{ "count": 50, "items": [ { "id": 20217, "url": "https://www.hollywoodreporter.com/tv/tv-news/cbs-news-matt-gutman-accused-harassment-abc-news-1236674408", "title": "CBS News Chief Correspondent Matt Gutman Accused of Harassment in Wrongful-Termination Suit by Former ABC News Producer", "summary": "The female ex-ABC News staffer also alleges the network denied her medical accommodations.", "authors": "Lexi Carson", "category": "news", "topics": "healthcare", "published_at": "2026-08-15T21:46:49.000Z", "source": "Hollywood Reporter (AI/entertainment)", "ethics_ai_record_url": "https://ethics.ai/record/20217" }, { "id": 20204, "url": "https://variety.com/2026/tv/news/selena-gomez-slams-wondermind-lawsuit-file-to-dismiss-1236835495", "title": "Selena Gomez Slams ‘Completely Meritless’ Wondermind Lawsuit, Will File to Dismiss ‘Baseless Claims’", "summary": "Selena Gomez and her legal team have released a fiery statement after the “Only Murders in the Building” star was accused of defrauding investors in her mental health startup, Wondermind, in a federal lawsuit filed Thursday. “The allegations that Selena Gomez engaged in any way whatsoever in any purported ‘fraud’ or other wrongdoing are completely […]", "authors": "Jack Dunn", "category": "news", "topics": "healthcare,finance-investment", "published_at": "2026-08-15T18:55:37.000Z", "source": "Variety (AI)", "ethics_ai_record_url": "https://ethics.ai/record/20204" }, { "id": 20174, "url": "https://time.com/article/2026/08/15/eggs-recalled-for-salmonella-upgraded-to-highest-fda-risk-level", "title": "Salmonella Egg Recall Is Now Class I, the FDA’s Highest Risk Level", "summary": "The heightened risk classification comes as health officials investigate a multistate outbreak that has sickened nearly 100 people.", "authors": "Rebecca Schneid", "category": "news", "topics": "healthcare,finance-investment", "published_at": "2026-08-15T15:47:35.000Z", "source": "Time Tech", "ethics_ai_record_url": "https://ethics.ai/record/20174" }, { "id": 20176, "url": "https://time.com/article/2026/08/15/the-most-important-thing-ai-cannot-do-in-medicine", "title": "The Most Important Thing AI Can’t Do in Medicine", "summary": "Great physicians are curious about the patient in front of them, and that curiosity is what drives them to dig deeper, writes Dr. Natasha Chida.", "authors": "Dr. Natasha Chida", "category": "news", "topics": "healthcare", "published_at": "2026-08-15T10:00:03.000Z", "source": "Time Tech", "ethics_ai_record_url": "https://ethics.ai/record/20176" }, { "id": 19535, "url": "https://www.federalregister.gov/documents/2026/08/17/2026-16727/hematology-and-pathology-devices-reclassification-of-in-situ-hybridization-test-systems-for-use-with", "title": "Hematology and Pathology Devices; Reclassification of In Situ Hybridization Test Systems for Use With a Corresponding Approved Oncology Therapeutic Product", "summary": "The Food and Drug Administration (FDA, the Agency, or we) is issuing a final order reclassifying in situ hybridization (ISH) test systems indicated for use with a corresponding approved oncology therapeutic product (product codes NYQ, MVD, OWE, and PNK), all postamendments class III (premarket approval) devices, into class II (special controls), subject to premarket notification. FDA is also establishing a new device classification regulation, along with the special controls that are necessary t", "authors": null, "category": "policy", "topics": "regulation,healthcare", "published_at": "2026-08-15T05:10:17.122Z", "source": "US Federal Register", "ethics_ai_record_url": "https://ethics.ai/record/19535" }, { "id": 19558, "url": "https://www.jmir.org/2026/1/e97536", "title": "Health System- and Payer-Level Decision-Making Processes Influencing the Adoption and Sustainability of Patient-Facing Digital Health Tools: Qualitative Study", "summary": "Background: Patient-facing digital health tools such as mobile health apps, wearables, and digital therapeutics have expanded rapidly and show promise for improving chronic disease management. Despite increasing evidence of effectiveness, health systems and payers continue to face challenges integrating these tools into routine care. Objective: This study examined the decision-making processes of health system and payer leaders regarding the adoption and sustainability of patient-facing digital", "authors": "Mallory Herzog, Linda S Park, Andrew Quanbeck", "category": "research", "topics": "healthcare", "published_at": "2026-08-14T21:00:18.000Z", "source": "JMIR (Journal of Medical Internet Research)", "ethics_ai_record_url": "https://ethics.ai/record/19558" }, { "id": 19559, "url": "https://www.jmir.org/2026/1/e97672", "title": "Predicting Critical Outcomes in Suspected Cardiopulmonary Emergencies Using Dispatch Narratives: Temporal Validation Study", "summary": "Background: Early risk stratification in emergency medical services (EMS) is essential for patients presenting with acute cardiopulmonary symptoms, yet prehospital decision-making at the dispatch stage is often based on limited structured information. Free-text dispatch narratives may contain additional clinical signals, but their role in early risk assessment remains insufficiently characterized. Objective: This study aims to develop and temporally validate a natural language processing–assiste", "authors": "Zhe Li, Lei Shi, Chunting Luo, Siqi Huang, Jianmin Qin, Min Yao, Sanshan Zhu, Zhengzhuang Huang, Yinghua Nong, Guozheng Qiu, Liwen Lyu", "category": "research", "topics": "healthcare", "published_at": "2026-08-14T20:30:13.000Z", "source": "JMIR (Journal of Medical Internet Research)", "ethics_ai_record_url": "https://ethics.ai/record/19559" }, { "id": 19560, "url": "https://www.jmir.org/2026/1/e91215", "title": "Advancing Evidence-Based Medicine for Population, Intervention, Comparison, and Outcome Element Recognition and Extraction in Medical Literature: Large Language Model Approach", "summary": "Background: The exponential expansion of biomedical literature has created an urgent need for efficient methods to recognize and extract population, intervention, comparison, and outcome (PICO) elements—the foundational elements of evidence-based medicine. Objective: This study systematically evaluated 2 complementary approaches for automating PICO recognition and extraction in medical literature: prompt engineering optimization and parameter-efficient fine-tuning (PEFT) of large language models", "authors": "Zeyuan Hao, Yifan Duan, Yu Wang", "category": "research", "topics": "healthcare", "published_at": "2026-08-14T20:00:19.000Z", "source": "JMIR (Journal of Medical Internet Research)", "ethics_ai_record_url": "https://ethics.ai/record/19560" }, { "id": 19561, "url": "https://www.jmir.org/2026/1/e96072", "title": "An mHealth Intervention Promoting Physical Activity to Reduce Psychological Distress Among Workers: Randomized Controlled Trial", "summary": "Background: Although mobile health (mHealth) interventions serve as potential solutions for addressing mental health problems, evidence on whether mHealth interventions targeting physical activity can reduce psychological distress among generally healthy workers is limited. Objective: This study aimed to investigate the effectiveness of a stand-alone smartphone app, which passively monitors physical activity and psychological distress, in reducing psychological distress among workers. Methods: T", "authors": "Kazuhiro Watanabe, Akiomi Inoue, Asuka Sakuraya, Kotaro Imamura, Toru Yoshikawa, Akizumi Tsutsumi", "category": "research", "topics": "healthcare,finance-investment", "published_at": "2026-08-14T19:30:12.000Z", "source": "JMIR (Journal of Medical Internet Research)", "ethics_ai_record_url": "https://ethics.ai/record/19561" }, { "id": 19568, "url": "https://thehill.com/policy/energy-environment/6030328-epa-chemical-approval-lawsuit", "title": "EPA sued for approving semiconductor chemicals that may pose health risks", "summary": "Environmental and community groups sued the Trump administration on Friday over its approval of two chemicals for use in semiconductors despite posing health risks. The Environmental Protection Agency (EPA) recently approved the two unnamed chemicals for use in the semiconductor industry even though it also found potential risks to workers and the general public. The...", "authors": "Rachel Frazin", "category": "news", "topics": "healthcare,environment", "published_at": "2026-08-14T17:23:42.000Z", "source": "The Hill Technology", "ethics_ai_record_url": "https://ethics.ai/record/19568" }, { "id": 19563, "url": "https://www.jmir.org/2026/1/e109041", "title": "Beyond Kimi K3: Spillover Effects of Frontier AI Competition on Health Care", "summary": null, "authors": "Tejas S Athni", "category": "research", "topics": "healthcare", "published_at": "2026-08-14T16:45:06.000Z", "source": "JMIR (Journal of Medical Internet Research)", "ethics_ai_record_url": "https://ethics.ai/record/19563" }, { "id": 19688, "url": "https://www.bloomberg.com/news/articles/2026-08-14/mangione-pleads-guilty-in-us-case-tries-to-stop-murder-trial", "title": "Mangione Pleads Guilty in US Case, Tries to Stop Murder Trial", "summary": "Minutes after Luigi Mangione admitted in federal court that he fatally shot a prominent healthcare executive, his lawyers turned to trying to end the New York state murder case against him, saying he ...", "authors": null, "category": "news", "topics": "healthcare", "published_at": "2026-08-14T14:22:00.000Z", "source": "Bloomberg Technology", "ethics_ai_record_url": "https://ethics.ai/record/19688" }, { "id": 19683, "url": "https://www.medianama.com/2026/08/223-personality-rights-delhi-hc-aaradhya-bachchan", "title": "‘Personality rights is acquiring amoebic proportions,’ says Delhi HC in Aaradhya Bachchan case", "summary": "Delhi HC questions the expanding scope of personality rights while hearing Aaradhya Bachchan’s case over false health claims and allegedly defamatory online content. The post ‘Personality rights is acquiring amoebic proportions,’ says Delhi HC in Aaradhya Bachchan case appeared first on MEDIANAMA .", "authors": "Azdhan", "category": "news", "topics": "healthcare", "published_at": "2026-08-14T08:11:04.000Z", "source": "MediaNama (IN)", "ethics_ai_record_url": "https://ethics.ai/record/19683" }, { "id": 19685, "url": "https://www.euractiv.com/news/big-tech-could-reshape-healthcare-faster-than-regulators-expect-warns-mep", "title": "Big tech could reshape healthcare faster than regulators expect, warns MEP", "summary": "The European Parliament's health committee chair says AI and biofoundries could fundamentally change drug development, forcing Europe to rethink pharmaceutical policy ...", "authors": null, "category": "news", "topics": "regulation,healthcare,biotech", "published_at": "2026-08-14T07:41:00.000Z", "source": "Euractiv Digital", "ethics_ai_record_url": "https://ethics.ai/record/19685" }, { "id": 19665, "url": "https://www.scmp.com/economy/article/3363993/rich-chinese-embrace-domestic-high-end-evs-tech-and-driving-experience-eclipse-prestige", "title": "Rich Chinese embrace domestic high-end EVs as tech and driving experience eclipse prestige", "summary": "For Eric Huang, a Guangdong-based healthcare entrepreneur who owns a Lamborghini Aventador and a Tesla Model S Plaid, the appeal of Chinese premium electric vehicles (EVs) has grown as their technology has caught up with his expectations. “I hold electric cars to strict safety standards, so I used to stick to Tesla,” Huang said. But he added that domestic brands had now met his standards. His next purchase, he said, would be a six-seat premium electric minivan equivalent from a Chinese brand,...", "authors": "He Huifeng", "category": "news", "topics": "healthcare", "published_at": "2026-08-14T07:00:08.000Z", "source": "SCMP Tech (HK/CN)", "ethics_ai_record_url": "https://ethics.ai/record/19665" }, { "id": 19655, "url": "https://www.golem.de/news/gesundheit-amble-health-verkauft-notfallset-gegen-strahlenkrankheit-2608-211927.html", "title": "Gesundheit: Amble Health verkauft Notfallset gegen Strahlenkrankheit", "summary": "Das Start-up Amble verkauft ein Set mit Medikamenten f�r Strahlungsf�lle. Experte Alex Wellerstein kritisiert das Angebot. ( Wissen )", "authors": null, "category": "news", "topics": "healthcare", "published_at": "2026-08-14T06:50:02.000Z", "source": "Golem (DE)", "ethics_ai_record_url": "https://ethics.ai/record/19655" }, { "id": 19250, "url": "https://www.jmir.org/2026/1/e93892", "title": "Radiomics-Based AI for Predicting Neoadjuvant Immunochemotherapy Pathological Response in Non–Small Cell Lung Cancer: Systematic Review and Meta-Analysis", "summary": "Background: Non–small cell lung cancer (NSCLC) remains the leading cause of cancer-related mortality worldwide. Accurate early prediction of response to neoadjuvant therapy is critical. Objective: We aimed to evaluate the diagnostic performance of radiomics-based AI in predicting pathological complete response (pCR) and major pathological response (MPR) following neoadjuvant immunochemotherapy in NSCLC and to compare it against traditional radiological criteria. Methods: A systematic search of P", "authors": "Ziqi Jiang, Yuan Xu, Shuyu Jia, Hongsheng Liu", "category": "research", "topics": "healthcare", "published_at": "2026-08-14T04:00:18.000Z", "source": "JMIR (Journal of Medical Internet Research)", "ethics_ai_record_url": "https://ethics.ai/record/19250" }, { "id": 19114, "url": "https://arxiv.org/abs/2608.12360", "title": "Regulatory Approval Is Not Enough: Gaps in Trustworthy AI Reporting in FDA-Cleared Medical Devices", "summary": "arXiv:2608.12360v1 Announce Type: new Abstract: Background: AI/ML-enabled medical devices are increasingly deployed in healthcare under evolving regulatory frameworks. As these systems become more integrated into clinical decision-making, there is growing expectation that they demonstrate key dimensions of trustworthy AI to support clinician, patient, and public trust. Whether publicly available regulatory documentation provides sufficient evidence to independently assess the trustworthiness of", "authors": "Ahmed M Salih, Oliver D\\'iaz, Alejandro Guzman, Noah Marquez Vara, Fotios Avgoustidis, Rituraj Singh, Saman Barakat, Zahra Raisi-Estabragh, Karim Lekadir", "category": "research", "topics": "regulation,healthcare", "published_at": "2026-08-14T04:00:00.000Z", "source": "arXiv cs.CY", "ethics_ai_record_url": "https://ethics.ai/record/19114" }, { "id": 19122, "url": "https://arxiv.org/abs/2608.12323", "title": "Why Do AI Agents Break Rules? How Framing, Context, and Social Signals Shape Compliance", "summary": "arXiv:2608.12323v1 Announce Type: cross Abstract: Specifying a penalty can paradoxically convert a legal obligation into a cost-benefit calculation that favors violation. We demonstrate that this enforcement information paradox systematically occurs in AI agents. While most AI safety evaluations test whether models fail, we investigate why, applying compliance theory from law and economics as a diagnostic tool. We treat compliance theories not as metaphors but as empirical hypotheses and show th", "authors": "Mika Okamoto, Ansel Kaplan Erol, Kutluhan Erol", "category": "research", "topics": "regulation,safety-alignment,healthcare,agents-autonomy", "published_at": "2026-08-14T04:00:00.000Z", "source": "arXiv cs.CY", "ethics_ai_record_url": "https://ethics.ai/record/19122" }, { "id": 19128, "url": "https://arxiv.org/abs/2603.00048", "title": "MOSAIC: Unveiling the Moral, Social and Individual Dimensions of Large Language Models", "summary": "arXiv:2603.00048v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly deployed in sensitive applications including psychological support, healthcare, and high-stakes decision-making. This expansion has motivated growing research into the ethical and moral foundations underlying LLM behavior, raising critical questions about their reliability in ethical reasoning. However, existing studies and benchmarks rely almost exclusively on Moral Foundation Theory (MFT), largely", "authors": "Erica Coppolillo, Emilio Ferrara", "category": "research", "topics": "healthcare", "published_at": "2026-08-14T04:00:00.000Z", "source": "arXiv cs.CY", "ethics_ai_record_url": "https://ethics.ai/record/19128" }, { "id": 20137, "url": "https://www.everycrsreport.com/reports/IF12352.html", "title": "Office of the National Coordinator for Health Information Technology (ONC)", "summary": null, "authors": null, "category": "policy", "topics": "healthcare", "published_at": "2026-08-14T04:00:00.000Z", "source": "US Congressional Research Service (EveryCRSReport)", "ethics_ai_record_url": "https://ethics.ai/record/20137" }, { "id": 19423, "url": "https://www.hollywoodreporter.com/news/general-news/jenna-ortega-sister-reacts-discourse-actress-appearance-1236673428", "title": "Jenna Ortega’s Sister Reacts to Public Discourse Over ‘Wednesday’ Star’s Appearance", "summary": "A recent video interview with 'Esquire' has led to a wave of online commentary about Ortega's health and body.", "authors": "Carly Thomas", "category": "news", "topics": "healthcare", "published_at": "2026-08-14T02:23:08.000Z", "source": "Hollywood Reporter (AI/entertainment)", "ethics_ai_record_url": "https://ethics.ai/record/19423" }, { "id": 19427, "url": "https://www.scmp.com/tech/tech-trends/article/3363966/chinese-doctor-stuns-maths-world-cracking-decades-old-problem-using-chatgpt", "title": "Chinese doctor stuns maths world by cracking decades-old problem using ChatGPT", "summary": "When Beijing-based neurosurgeon Jin Shanmu pulled up a chair at his computer, he was not looking to make mathematical history. He was simply trying to crack a problem related to brain ultrasounds. Instead, the self-taught maths enthusiast, with help from OpenAI’s latest flagship artificial intelligence (AI) model, solved a two-decade-old mathematical puzzle that had frustrated experts around the world since 2004. Jin, a postdoctoral researcher and resident at the Peking Union Medical College...", "authors": "Xinmei Shen", "category": "news", "topics": "healthcare", "published_at": "2026-08-14T02:00:12.000Z", "source": "SCMP Tech (HK/CN)", "ethics_ai_record_url": "https://ethics.ai/record/19427" }, { "id": 19251, "url": "https://www.jmir.org/2026/1/e106648", "title": "Digital Decisions: Enhancing Chronic Disease Self-Care Through Digital Health and AI-Enhanced Decision-Making", "summary": "Advances in digital health have dramatically changed how patients engage with their health. Rather than relying solely on periodic clinical visits, patients now have access to smartphones, patient portals, wearable devices, and mobile apps that provide support for day-to-day self-care decisions. This commentary discusses the findings of Longhini et al’s systematic review and meta-analysis on the effectiveness of digital health interventions, which found modest improvements in self-care monitorin", "authors": "Ashley C Griffin, Donna M Zulman", "category": "research", "topics": "healthcare", "published_at": "2026-08-13T21:30:06.000Z", "source": "JMIR (Journal of Medical Internet Research)", "ethics_ai_record_url": "https://ethics.ai/record/19251" }, { "id": 19252, "url": "https://www.jmir.org/2026/1/e91820", "title": "Digital Health Technology for Improving Physical Function in Adults With Chronic Heart Failure: Systematic Review and Meta-Analysis of Randomized Controlled Trials", "summary": "Background: Chronic heart failure (CHF) significantly impairs physical function and quality of life. Although exercise-based cardiac rehabilitation represents a primary therapeutic strategy, participation rates remain low due to logistical barriers. Digital health technologies (DHTs) offer a promising alternative to deliver home-based interventions. However, evidence regarding their specific impact on functional capacity versus daily physical behavior remains inconsistent. Objective: This system", "authors": "Zhe Meng, Juncai Li, Jing Yang, Yijia Lin, Qirui Zhang, Longjie Wei, Xiuling Zhou", "category": "research", "topics": "healthcare", "published_at": "2026-08-13T20:30:05.000Z", "source": "JMIR (Journal of Medical Internet Research)", "ethics_ai_record_url": "https://ethics.ai/record/19252" }, { "id": 19253, "url": "https://www.jmir.org/2026/1/e84378", "title": "Exploring Perceptions of Leveraging AI to Improve Outcomes in Maternal, Sexual, and Reproductive Health in Sub-Saharan Africa: Exploratory Qualitative Study", "summary": "Background: AI has the potential to transform health care in low- and middle-income countries, where access to quality care remains limited. Maternal, sexual, and reproductive health (MSRH) outcomes are especially poor due to resource shortages, financial barriers, and geographic inequities. With thoughtful implementation, AI could help address these gaps through innovations in diagnostics, health education chatbots, and telemedicine. However, responsible use is essential to ensure AI reduces, r", "authors": "Rachel King, Elizabeth Oseku, Cecilia Akatukwasa, Moreen Nanyonjo, Joshua Beinomugisha, Joan Akullo, Jackie Ssemata, Rosalind Parkes-Ratanshi", "category": "research", "topics": "healthcare,children-education", "published_at": "2026-08-13T20:15:11.000Z", "source": "JMIR (Journal of Medical Internet Research)", "ethics_ai_record_url": "https://ethics.ai/record/19253" }, { "id": 19436, "url": "https://arxiv.org/abs/2608.13476v1", "title": "MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination", "summary": "We present Multi-Agent Reasoning and Coordination (MARC), an open-source framework that replaces monolithic LLM prompting with deterministic multi-agent orchestration for clinical reasoning. MARC coordinates role-specialized agents for extraction, reasoning, answer generation, and evaluation, with explicit context passing and traceable intermediate outputs, enabling stage-wise failure attribution. We additionally introduce a Decomposer module that generates task-specific agent prompts from a pla", "authors": "Saisha Shetty, Satvik Tripathi, Austin Lin, Colin Zhao, Theodore Kim, Don Enwerem, Jacinta Arnold, Shahriar Faghani, Tessa S Cook", "category": "research", "topics": "healthcare,agents-autonomy", "published_at": "2026-08-13T17:00:08.000Z", "source": "arXiv cs.AI", "ethics_ai_record_url": "https://ethics.ai/record/19436" }, { "id": 19438, "url": "https://arxiv.org/abs/2608.13459v1", "title": "CAPRI: Contract-Aware Proof Repair for Isabelle", "summary": "We address the use of large language models (LLMs) to help discover Isabelle proofs. An Isabelle build establishes that the submitted theory is accepted, but not that an LLM changed only what the developer authorised. We present CAPRI, a contract-aware repair workflow in which Isabelle checks the proof and an independent checker enforces a machine-readable edit contract. Prompts, proposals, candidate repositories, diagnostics, verdicts, and hashes are retained for audit. We evaluate five workflo", "authors": "Jim Woodcock, Gabriel Leite, Augusto Sampaio, Ran Wei", "category": "research", "topics": "healthcare,transparency", "published_at": "2026-08-13T16:43:44.000Z", "source": "arXiv cs.AI", "ethics_ai_record_url": "https://ethics.ai/record/19438" }, { "id": 19447, "url": "https://arxiv.org/abs/2608.13283v1", "title": "Towards Context-Aware Clinical Motion Understanding in Daily Living at Home: Freezing of Gait Detection with Egocentric Vision", "summary": "Understanding motion in daily living requires context beyond kinematics, because similar inertial patterns during activities of daily living (ADLs) can reflect intentional stopping, object interaction, or pathological movement impairment. Egocentric vision provides task-related context that may help disambiguate these cases. We investigate this challenge through freezing of gait (FOG) detection in Parkinson's disease (PD), a symptom strongly influenced by contextual factors during ADLs. Using sy", "authors": "Vayalet Stefanova, Diwas Lamsal, Margot Genbrugge, Maxim Yudayev, Christian Schlenstedt, Moran Gilat, Bart Vanrumste, Benjamin Filtjens", "category": "research", "topics": "healthcare,finance-investment", "published_at": "2026-08-13T14:16:49.000Z", "source": "arXiv cs.AI", "ethics_ai_record_url": "https://ethics.ai/record/19447" }, { "id": 19448, "url": "https://arxiv.org/abs/2608.13267v1", "title": "How Do VLMs Behave When Blind or Misled? Behavioral Evaluation of VLMs on Scientific Figures", "summary": "Existing vision-language model (VLM) benchmarks emphasize perception and reasoning accuracy (how well VLMs describe and reason about what they see in an image), with limited attention to behavioral reliability under uncertainty (how they behave when visual evidence is missing or misleading). We introduce SciFigBench, a diagnostic VLM benchmark for scientific figure understanding that jointly evaluates perception, reasoning, and behavioral reliability under uncertainty. It contains 250 figures wi", "authors": "Paul Osemudiame Oamen, Owusu-Banahene Osei, Ananya Mukherjee, Christian Greisinger, Steffen Eger, Pius Onobhayedo, Wei Zhao", "category": "research", "topics": "healthcare", "published_at": "2026-08-13T14:06:35.000Z", "source": "arXiv cs.AI", "ethics_ai_record_url": "https://ethics.ai/record/19448" }, { "id": 19280, "url": "https://time.com/article/2026/08/13/the-rise-of-telehealth-pill-mills", "title": "The Rise of Telehealth 'Pill Mills'", "summary": "As people become accustomed to getting prescriptions online, sites are flourishing without much medical oversight.", "authors": "Alana Semuels", "category": "news", "topics": "healthcare", "published_at": "2026-08-13T13:44:27.000Z", "source": "Time Tech", "ethics_ai_record_url": "https://ethics.ai/record/19280" }, { "id": 19177, "url": "https://arxiv.org/abs/2608.13228v1", "title": "Capability Sheaves for Compositional Agent-Harness Repair: Controlled Quotients and a Real-Repository Stress Test", "summary": "Agent harnesses combine retrieval, routing, state, provenance, and verification, but locally successful components may disagree on shared state. We model this failure with a finite \\emph{capability sheaf}: stalks encode typed behavior signatures, restriction maps retain shared fields, and accepted runs are useful global sections. An exact finite constraint-satisfaction problem (CSP) defines acceptance, while a linearized relative cohomology class provides a diagnostic and search feature. A contr", "authors": "Saveliy Batruin", "category": "research", "topics": "healthcare,agents-autonomy", "published_at": "2026-08-13T13:31:09.000Z", "source": "arXiv", "ethics_ai_record_url": "https://ethics.ai/record/19177" }, { "id": 19309, "url": "https://www.justsecurity.org/153296/syllabus-supplements-us-boat-strikes", "title": "“In Focus” Syllabus Supplements: U.S. Lethal Strikes on Suspected Drug Traffickers, Operation Southern Spear, and Operation Absolute Resolve (2025–2026)", "summary": "This syllabus supplement offers curated articles intended to be combined with traditional casebooks in a law school or other higher education classroom. The post “In Focus” Syllabus Supplements: U.S. Lethal Strikes on Suspected Drug Traffickers, Operation Southern Spear, and Operation Absolute Resolve (2025–2026) appeared first on Just Security .", "authors": "Just Security", "category": "org", "topics": "regulation,healthcare,children-education", "published_at": "2026-08-13T12:47:05.000Z", "source": "Just Security", "ethics_ai_record_url": "https://ethics.ai/record/19309" }, { "id": 19296, "url": "https://theconversation.com/teens-are-turning-to-ai-chatbots-for-emotional-support-heres-how-to-keep-kids-safe-283651", "title": "Teens are turning to AI chatbots for emotional support – here’s how to keep kids safe", "summary": "Chatbots are becoming commonplace in teens’ lives, but these tools were never developed or validated for mental health support.", "authors": "Phoebe S. Moore, Associate Professor of Psychiatry and Behavioral Sciences, UMass Chan Medical School, Megan Kelly, Professor of Psychiatry, UMass Chan Medical School, Yael Dvir, Professor of Psychiatry and Behavioral Sciences, UMass Chan Medical School", "category": "news", "topics": "healthcare,children-education", "published_at": "2026-08-13T12:31:33.000Z", "source": "The Conversation Technology", "ethics_ai_record_url": "https://ethics.ai/record/19296" }, { "id": 19397, "url": "https://www.xataka.com/medicina-y-salud/tragico-caso-persona-joven-jamas-diagnosticada-alzheimer-fue-diagnosticado-cuando-tenia-19-anos", "title": "El trágico caso de la persona más joven jamás diagnosticada con Alzheimer: fue diagnosticado cuando tenía 19 años", "summary": "El Alzheimer, como otras enfermedades neurodegenerativas, tiende a manifestarse a edades avanzadas, aunque puedan pasar muchos años entre el comienzo de la enfermedad y la aparición de los síntomas. Cuando la enfermedad aparece antes de los 65 años hablamos de Alzheimer de aparición temprana. El problema es que este trastorno puede llegar a manifestarse mucho antes . El caso más precoz. No sabemos a qué edad puede llegar a comenzar a aparecer el mal de Alzheimer, pero el caso más precoz jamás re", "authors": "Pablo Martínez-Juarez", "category": "news", "topics": "healthcare", "published_at": "2026-08-13T12:15:15.000Z", "source": "Xataka (ES)", "ethics_ai_record_url": "https://ethics.ai/record/19397" }, { "id": 19239, "url": "https://www.gao.gov/products/gao-26-109046", "title": "National Crisis and Support Hotlines: Contact Volume Increased and Operations Remained Relatively Consistent in 2025", "summary": "What GAO Found The 988 Suicide & Crisis Lifeline provides free, confidential 24/7 support for anyone experiencing mental health distress, suicidal thoughts, or substance use crises. The National Maternal Mental Health Hotline provides free, confidential emotional support, resources, and referrals to pregnant and postpartum women experiencing mental health challenges. Both of these hotlines, within the Department of Health and Human Services (HHS), are operated by nonfederal entities—primarily by", "authors": null, "category": "policy", "topics": "healthcare", "published_at": "2026-08-13T11:27:58.000Z", "source": "US GAO Reports", "ethics_ai_record_url": "https://ethics.ai/record/19239" }, { "id": 19450, "url": "https://arxiv.org/abs/2608.13054v1", "title": "Tracing Methamphetamine abuse in under-treatment drivers: How biomechanical and oculomotor features help detect at-risk drivers?", "summary": "While the detrimental impacts of driving under the influence of stimulants such as methamphetamine are well-documented, the driving performance of individuals currently under-treatment has received considerably less attention. This study compared the behavior of individuals with a history of stimulant abuse (across two distinct treatment phases) with a control group of healthy drivers using a driving simulator. Oculomotor and biomechanical data were continuously collected via an eye-tracker and", "authors": "Hamed Salmanzadeh, Alireza Mortezapour, Iman Tahbazzadeh Moghaddam, Farshid Ipackchi, Payam Abedinzadeh, Samira Teimoori", "category": "research", "topics": "healthcare", "published_at": "2026-08-13T10:18:02.000Z", "source": "arXiv cs.HC", "ethics_ai_record_url": "https://ethics.ai/record/19450" }, { "id": 19264, "url": "https://www.fastcompany.com/91589344/the-worlds-largest-biological-datacenter-could-help-make-animal-testing-obsolete?partner=rss&utm_source=rss&utm_medium=feed&utm_campaign=rss+fastcompany&utm_content=rss", "title": "The world’s largest ‘biological datacenter’ could help make animal testing obsolete", "summary": "There’s a big flaw in the way that drug companies develop and test medicines today: What works in a mouse often doesn’t work in a human. For decades, the industry has relied on animal testing. But in a laboratory south of San Francisco, a startup called Vivodyne is scaling up a different approach. Inside wardrobe-size mini labs, robots grow human tissue and run thousands of AI -designed experiments that could better predict how well a new drug will work—and whether it will be safe. [Image: Vivod", "authors": "Adele Peters", "category": "news", "topics": "healthcare,agents-autonomy,environment,biotech", "published_at": "2026-08-13T09:11:00.000Z", "source": "Fast Company Tech", "ethics_ai_record_url": "https://ethics.ai/record/19264" }, { "id": 19133, "url": "https://www.wired.com/story/fatty-liver-disease-ai-detection-cancer", "title": "There’s a Fatty Liver Epidemic. AI Could Help Get Ahead of It", "summary": "Over a billion people worldwide have livers with excess fat, which can lead to a host of medical problems. Researchers think AI tools can spot the condition—and help stop it—early enough to save lives.", "authors": "David Cox", "category": "news", "topics": "healthcare", "published_at": "2026-08-13T09:00:00.000Z", "source": "Wired", "ethics_ai_record_url": "https://ethics.ai/record/19133" }, { "id": 19337, "url": "https://www.nextgov.com/emerging-tech/2026/08/openai-foundation-gives-100-million-fund-state-ai-implementation-public-health/415382", "title": "OpenAI Foundation gives $100 million fund state AI implementation for public health", "summary": "The organization announced the launch of the Breakthroughs to Follow-Through Initiative, which will implement artificial intelligence tools in public health research work.", "authors": "Alexandra Kelley", "category": "news", "topics": "healthcare", "published_at": "2026-08-13T09:00:00.000Z", "source": "NextGov/FCW", "ethics_ai_record_url": "https://ethics.ai/record/19337" }, { "id": 19219, "url": "https://www.accessnow.org/mental-health-digital-safety-for-activists?pk_campaign=feed&pk_kwd=mental-health-digital-safety-for-activists", "title": "Vita Activa & the Digital Security Helpline join forces to support mental health and digital safety for activists", "summary": "Access Now's Digital Security Helpline and Vita Activa offer holistic digital safety and mental health support for activists. The post Vita Activa & the Digital Security Helpline join forces to support mental health and digital safety for activists appeared first on Access Now .", "authors": "Luis Barrueto", "category": "org", "topics": "healthcare", "published_at": "2026-08-13T08:00:00.000Z", "source": "Access Now", "ethics_ai_record_url": "https://ethics.ai/record/19219" }, { "id": 19414, "url": "https://www.itweb.co.za/article/the-power-of-believing-in-others/nWJadMbNDrPMbjO1", "title": "The power of believing in others", "summary": "Meaningful change is often less about demanding more from people and more about removing the obstacles that stand in their way, says Ivone Veiga-Moroldo, head of client experience at Healthbridge.", "authors": null, "category": "news", "topics": "healthcare", "published_at": "2026-08-13T06:36:00.000Z", "source": "ITWeb (ZA)", "ethics_ai_record_url": "https://ethics.ai/record/19414" }, { "id": 19009, "url": "https://www.scmp.com/business/china-business/article/3363799/chinas-brain-chip-drive-accelerates-slew-state-backed-initiatives", "title": "China’s ‘brain chip’ drive accelerates with slew of state-backed initiatives", "summary": "For years, Elon Musk has dreamed of conquering a range of chronic health conditions by inserting computer chips into the human brain. But that vision could become reality fastest in China, where state authorities are launching a coordinated effort to accelerate the nascent industry’s development. The past few days have seen a string of initiatives related to brain-computer interfaces (BCIs) announced in China, involving parties ranging from state insurance companies to investment banks and local", "authors": "Julie Zhang", "category": "news", "topics": "healthcare,finance-investment", "published_at": "2026-08-13T04:00:11.000Z", "source": "SCMP Tech (HK/CN)", "ethics_ai_record_url": "https://ethics.ai/record/19009" }, { "id": 18718, "url": "https://arxiv.org/abs/2608.11830", "title": "Quantifying the Relationship Between Clinical Safety and Environmental Impact in Therapeutic LLMs", "summary": "arXiv:2608.11830v1 Announce Type: new Abstract: The deployment of large language models (LLMs) in mental health contexts raises questions about the relationship between clinical safety and environmental cost. In this paper, we examine this relationship by combining K-Bench clinical safety scores with EcoLogits life-cycle assessment estimates across 47 supported model configurations. We evaluate model performance and environmental impact across four dimensions: energy use, carbon emissions, water", "authors": "Alireza A. Safaei, Laura M. Vowels, Matthew J. Vowels, Apoorv Jha, Shekoufeh Rahimi", "category": "research", "topics": "healthcare,environment", "published_at": "2026-08-13T04:00:00.000Z", "source": "arXiv cs.CY", "ethics_ai_record_url": "https://ethics.ai/record/18718" }, { "id": 18725, "url": "https://arxiv.org/abs/2608.11410", "title": "Unmasking Toxic Mimicry in Medical Offline Reinforcement Learning for ICU Sepsis Management via Counterfactual Clinical Audits", "summary": "arXiv:2608.11410v1 Announce Type: cross Abstract: Offline reinforcement learning (RL) offers considerable promise for optimizing ICU treatment decisions, yet standard evaluation metrics Mean Squared Error (MSE) and Fitted Q-Evaluation (FQE) assess only behavioral imitation and cannot detect Toxic Mimicry, a failure mode in which agents replicate harmful patterns such as treatment withdrawal during comfort-care transitions. Using the MIMIC-III database, we propose the Counterfactual Clinical Audi", "authors": "Hangqi Ren, Junyi Liao", "category": "research", "topics": "healthcare,agents-autonomy,transparency", "published_at": "2026-08-13T04:00:00.000Z", "source": "arXiv cs.CY", "ethics_ai_record_url": "https://ethics.ai/record/18725" }, { "id": 18730, "url": "https://arxiv.org/abs/2507.11773", "title": "Small Data Explainer -- The impact of small data methods in everyday life", "summary": "arXiv:2507.11773v2 Announce Type: replace Abstract: The emergence of breakthrough artificial intelligence (AI) techniques has led to a renewed focus on how small data settings, i.e., settings with limited information, can benefit from such developments. This includes societal issues such as how best to include under-represented groups in data-driven policy and decision making, or the health benefits of assistive technologies. We provide a conceptual overview, clarify the relationship between sma", "authors": "Maren Hackenberg, Sophia G. Connor, Fabian Kabus, June Brawner, Ella Markham, Mahi Hardalupas, Areeq Chowdhury, Rolf Backofen, Anna K\\\"ottgen, Angelika Rohde, Nadine Binder, Harald Binder, the Collaborative Research Center 1597 Small Data", "category": "research", "topics": "regulation,healthcare", "published_at": "2026-08-13T04:00:00.000Z", "source": "arXiv cs.CY", "ethics_ai_record_url": "https://ethics.ai/record/18730" }, { "id": 19539, "url": "https://www.everycrsreport.com/reports/IN12730.html", "title": "Wildland Fire Smoke, Air Quality, and Health", "summary": null, "authors": null, "category": "policy", "topics": "healthcare", "published_at": "2026-08-13T04:00:00.000Z", "source": "US Congressional Research Service (EveryCRSReport)", "ethics_ai_record_url": "https://ethics.ai/record/19539" }, { "id": 19454, "url": "https://arxiv.org/abs/2608.12750v1", "title": "PatientAct: Theory-Grounded Mental Health Client Simulation", "summary": "LLM-based simulated clients are increasingly used to train novice counselors, evaluate LLM therapists, and generate synthetic data. However, current simulators produce overly cooperative clients that disclose too readily, accept therapeutic reframes without resistance, and resolve core issues within a single session. We trace these issues to profiles that lack causal depth and behavioral mechanisms that treat all content as equally accessible. We present PatientAct, a framework for client simula", "authors": "Sahand Sabour, TszYam NG, Yaqian Chen, Guanqun Bi, Jialu Zhao, Minlie Huang", "category": "research", "topics": "healthcare", "published_at": "2026-08-13T03:01:15.000Z", "source": "arXiv cs.HC", "ethics_ai_record_url": "https://ethics.ai/record/19454" }, { "id": 19194, "url": "https://arxiv.org/abs/2608.12689v1", "title": "Mr3D-VL: A generalist vision language foundation model for Multiparametric 3D Magnetic Resonance Imaging", "summary": "Multi-parametric magnetic resonance imaging (mpMRI) is a cornerstone for brain tumor diagnosis and treatment, yet current AI models face critical limitations: their lack of natural language interaction and interpretability impedes spatial information integration and cross-modal reasoning required clinically. Key challenges arise from significant physical meaning differences across modalities, spatial misalignment due to scan intervals, and the need for complex multi-feature interpretation in tas", "authors": "Zhi Qiao, Xintong Wu, Yichu He, Feng Shi", "category": "research", "topics": "safety-alignment,healthcare", "published_at": "2026-08-13T01:12:34.000Z", "source": "arXiv", "ethics_ai_record_url": "https://ethics.ai/record/19194" }, { "id": 18852, "url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1836646", "title": "Recent advancements and future prospects on AI-integrated sensing techniques for non-invasive chronic kidney disease diagnosis: a review", "summary": "Chronic Kidney Disease (CKD) has emerged as a major public health concern worldwide, and most patients with CKD are asymptomatic until the later stages, causing growing morbidity and mortality. Diabetes and hypertension are the main causative factors for the development of CKD, damaging the renal microcirculation system. In addition, the impact of Acute Kidney Injuries (AKI) may result in the recovery or progression to either CKD or renal failure. The conventional techniques for diagnosis, such", "authors": "Suchetha Manikandan", "category": "research", "topics": "healthcare", "published_at": "2026-08-13T00:00:00.000Z", "source": "Frontiers in Artificial Intelligence", "ethics_ai_record_url": "https://ethics.ai/record/18852" } ], "attribution": "via ethics.ai" }