{"title":"Design guidelines for the therapeutic use of AI in grief","authors":"Maria Isabel Betancur Franco","doi":"10.1016/j.jrt.2026.100148","DOIUrl":"10.1016/j.jrt.2026.100148","url":null,"abstract":"<div><div>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).</div><div>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.</div><div>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.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"25 ","pages":"Article 100148"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038166","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}
Siri Padmanabhan Poti, Christopher J. Stanton, Catherine J. Stevens
{"title":"Enabling ethics mechanisms in the governance of algorithmic artificial persons (ALAP)","authors":"Siri Padmanabhan Poti, Christopher J. Stanton, Catherine J. Stevens","doi":"10.1016/j.jrt.2025.100143","DOIUrl":"10.1016/j.jrt.2025.100143","url":null,"abstract":"<div><div>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’.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"25 ","pages":"Article 100143"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145842701","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}
Iztok Kosem , Mojca Stritar Kučuk , Špela Arhar Holdt
{"title":"Corplus: A new concordancer for exploring authentic texts with language corrections","authors":"Iztok Kosem , Mojca Stritar Kučuk , Špela Arhar Holdt","doi":"10.1016/j.jrt.2025.100144","DOIUrl":"10.1016/j.jrt.2025.100144","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"25 ","pages":"Article 100144"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799789","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":"New tech, old demons: generative artificial intelligence could inherit the flaws of machine learning","authors":"Stany Nzobonimpa","doi":"10.1016/j.jrt.2026.100160","DOIUrl":"10.1016/j.jrt.2026.100160","url":null,"abstract":"<div><div>The recent advent of Generative Artificial Intelligence (GenAI) models has ushered in some hope for highly intelligent models capable of achieving what was once impossible. The technology has been praised for its performance on many traditionally complex tasks such as context-relevant content generation. For researchers of responsible AI and racial inequities, this hope was needed as existing literature has constantly demonstrated AI in general has a racial problem and many systems such as facial recognition systems, have proven to be biased against certain groups. The practice of identifying crime suspects based on racial identities has raised concerns as has the reliance on AI in rendering criminal justice decisions. In this article, we conduct an experiment on how a popular GenAI model compares to a traditional Machine Learning (ML) technique on those tasks. Our findings are simple and clear: neither method is suitable for the intricate task of race-informed criminal identification exercises. In our literature review and discussion sections, we explore the why and the how we got here: recent research has constantly shown that crime suspect prediction based on race is a reality, despite documented mediocre performance of even the most advanced technologies.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"25 ","pages":"Article 100160"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147396638","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":"Enhancing foreign language learning through AI-driven telecollaboration","authors":"Maria Mont, Melinda Dooly, Dolors Masats","doi":"10.1016/j.jrt.2026.100153","DOIUrl":"10.1016/j.jrt.2026.100153","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"25 ","pages":"Article 100153"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038167","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":"Digital morphology of the Albanian language","authors":"Anila Çepani , Adelina Çerpja","doi":"10.1016/j.jrt.2026.100151","DOIUrl":"10.1016/j.jrt.2026.100151","url":null,"abstract":"<div><div>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 <em>Kulla e shqipes 2.0</em> 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.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"25 ","pages":"Article 100151"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038168","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}
René von Schomberg, Stefan Böschen, Julia Backhaus
{"title":"Responsible Research and Innovation-Labs: towards new forms of reflexivity in engineering and innovation practices","authors":"René von Schomberg, Stefan Böschen, Julia Backhaus","doi":"10.1016/j.jrt.2026.100154","DOIUrl":"10.1016/j.jrt.2026.100154","url":null,"abstract":"<div><div>This article explores the integration of Responsible Research and Innovation (RRI) principles within living labs, particularly focusing on engineering and innovation practices. It reviews the evolution of living labs over the last 20 years, their roles in fostering co-responsibility among stakeholders, collaborative knowledge production and directing innovations toward socially desirable ends. It proposes the concept of Responsible Research and Innovation Labs (RRI Labs) tailored for engineering practices.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"25 ","pages":"Article 100154"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189158","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":"Quantum for good through a lens of technosolutionism: A critical-constructive view","authors":"Eline de Jong , Clare Shelley-Egan","doi":"10.1016/j.jrt.2026.100157","DOIUrl":"10.1016/j.jrt.2026.100157","url":null,"abstract":"<div><div>‘Quantum for Good’ (Q4G) has emerged as a guiding rationale for quantum technology development, emphasising its potential to address societal challenges and serve the public good. Through this normative ambition, Q4G echoes the language of responsible innovation. At the same time, using technology to address complex social problems has been critiqued as ‘technosolutionism’—the belief that technology is an effective means to solve non-technological problems. In this paper, we examine whether and how this critique applies to Q4G. We adopt a principally neutral perspective on technosolutionism, recognising both the potential and limits of technological solutions, and use this as a critical-constructive lens to assess the normative underpinnings of Q4G. Specifically, we develop a set of guiding questions to scrutinise the ethical dimensions of proposed technosolutions and apply this framework to Q4G. We argue that, to live up to its commitment to societal good and to avoid becoming a legitimising narrative for existing innovation agendas or reducing complex issues to technological challenges, Q4G must remain attentive to the ethical and sociopolitical dimensions of the problems it targets and the solutions it advances.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"25 ","pages":"Article 100157"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189159","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":"Body as a data artefact: The ontological kaleidoscope framework","authors":"Genevieve Smith-Nunes","doi":"10.1016/j.jrt.2025.100138","DOIUrl":"10.1016/j.jrt.2025.100138","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"24 ","pages":"Article 100138"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145097860","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":"Beyond social acceptance in wicked problems: A socio-ethical assessment framework for technology governance","authors":"K. Moesker, U. Pesch","doi":"10.1016/j.jrt.2025.100140","DOIUrl":"10.1016/j.jrt.2025.100140","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"24 ","pages":"Article 100140"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145417450","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}