{ "count": 50, "items": [ { "id": 9944, "url": "https://doi.org/10.1007/s43681-026-01190-4", "title": "The open-source advantage in large language models (LLMs)", "summary": "", "authors": "Jiya Manchanda, Laura Boettcher, Matheus Westphalen, Jasser Jasser", "category": "research", "topics": null, "published_at": "2026-07-09T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9944" }, { "id": 9863, "url": "https://doi.org/10.4324/9781003657736", "title": "Business Ethics and Ethical Business", "summary": "This second edition of Business Ethics and Ethical Business has all the virtues of the first edition as well as additions and revisions throughout, and three new chapters—one on AI and two on environmental ethics and sustainability. It explores the place of business in society, describes ethics in management, recognizes the challenges of environmental preservation, and explores challenges of international business. It introduces the major standards of business ethics and provides tools for ethic", "authors": "Robert Audi, Nathan L. King", "category": "research", "topics": "environment", "published_at": "2026-07-03T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9863" }, { "id": 10046, "url": "https://doi.org/10.21203/rs.3.rs-9701113/v1", "title": "CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology", "summary": "", "authors": "Zeeshan Rasheed, Muhammad Waseem, Kai-Kristian Kemell, Muhammad Waseem, Mika Saari, Kari Systä", "category": "research", "topics": "agents-autonomy", "published_at": "2026-07-03T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10046" }, { "id": 10040, "url": "https://doi.org/10.1093/pnasnexus/pgag066", "title": "Can AI help reduce prejudice? Evaluating the effectiveness of AI-powered personalized persuasion on support for transgender rights", "summary": "Personalized interpersonal conversations are among the most effective known tools for reducing prejudice, yet they are difficult to scale because they require skilled human facilitators. This study tests whether AI can approximate the effects of these interventions. Using OpenAI's GPT-4o, we developed a messaging-based intervention that engaged US participants in individualized, morally aligned dialogs about transgender rights. In a preregistered experiment, these AI-mediated conversations signi", "authors": "Charles Crabtree, John Holbein, Mitchell Bosley, Semra Sevi", "category": "research", "topics": null, "published_at": "2026-06-29T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10040" }, { "id": 10013, "url": "https://doi.org/10.1016/j.chbr.2026.101181", "title": "Relationships in the age of AI: A review on the opportunities and risks of synthetic relationships to reduce loneliness", "summary": "Loneliness is a pressing global health issue, yet traditional interventions often fall short due to scalability limitations and the individualized experiences of loneliness. The rise of generative artificial intelligence (AI) has enabled synthetic relationships (SRs)—ongoing associations with AI companions designed to simulate human-like social bonds. SRs offer, among other aspects, constant availability, adaptability, and emotional responsiveness, which potentially address loneliness. However, ", "authors": "Alfio Ventura, Christopher Starke, Francesca Righetti, Nils Köbis", "category": "research", "topics": "healthcare", "published_at": "2026-06-25T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10013" }, { "id": 10061, "url": "https://doi.org/10.1007/s10462-026-11590-x", "title": "AI safety landscape for large language models: taxonomy, state-of-the-art, and future directions", "summary": "AI safety is an emerging field of critical importance for the secure adoption and deployment of AI systems. With the recent advancements in large language models (LLMs), the technological landscape surrounding the design, development, and deployment of AI systems has undergone significant change. The failure of AI systems at one organization, or AI risks undertaken by one organization, can propagate down the AI technology supply chain, affect the entire AI ecosystem, and potentially lead to coll", "authors": "Chen Chen, Xueluan Gong, Ziyao Liu, W.M. Wang L.H. Jiang, Si Qi Goh, Kwok‐Yan Lam", "category": "research", "topics": "safety-alignment", "published_at": "2026-06-16T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10061" }, { "id": 9931, "url": "https://doi.org/10.5281/zenodo.20629952", "title": "Lehigh University: Comprehensive AI Governance & Activity Inventory", "summary": "A 188-page public-source inventory of artificial intelligence governance, teaching, research, and operations at Lehigh University. Evidence snapshot date: June 10, 2026. The document records what the university has said and done publicly about AI as of that date. It is not an audit, maturity assessment, or scorecard. Part I covers ten institutional domains: governance architecture, policy infrastructure, teaching and learning posture, tool ecosystem and procurement, academic integrity, research ", "authors": "Tommy Turner", "category": "research", "topics": "regulation,transparency", "published_at": "2026-06-10T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9931" }, { "id": 9961, "url": "https://doi.org/10.1016/j.actpsy.2026.107094", "title": "Charting cross-cultural AI perception: An exploratory study of expectations, risk–benefit trade-offs, and values in Germany and China", "summary": "=.839). Visual cognitive maps illustrate these contrasts, offering new perspectives on how cultural contexts shape AI acceptance. Our findings suggest factors influencing public perception and provide pointers for future research to align AI with societal values and promote equitable and culturally sensitive integration of AI technologies.", "authors": "Philipp Brauner, Felix Glawe, Gian Luca Liehner, Luisa Vervier, Martina Ziefle", "category": "research", "topics": null, "published_at": "2026-06-09T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9961" }, { "id": 9989, "url": "https://doi.org/10.61969/jai.1886128", "title": "Are We All Musicians Now? Authenticity, Musicianship, and AI Music Generator Suno", "summary": "This paper examines the authenticity of music and the musicianship related to Suno, an artificial intelligence (AI) music generator. Suno was introduced in late 2023, and its latest version (v5.5) was released on March 26, 2026. The platform was developed by AI experts and musicians based in Cambridge, MA. Suno does not engage in conventional practices of composing, songwriting, performing, or recording. Instead, it generates music from user prompts via a text/audio/image/video-to-music interfac", "authors": "Selim Tan", "category": "research", "topics": null, "published_at": "2026-06-09T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9989" }, { "id": 9964, "url": "https://doi.org/10.1016/s1470-2045(26)00065-3", "title": "Cancer workforce—a global crisis: a Lancet Oncology Commission", "summary": "", "authors": "Hedvig Hricak, Zachary J. Ward, Fabio Ynoe Moraes, Andrew M Scott, Farouk Dako, Wilfred Ngwa", "category": "research", "topics": "jobs-economy", "published_at": "2026-05-31T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9964" }, { "id": 10056, "url": "https://doi.org/10.83056/mmu.32479188", "title": "Developing an augmented reality business model for cultural heritage tourism: the case of Geevor Museum", "summary": "The use of Augmented Reality (AR) in cultural heritage tourism has gained increased research attention, and studies identify many ways AR adds value to, and enhances the tourist experience. However, contrary to expectations and opportunities presented, AR adoption has been slower than predicted. It could be argued that the tourism sector is losing out of the benefits presented by AR, despite the fact adopting modern technologies is considered essential for tourist organisations to remain competi", "authors": "Eleanor E. Cranmer", "category": "research", "topics": null, "published_at": "2026-05-28T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10056" }, { "id": 10008, "url": "https://doi.org/10.83056/mmu.32434815", "title": "Effective leadership in implementing change in Arab culture: the case of the Abu Dhabi police", "summary": "Leadership has a direct influence on actions in the work environment that enable changes. The present study examines the views of employees on effective leadership in implementing change in the context of the Abu Dhabi Police (ADP). Employing a mixed-methods approach comprising the use of survey instruments, interviews and documents, the study identifies strengths and weaknesses in the ADP‘s leadership. Using a random sample of 288 ADP employees, the results of the survey, interviews and documen", "authors": "Saif Salem Alnuaimi", "category": "research", "topics": "environment", "published_at": "2026-05-27T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10008" }, { "id": 9935, "url": "https://doi.org/10.1609/icwsm.v20i1.42623", "title": "MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models", "summary": "Large language models (LLMs) are starting to complement traditional information seeking mechanisms such as web search. LLM-powered chatbots like ChatGPT are gaining prominence among the general public. AI chatbots are also increasingly producing content on social media platforms. However, LLMs are also prone to hallucinations, generating plausible yet factually incorrect or fabricated information. This becomes a critical problem when laypeople start seeking information about sensitive issues suc", "authors": "Vibhor Agarwal, Yiqiao Jin, Mohit Chandra, Munmun De Choudhury, Srijan Kumar, Nishanth Sastry", "category": "research", "topics": "healthcare", "published_at": "2026-05-25T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9935" }, { "id": 10027, "url": "https://doi.org/10.3233/faia260478", "title": "ChatGPT Is Not a Pocket Calculator – Problems of AI-Chatbots for Teaching Geography", "summary": "The recent success of large language models and AI chatbots such as ChatGPT in various knowledge domains has a severe impact on teaching and learning Geography. The underlying revolution is often compared to the introduction of pocket calculators, suggesting analogous adaptations that prioritize higher-level skills over other learning content. The success of such a strategy therefore rests on the assumption that lower-level learning goals are substitutable by AI, and assessments can be refocused", "authors": "Simon Scheider, Harm Bartholomeus, Judith A. Verstegen, Judith A. Verstegen", "category": "research", "topics": null, "published_at": "2026-05-21T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10027" }, { "id": 9929, "url": "https://doi.org/10.1080/0952813x.2026.2678591", "title": "What is ethical: AIHED driving humans or Human-Driven AIHED? A conceptual framework enabling the ‘ethos’ of AI-driven higher education", "summary": "Artificial Intelligence (AI) is transforming higher education (HE) through personalised learning, predictive analytics, and intelligent automation. However, concerns over algorithmic bias, privacy, and inequity necessitate governance models that prioritise Human Intelligence (HI). This study introduces the Human-Driven AI in Higher Education (HD-AIHED) framework, which embeds stakeholder-driven HI, particularly in decision-making and feedback across all five AI lifecycle phases: adoption (multi-", "authors": "Prashant Mahajan", "category": "research", "topics": "bias-fairness,regulation,privacy-surveillance,jobs-economy", "published_at": "2026-05-19T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9929" }, { "id": 9862, "url": "https://doi.org/10.1016/s0140-6736(26)00717-8", "title": "Polyendocrine metabolic ovarian syndrome, the new name for polycystic ovary syndrome: a multistep global consensus process", "summary": "Polyendocrine metabolic ovarian syndrome (PMOS), previously named polycystic ovary syndrome (PCOS), affects one in eight women. However, the term PCOS is inaccurate, implying pathological ovarian cysts, obscuring diverse endocrine and metabolic features, and contributing to delayed diagnosis, fragmented care, and stigma, while curtailing research and policy framing. Building on an international mandate for change, we outline an unprecedented, rigorous, multistep global consensus process for the ", "authors": "Helena J Teede, Mahnaz Bahri Khomami, Rachel Morman, Joop S E Laven, Anju E. Joham, Michael Costello", "category": "research", "topics": "regulation,healthcare", "published_at": "2026-05-12T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9862" }, { "id": 9876, "url": "https://doi.org/10.1007/s10278-026-01908-0", "title": "Recent Advances in Generative AI for Healthcare Applications", "summary": "", "authors": "Yasin Shokrollahi, Jose Colmenarez, Wenxi Liu, Sahar Yarmohammadtoosky, Matthew M. Nikahd, Pengfei Dong", "category": "research", "topics": "healthcare", "published_at": "2026-05-01T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9876" }, { "id": 9878, "url": "https://doi.org/10.31127/tuje.1838765", "title": "Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma", "summary": "DeepSeek v3, developed in China, was released in December 2024, followed by Alibaba’s Qwen 2.5 Max in January 2025 and Qwen3 235B in April 2025. These free and open-source models offer significant potential for academic writing and content creation. This study evaluates their academic writing performance by comparing them with ChatGPT, Gemini, Llama, Mistral, and Gemma. There is a critical gap in the literature concerning how extensively these tools can be utilized and their potential to generat", "authors": "Ömer Aydın, Enis Karaarslan, Fatih Safa Erenay, Nebojša Bačanin", "category": "research", "topics": null, "published_at": "2026-04-30T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9878" }, { "id": 9992, "url": "https://doi.org/10.1038/s41586-026-10410-0", "title": "Training language models to be warm can reduce accuracy and increase sycophancy", "summary": ". Here we show how this can create a significant trade-off: optimizing language models for warmth can undermine their performance, especially when users express vulnerability. We conducted controlled experiments on five different language models, training them to produce warmer responses, then evaluating them on consequential tasks. Warm models showed substantially higher error rates (+10 to +30 percentage points) than their original counterparts, promoting conspiracy theories, providing inaccur", "authors": "Lujain Ibrahim, Franziska Sofia Hafner, Luc Rocher", "category": "research", "topics": null, "published_at": "2026-04-29T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9992" }, { "id": 9872, "url": "https://doi.org/10.11647/obp.0090", "title": "Verdi in Victorian London", "summary": "<p>Now a byword for beauty, Verdi's operas were far from universally acclaimed when they reached London in the second half of the nineteenth century. Why did some critics react so harshly? Who were they and what biases and prejudices animated them? When did their antagonistic attitude change? And why did opera managers continue to produce Verdi's operas, in spite of their alleged worthlessness?</p><p>Massimo Zicari's Verdi in Victorian London reconstructs the reception of Verdi", "authors": "Massimo Zicari", "category": "research", "topics": null, "published_at": "2026-04-28T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9872" }, { "id": 10019, "url": "https://doi.org/10.1080/2331186x.2026.2661434", "title": "The role of metacognitive awareness as mediator and moderator in the nexus between self-regulated learning and mathematics achievement", "summary": "This study examines the mediating and moderating role of metacognitive awareness in the relationship between self-regulated learning and mathematics achievement of university students in Ghana. Although self-regulated learning has attracted attention as a predictor of academic performance, few studies have examined how metacognitive awareness interacts with self-regulated learning to influence mathematics achievement in the Ghanaian context. A quantitative cross-sectional design was employed. Da", "authors": "Isaac Davor, Francis Ohene Boateng, Franco Osei-Wusu, Aaron Osei Bosompem, Prince Osei-Tutu, Joseph Hamenu", "category": "research", "topics": "regulation,children-education", "published_at": "2026-04-25T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10019" }, { "id": 9873, "url": "https://doi.org/10.3390/electronics15091824", "title": "Bias in Large Language Models: Origin, Evaluation, and Mitigation", "summary": "Large language models (LLMs) have revolutionized natural language processing, but their susceptibility to biases poses significant challenges. This comprehensive review examines the landscape of bias in LLMs, from its origins to current mitigation strategies. We categorize biases as intrinsic and extrinsic, analyzing their manifestations in various natural language processing (NLP) tasks. The review critically assesses a range of bias evaluation methods, including data-level, model-level, and ou", "authors": "Yufei Guo, Muzhe Guo, Juntao Su, Zhou Yang, Mengqiu Zhu, Hongfei Li", "category": "research", "topics": "bias-fairness", "published_at": "2026-04-24T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9873" }, { "id": 9918, "url": "https://doi.org/10.1007/s10462-026-11553-2", "title": "Explainable artificial intelligence techniques for interpretation of food models: a review", "summary": "Abstract Artificial Intelligence (AI) has become essential for analyzing complex data and solving highly-challenging tasks. It is being applied across numerous disciplines beyond computer science, including Food Engineering, where there is a growing demand for accurate and reliable predictions to meet stringent food quality standards. However, this requires increasingly complex AI models, raising concerns. In response, eXplainable AI (XAI) has emerged to provide insights into AI decision-making,", "authors": "Leonardo Arrighi, Ingrid Alves de Moraes, Marco Zullich, Michele Simonato, Douglas Fernandes Barbin, Sylvio Barbon Junior", "category": "research", "topics": "transparency", "published_at": "2026-04-24T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9918" }, { "id": 9908, "url": "https://doi.org/10.5281/zenodo.19671839", "title": "AI in Virginia Higher Education: Public-Source Reference Guide for 30 Four-Year Institutions", "summary": "A 311-page public-source reference guide compiling publicly available information on how Virginia's four-year colleges and universities are addressing generative artificial intelligence in governance, teaching, academic integrity, research ethics, tool provisioning, and strategic planning. Coverage: 30 institutions across three groups: 6 public R1 research universities, 9 other public universities, and 15 private universities and colleges. Evidence snapshot: March 2026. Each institutional entry ", "authors": "Tommy Turner", "category": "research", "topics": "regulation,children-education", "published_at": "2026-04-20T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9908" }, { "id": 9887, "url": "https://doi.org/10.1177/2755323x261427048", "title": "AI-Powered Lawyering: AI Reasoning Models, Retrieval Augmented Generation, and the Future of Legal Practice", "summary": "Generative AI is set to transform the legal profession, though its most promising uses and ultimate effects are still unclear. While AI models like GPT-4 improve efficiency, they can also “hallucinate” and may undermine legal judgment, particularly in complex tasks typically handled by skilled lawyers. This article examines two emerging AI innovations that may mitigate these concerns: Retrieval Augmented Generation (RAG), which grounds AI-powered analysis in legal sources, and AI reasoning model", "authors": "Daniel Schwarcz, Sam Manning, Patrick Barry, David R. Cleveland, J.C. Prescott, Beverly Rich", "category": "research", "topics": null, "published_at": "2026-04-09T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9887" }, { "id": 10029, "url": "https://doi.org/10.1145/3807946", "title": "A Survey of Large Language Models for Arabic Language and its Dialects", "summary": "This survey presents a comprehensive review of Large Language Models (LLMs) developed for the Arabic language and its dialects. It categorizes models by architecture (encoder-only, decoder-only, and encoder-decoder) and by linguistic form, including Classical Arabic, Modern Standard Arabic, and Dialectal Arabic. We analyze monolingual, bilingual, and multilingual models, evaluating their performance on tasks such as sentiment analysis, named entity recognition, and question answering. The survey", "authors": "Malak Mashaabi, Shahad Al-Khalifa, Hend S. Al‐Khalifa", "category": "research", "topics": null, "published_at": "2026-04-09T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10029" }, { "id": 9867, "url": "https://doi.org/10.1016/j.patter.2026.101517", "title": "The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence", "summary": "The risks posed by artificial intelligence (AI) concern academics, auditors, policymakers, AI companies, and the public. Researchers, policymakers, and technology companies discuss AI risks using inconsistent terminology-the same word may describe different problems, while different words describe identical concerns. This fragmentation impedes coordinated responses to AI challenges. We address this by creating the AI Risk Repository: a living database of 1,725 risks extracted from 74 existing ta", "authors": "Peter Slattery, Alexander K. Saeri, Emily A. C. Grundy, Jess Graham, Michael Noetel, Risto Uuk", "category": "research", "topics": "transparency", "published_at": "2026-03-30T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9867" }, { "id": 9890, "url": "https://doi.org/10.1145/3800677", "title": "Data-Centric Foundation Models in Computational Healthcare: A Survey", "summary": "The advent of foundation models (FMs) as an emerging suite of AI techniques has struck a wave of opportunities in computational healthcare. The interactive nature of these models, guided by pre-training data and human instructions, has ignited a data-centric AI paradigm that emphasizes better data characterization, quality, and scale. In healthcare AI, obtaining and processing high-quality clinical data records has been a longstanding challenge, encompassing data quantity, annotation, patient pr", "authors": "Yunkun Zhang, Jin Gao, Zheling Tan, Lingfeng Zhou, Kexin Ding, Mu Zhou", "category": "research", "topics": "healthcare", "published_at": "2026-03-28T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9890" }, { "id": 9927, "url": "https://doi.org/10.1186/s40468-026-00445-5", "title": "Unpacking EFL teachers’ perceived opportunities and challenges of multimodal AI-driven language testing", "summary": "While Artificial Intelligence (AI) has significantly transformed L2 testing and assessment, empirical research into how EFL practitioners perceive the specific opportunities and challenges of these tools remains limited. To address this gap, this phenomenological qualitative study investigated experienced English as a foreign language (EFL) teachers’ perceptions regarding the opportunities and challenges of multimodal AI-driven testing. Grounded in Expectancy-Value Theory (EVT), data were collec", "authors": "Ali Derakhshan, Gurpinder Singh Lalli, Yujong Park", "category": "research", "topics": "finance-investment", "published_at": "2026-03-26T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9927" }, { "id": 9957, "url": "https://doi.org/10.3390/e28040377", "title": "Human-in-the-Loop Artificial Intelligence: A Systematic Review of Concepts, Methods, and Applications", "summary": "The integration of human judgment into artificial intelligence (AI) systems has emerged as a key research direction, particularly for high-stakes applications where full automation remains insufficient. Human-in-the-Loop (HITL) AI represents a field that combines machine learning capabilities with human oversight, feedback, and decision-making at various stages of the AI pipeline. This survey provides a systematic review of HITL approaches, covering theoretical foundations, technical methods, et", "authors": "Konstantinos Lazaros, Aristidis G. Vrahatis, Sotiris Kotsiantis", "category": "research", "topics": "jobs-economy", "published_at": "2026-03-26T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9957" }, { "id": 10038, "url": "https://doi.org/10.1038/s40494-026-02458-y", "title": "Community-engaged digital safeguarding of intangible cultural heritage: a review of methods and challenges", "summary": "This review, guided by the Technology-Community Synergy Framework (TCSF), synthesizes 79 studies (2010–2025) on digital intangible cultural heritage (ICH) safeguarding. Effective preservation requires synergizing digital methods with community participation to enhance ICH’s liveness; technology-focused but community-shallow projects risk digital fossilization. Key challenges like the digital divide are examined. The TCSF operationalizes UNESCO’s people-centered ethos for equitable, sustainable I", "authors": "Yue-Cheng Tan, Ling-Hui Yang, Bin Wang", "category": "research", "topics": null, "published_at": "2026-03-26T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10038" }, { "id": 10059, "url": "https://doi.org/10.1002/tesj.70122", "title": "The EAP‐AIAS: Adapting the AI Assessment Scale for English for Academic Purposes", "summary": "ABSTRACT The advancement of Generative Artificial Intelligence (GenAI) is complicating traditional techniques in English for Academic Purposes (EAP) instruction. This paper proposes a novel adaptation of an existing scale (the AI Assessment Scale), which is designed to facilitate effective learning and assessment in the era of GenAI. We label this the EAP AI Assessment Scale (EAP‐AIAS). The EAP‐AIAS consists of five levels, ranging from “No AI” to “Full AI,” each delineating appropriate GenAI us", "authors": "Jasper Roe, Mike Perkins, Yulia Tregubova", "category": "research", "topics": null, "published_at": "2026-03-26T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10059" }, { "id": 9864, "url": "https://doi.org/10.1038/s41586-026-10265-5", "title": "Towards end-to-end automation of AI research", "summary": "Abstract The automation of science is a long-standing ambition in artificial intelligence (AI) research 1,2 . Although the community has made substantial progress in automating individual components of the scientific process, a system that autonomously navigates the entire research life cycle—from conception to publication—has remained out of reach. Here we present a pipeline for automating the entire scientific process end to end. We present The AI Scientist, which creates research ideas, write", "authors": "Chris Lu, Cong Lu, R. T. Lange, Yutaro Yamada, Shengran Hu, Jakob Foerster", "category": "research", "topics": "jobs-economy", "published_at": "2026-03-25T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9864" }, { "id": 9928, "url": "https://doi.org/10.1186/s41239-026-00585-x", "title": "Pedagogical partnerships with generative AI in higher education: how dual cognitive pathways paradoxically enable transformative learning", "summary": "Abstract The rapid integration of generative artificial intelligence (GenAI) into higher education has precipitated a critical tension between the pursuit of efficiency and the imperative for deep, transformative learning. While GenAI offers unprecedented speed in knowledge processing, it raises concerns that efficiency-driven motivations may erode the cognitive struggle essential for intellectual growth. This study investigates how Human-GenAI pedagogical partnerships influence transformative l", "authors": "Shaofeng Wang, Hao Zhang", "category": "research", "topics": "children-education,finance-investment", "published_at": "2026-03-24T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9928" }, { "id": 10045, "url": "https://doi.org/10.3389/fmicb.2026.1776983", "title": "Biohacking the human gut microbiome for precision health and therapeutic innovation", "summary": "Biohacking, the self-directed application of biotechnology, digital tools, and lifestyle interventions, has rapidly converged with gut microbiome science to create adaptive, individualized, and minimally invasive precision-health paradigms. This narrative review integrates current evidence on diet-based modulation, microbial therapeutics (probiotics, prebiotics, postbiotics, and fecal microbiota transplantation), and synthetic-biology approaches (engineered strains and phage or synthetic consort", "authors": "Jhommara Bautista, Andrés López-Cortés", "category": "research", "topics": "healthcare,biotech", "published_at": "2026-03-24T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10045" }, { "id": 9896, "url": "https://doi.org/10.1007/s42438-026-00635-7", "title": "EdTech and the Environment: A Research Program", "summary": "Abstract The global EdTech market, valued at nearly USD 250 billion, generates not only revenue but substantial ecological and planetary costs that the EdTech scholarly community has insufficiently examined. This article argues that those working in and around EdTech bear a moral responsibility to move beyond (non)performative engagement with sustainable development goals toward serious, structural inquiry into the environmental impacts of EdTech. Drawing on a postdigital transdisciplinary frame", "authors": "Petar Jandrić, Jeremy Knox, Chrysi Rapanta, Sarah Hayes, Vasilis Kostakis, Sara Tolbert", "category": "research", "topics": "environment", "published_at": "2026-03-23T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9896" }, { "id": 9905, "url": "https://doi.org/10.1007/s00134-026-08361-1", "title": "Surviving Sepsis Campaign: international guidelines for management of sepsis and septic shock 2026", "summary": "Sepsis, life-threatening acute organ dysfunction due to infection [ 1 ], is a global health priority [ 2 , 3 ] with approximately 49 million cases and 13 million sepsis-related deaths each year [ 4 , 5 , 6 ]. Beyond being acutely deadly, sepsis contributes to new and worsened physical, cognitive, and mental health problems in many survivors [ 7 , 8 ]. Early identification and treatment are critical to improving outcomes.", "authors": "Hallie C. Prescott, Massimo Antonelli, Waleed Alhazzanic, Morten Hylander Møller, Fayez Alshamsi, Luciano C. P. Azevedo", "category": "research", "topics": "healthcare", "published_at": "2026-03-23T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9905" }, { "id": 9956, "url": "https://doi.org/10.5281/zenodo.19099778", "title": "GIGO and the Human Processor: A CHO Review", "summary": "This document is a peer review by Go Kian Tik — GKT (Mbah Hogi Bejo™) of Meriel B.’s 10-day research series. Meriel B. is an AI Ethics Researcher, AI Governance Specialist, and founder of AI.MIRROR. Her research covers ten domains: the global AI governance crisis (Day 1), structural AI bias against women (Day 2), ML-based child criminality prediction (Day 3), the collapse of voluntary compliance in a military context (Day 4), LinkedIn’s algorithmic bias (Day 5), AI hallucination on non-Latin scr", "authors": "Kian Tik Go", "category": "research", "topics": "bias-fairness,regulation,military-security,children-education", "published_at": "2026-03-18T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9956" }, { "id": 10048, "url": "https://doi.org/10.5281/zenodo.19115919", "title": "GIGO and the Human Processor: A Chief Humanity Officer Review", "summary": "This document is a peer review by Go Kian Tik — GKT (Mbah Hogi Bejo™) of Meriel B.’s 10-day research series. Meriel B. is an AI Ethics Researcher, AI Governance Specialist, and founder of AI.MIRROR. Her research covers ten domains: the global AI governance crisis (Day 1), structural AI bias against women (Day 2), ML-based child criminality prediction (Day 3), the collapse of voluntary compliance in a military context (Day 4), LinkedIn’s algorithmic bias (Day 5), AI hallucination on non-Latin scr", "authors": "Kian Tik Go", "category": "research", "topics": "bias-fairness,regulation,military-security,children-education", "published_at": "2026-03-18T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10048" }, { "id": 10051, "url": "https://doi.org/10.1038/s41598-026-41161-7", "title": "A hybrid deep learning approach integrating CNN and transformer for lung cancer classification using CT scans", "summary": "Lung cancer is an extremely fatal kind of cancer, resulting in the deaths of almost 7.6 million individuals annually around the globe. Nevertheless, a timely diagnosis is a crucial necessity for enhancing the likelihood of human survival. Regarding tumor identification, CT scans are normally used to identify affected areas. Nevertheless, CT imaging face significant problems such as poor visibility of tumor locations and high false negative rates. The small dataset size of medical imaging makes i", "authors": "Samia Nawaz Yousafzai, Inzamam Mashood Nasir, Sahar Mansour, Noha Negm, Asma A. Alhashmi, Mohannad Alharbi", "category": "research", "topics": "healthcare", "published_at": "2026-03-17T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10051" }, { "id": 10055, "url": "https://doi.org/10.1038/s41746-026-02547-z", "title": "Impact of AI misinformation on diagnostic accuracy and confidence calibration in novice medical students", "summary": "For novice medical learners, do the benefits of correct AI explanations outweigh the risks of plausible misinformation? In a randomized trial with 111 students, we found they do not. Our results reveal a significant and problematic asymmetry: misleading AI explanations significantly degraded diagnostic accuracy, while correct explanations offered no significant improvement over a no-explanation control. Misleading explanations reduced diagnostic accuracy and showed no evidence of confidence cali", "authors": "Da Teng, Lihua Tan, Qiyuan Cao, Yanwei Xia, Na Zhang, Jiantao Li", "category": "research", "topics": "misinformation,healthcare,children-education", "published_at": "2026-03-17T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10055" }, { "id": 9915, "url": "https://doi.org/10.1038/s41746-026-02517-5", "title": "The role of agentic artificial intelligence in healthcare: a scoping review", "summary": "Agentic AI represents a promising evolution of artificial intelligence in healthcare, with systems capable of operating autonomously to achieve defined clinical goals. However, the literature lacks conceptual clarity in distinguishing AI agents from Agentic AI, and few studies have rigorously explored their applications. We conducted a scoping review across five databases, identifying seven eligible studies spanning emergency medicine, oncology, radiology, and rehabilitation. The included system", "authors": "Bernardo G. Collaco, Syed Ali Haider, Srinivasagam Prabha, Cesar A. Gomez-Cabello, Ariana Genovese, Nadia Wood", "category": "research", "topics": "healthcare,agents-autonomy", "published_at": "2026-03-14T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9915" }, { "id": 9925, "url": "https://doi.org/10.3390/jcm15062208", "title": "Artificial Intelligence Applications in Gastric Cancer Surgery: Bridging Early Diagnosis and Responsible Precision Medicine", "summary": "Background: Artificial intelligence is emerging as a promising tool in surgical oncology, with growing evidence suggesting potential applications in diagnostic support, intraoperative guidance, and perioperative risk assessment. In gastric cancer surgery, emerging applications range from AI-assisted endoscopic detection to data-driven perioperative risk prediction, while some technological developments, particularly in robotic autonomy, derive from broader surgical or experimental models that ma", "authors": "Silvia Malerba, Miljana Vladimirov, Aman Goyal, Audrius Dulskas, Augustinas Baušys, Tomasz Cwalinski", "category": "research", "topics": "healthcare,agents-autonomy", "published_at": "2026-03-13T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9925" }, { "id": 9894, "url": "https://doi.org/10.3389/fimmu.2026.1751463", "title": "Experimental study on synergistic pulses improving the tumor microenvironment and assisting immunotherapy", "summary": "Objective The development and metastasis of tumors depend on the highly complex and heterogeneous tumor microenvironment (TME). Synergistic pulsed electric fields refer to a sequential combination of high-voltage nanosecond pulses and low-voltage microsecond pulses. No systematic research has been reported on the ameliorative effect of this field on the TME and the related mechanisms. This study used tumor-bearing models established with male Balb/c nude mice and male C57BL/6 mice as research su", "authors": "Shoulong Dong, Z. D. Liu, Zetong Wang, Xinyu Peng, Qinyu Huang, Haobo Yang", "category": "research", "topics": null, "published_at": "2026-03-11T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9894" }, { "id": 9903, "url": "https://doi.org/10.66104/3tpspj52", "title": "MATRIZ DE POTENCIALIDADES: INTELIGÊNCIA ARTIFICIAL E O DESENVOLVIMENTO DE COMPETÊNCIAS DIGITAIS NO ENSINO DE MATEMÁTICA", "summary": "O presente artigo investiga a Inteligência Artificial (IA) como ferramenta estratégica para o desenvolvimento das Competências Digitais Docentes (CDD) no ensino de Matemática. A problemática central questiona como a IA pode auxiliar no desenvolvimento dessas competências sob a ótica do quadro europeu DigCompEdu. O objetivo é propor uma Matriz de Potencialidades que integre o referencial teórico do DigCompEdu com as funcionalidades de ferramentas de IA (como ChatGPT, Gemini e GeoGebra). Metodolog", "authors": "Silvio Luiz Rutz da Silva, Roberto Batista Conrado", "category": "research", "topics": "finance-investment", "published_at": "2026-03-11T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9903" }, { "id": 10041, "url": "https://doi.org/10.17869/enu.453191", "title": "A Framework for Improvement of Contractor Selection Procedures on Major Construction Project in Libya.", "summary": "The construction sector constitutes one of the most important sectors in the economy of any country. Contractor selection is a critical decision that is undertaken by client organisations and is central to the success of any construction project. For major construction projects, final contractor selection often follows the contractor selection stage. Contractor selection is a process which involves investigating, screening and determining whether candidate contractors have the technical and fina", "authors": "Othoman Elsayah", "category": "research", "topics": "jobs-economy,finance-investment", "published_at": "2026-03-11T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10041" }, { "id": 9869, "url": "https://doi.org/10.1038/s41598-026-39632-y", "title": "Optimizing solar and wind forecasting with iHow optimization algorithm and multi-scale attention networks", "summary": "Deep learning models often encounter two key challenges in developing intelligent and scalable forecasting frameworks for renewable energy systems: input feature space dimensionality and sensitivity to hyperparameter settings. These limitations increase computational cost and compromise generalization and robustness. This paper presents a hybrid deep learning-optimization framework that leverages cognitively inspired metaheuristics to address these challenges, employing the Binary iHow Optimizat", "authors": "Marwa Radwan, Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, M. A. Abdelsalam, Amel Ali Alhussan, Ebrahim Abdulla Mattar, El-Sayed M. El-Kenawy", "category": "research", "topics": "environment", "published_at": "2026-03-10T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9869" }, { "id": 10026, "url": "https://doi.org/10.1038/s44360-026-00082-5", "title": "Safety of a large language model-based clinical decision support system in African primary healthcare", "summary": "Here we conducted a retrospective evaluation of an electronic medical record-embedded large language model clinical decision support system deployed across 16 primary care clinics in Kenya, between July and September 2024. A panel of trained physicians reviewed 1,469 records. Hallucinations were uncommon, occurring in 50 encounters (3.4%, 95% confidence interval (CI) 2.5-4.5), and most often involved misexpanded acronyms or drug names. Clinical management guidance aligned with local guidelines i", "authors": "Ambrose Agweyu, Paul Mwaniki, Wilkister Musau, Robert Korom, Lynda Isaaka, Conrad Wanyama", "category": "research", "topics": "healthcare", "published_at": "2026-03-10T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10026" }, { "id": 9965, "url": "https://doi.org/10.58256/ppfy4k96", "title": "Governing Legal Chatbots: Ethics, Professional Responsibility, and Liability in Comparative Perspective", "summary": "Client intake, information retrieval, document assembly, and litigation assistance, among other legal functions, have seen deployment of Artificial Intelligence legal chatbots in legal care delivery. With substantial legal efficiency and access to justice improvements, these tools also pose major legal, ethical, and liability risks. Unlike other legal technologies, legal chatbots lie at the crossroads of the practice of law, consumer protection and automation; oversight of which can have negativ", "authors": "Enas Qutieshat, Majed Ahmed Saleh Al Adwan, Abdulla Abdulamir Ali Alshibli, Yassine Chami, Maya Khater", "category": "research", "topics": "regulation,jobs-economy", "published_at": "2026-03-06T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/9965" }, { "id": 10002, "url": "https://doi.org/10.1038/s44387-026-00076-4", "title": "AI agent in healthcare: applications, evaluations, and future directions", "summary": "With the rapid advancement of large language model (LLM) technologies, AI agents have rapidly emerged in healthcare. This review traces the historical evolution and core characteristics of AI agents, and systematically examines their applications in assisted diagnosis, clinical decision support, medical report generation, patient-facing chatbots, healthcare system management, and medical education. We further analyze existing evaluation frameworks for AI agents in healthcare, focusing on key dim", "authors": "Lina Zhao, Shengrui Liu, Tangsiwei Xin, Jiawen Tan, Xiaoran Wang, Yafang Li", "category": "research", "topics": "healthcare,children-education,agents-autonomy", "published_at": "2026-03-05T00:00:00.000Z", "source": "OpenAlex", "ethics_ai_record_url": "https://ethics.ai/record/10002" } ], "attribution": "via ethics.ai" }