并提出了几种治理方案，尽管对于应该采取哪一种治理方案几乎没有达成共识。利益相关者承认数字再创造的各种动机和目的，治理应该对此保持敏感。我们的研究结果表明，治理原则包括相称性（与目的和使用有关）、尊严（死者）和保护与数字再创作互动的人免受伤害，特别是对弱势群体，如未成年人和可能悲伤的人。鉴于这些创新尚处于初级阶段，旨在形成对术语（如数字来世）的共同理解的倡议、教育和意识规划，以及召集广泛配置的、以政策为导向的治理工作组，是迈向负责任发展的重要第一步。

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引用次数: 0

A UK perspective on responsible education for responsible AI: a multidisciplinary review and evaluation framework 英国对负责任人工智能负责任教育的看法：多学科审查和评估框架

Journal of responsible technology

Pub Date : 2025-12-27 DOI: 10.1016/j.jrt.2025.100147

Maira Klyshbekova , Gisela Reyes Cruz , Caitlin Bentley , Stef Garasto , Amy Aisha Brown , Christine Aicardi , Brian Ball , Mohammad Naiseh , Oana Andrei

Responsible Artificial Intelligence (RAI) education has emerged as a way of approaching the field of AI to address a host of concerns (Bentley et al., 2023). Many education providers have been releasing new RAI-related online courses, programmes, or toolkits. When combined with the issues emerging from the development, deployment, and use of AI, the expansion of RAI education and the proliferation of resources raise two critical questions. First, what can we learn about RAI from examining both the content and structure of publicly available RAI educational resources? Second, how might we understand the quality and impact of these RAI resources? We conducted a systematic search of UK RAI educational resources found online. We first present a descriptive analysis of 211 resources collected, including their type, format, cost, sector, audience, and type of provider. Furthermore, we describe our collaborative approach to analysing four pre-selected resources in-depth, from which we outlined an evaluation framework that we then employed for assessing the content of a subset of 47 resources. The five crucial areas of our framework could guide both learners and developers when approaching RAI resources.

负责任的人工智能（RAI）教育已经成为一种接近人工智能领域的方式，以解决一系列问题（Bentley等人，2023）。许多教育机构已经发布了新的与人工智能相关的在线课程、项目或工具包。当结合人工智能的开发、部署和使用所产生的问题时，人工智能教育的扩展和资源的扩散提出了两个关键问题。首先，通过检查可公开获得的RAI教育资源的内容和结构，我们可以了解到关于RAI的什么？其次，我们如何理解这些RAI资源的质量和影响？我们对网上找到的英国教育资源进行了系统的搜索。我们首先对所收集的211种资源进行了描述性分析，包括它们的类型、格式、成本、部门、受众和提供者类型。此外，我们描述了我们深入分析四个预选资源的合作方法，从中我们概述了一个评估框架，然后我们用于评估47个资源子集的内容。我们框架的五个关键领域可以指导学习者和开发人员使用RAI资源。

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引用次数: 0

Corplus: A new concordancer for exploring authentic texts with language corrections 一个新的协和探索与语言更正的真实文本

Journal of responsible technology

Pub Date : 2025-12-14 DOI: 10.1016/j.jrt.2025.100144

Iztok Kosem , Mojca Stritar Kučuk , Špela Arhar Holdt

This paper introduces a newly developed specialised Corplus concordancer designed to work with corpora containing annotated language corrections. Unlike traditional concordancers, which focus on retrieving linguistic patterns and frequency data from various types of corpora, this tool emphasises the retrieval and comparison of both erroneous and corrected forms within texts. It allows researchers and educators to track, analyse, and compare errors alongside their corrections, providing empirical data that can be applied to first- or second-language acquisition research, as well as applied linguistics, such as the development of language learning materials. The intuitive interface of the Corplus concordancer makes it suitable for classroom use, supporting data-driven learning and other approaches based on authentic language data. The Corplus concordancer has already been implemented to provide access to two Slovene corpora: the developmental corpus Šolar and the learner corpus KOST. The tool is programmed in a way to support a variety of languages and corpus types.

本文介绍了一种新开发的专门的语料库检索器，设计用于包含注释语言更正的语料库。传统的协和语料库侧重于从各种类型的语料库中检索语言模式和频率数据，而这个工具强调文本中错误和正确形式的检索和比较。它允许研究人员和教育工作者跟踪、分析和比较错误以及他们的纠正，提供可应用于第一或第二语言习得研究的经验数据，以及应用语言学，如语言学习材料的开发。Corplus协和舞蹈家直观的界面使其适合课堂使用，支持数据驱动的学习和其他基于真实语言数据的方法。已经实施了Corplus协和舞者，以提供对两个斯洛文尼亚语料库的访问：发展语料库Šolar和学习者语料库KOST。该工具的编程方式支持多种语言和语料库类型。

引用次数: 0

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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