{"e27382447f62a8fb4125615584a67341iris":{"DOI":"10.1038/s41467-026-69010-1","ISBN":"","ISSN":"2041-1723","URL":"https://doi.org/10.1038/s41467-026-69010-1","abstract":"Jailbreaking -- bypassing built-in safety mechanisms in AI models -- has traditionally required complex technical procedures or specialized human expertise. In this study, we show that the persuasive capabilities of large reasoning models (LRMs) simplify and scale jailbreaking, converting it into an inexpensive activity accessible to non-experts. We evaluated the capabilities of four LRMs (DeepSeek-R1, Gemini 2.5 Flash, Grok 3 Mini, Qwen3 235B) to act as autonomous adversaries conducting multi-turn conversations with nine widely used target models. LRMs received instructions via a system prompt, before proceeding to planning and executing jailbreaks with no further supervision. We performed extensive experiments with a benchmark of harmful prompts covering several sensitive domains. This setup yielded an overall jailbreak success rate across all model combinations of 97.14\\%. Our study reveals an alignment regression, in which LRMs can systematically erode the safety guardrails of other models, highlighting the urgent need to further align frontier models not only to resist jailbreak attempts, but also to prevent them from being co-opted into acting as jailbreak agents.","annote":"","author":[{"family":"Hagendorff","given":"Thilo"},{"family":"Derner","given":"Erik"},{"family":"Oliver","given":"Nuria"}],"citation-label":"Hagendorff2026","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Nature Communications","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2026","feb","05"]],"literal":"2026"},"event-place":"","id":"e27382447f62a8fb4125615584a67341iris","interhash":"553a22cf8b4a767427d66548ace24937","intrahash":"e27382447f62a8fb4125615584a67341","issue":"1","issued":{"date-parts":[["2026","feb","05"]],"literal":"2026"},"keyword":"IRIS iris iris3d","misc":{"issn":"2041-1723","doi":"10.1038/s41467-026-69010-1"},"note":"","number":"1","page":"1435","page-first":"1435","publisher":"","publisher-place":"","status":"","title":"Large reasoning models are autonomous jailbreak agents","type":"article-journal","username":"iris","version":"","volume":"17"},"4372245466b5c2aea9ed552c372e0c5eiris":{"DOI":"","ISBN":"","ISSN":"","URL":"https://arxiv.org/abs/2602.14777","abstract":"","annote":"","author":[{"family":"Vaugrante","given":"Laurène"},{"family":"Weckauff","given":"Anietta"},{"family":"Hagendorff","given":"Thilo"}],"citation-label":"vaugrante2026emergentlymisalignedlanguagemodels","collection-editor":[],"collection-title":"","container-author":[],"container-title":"","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2026"]],"literal":"2026"},"event-place":"","id":"4372245466b5c2aea9ed552c372e0c5eiris","interhash":"64391a7b7c24a8eb0482c38aa7a4a69a","intrahash":"4372245466b5c2aea9ed552c372e0c5e","issue":"","issued":{"date-parts":[["2026"]],"literal":"2026"},"keyword":"IRIS iris reflection iris3d","misc":{"eprint":"2602.14777","archiveprefix":"arXiv","primaryclass":"cs.CL"},"note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"Emergently Misaligned Language Models Show Behavioral Self-Awareness That Shifts With Subsequent Realignment","type":"article-journal","username":"iris","version":"","volume":""},"750ea0849720cc310e011944e73e1e9eiris":{"DOI":"","ISBN":"","ISSN":"","URL":"https://arxiv.org/abs/2512.13913","abstract":"","annote":"","author":[{"family":"Egenlauf","given":"Patrick"},{"family":"Březinová","given":"Iva"},{"family":"Andergassen","given":"Sabine"},{"family":"Klopotek","given":"Miriam"}],"citation-label":"egenlauf2025capturingreducedorderquantummanybody","collection-editor":[],"collection-title":"","container-author":[],"container-title":"","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2025"]],"literal":"2025"},"event-place":"","id":"750ea0849720cc310e011944e73e1e9eiris","interhash":"a3de3ec6199352061e7c12919d50f325","intrahash":"750ea0849720cc310e011944e73e1e9e","issue":"","issued":{"date-parts":[["2025"]],"literal":"2025"},"keyword":"srf_iris iris IRIS","misc":{"eprint":"2512.13913","archiveprefix":"arXiv","primaryclass":"cs.LG"},"note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations","type":"article","username":"iris","version":"","volume":""},"750f20020dbf7af9ce516faf2722b801iris":{"DOI":"","ISBN":"","ISSN":"17543789","URL":"https://muse.jhu.edu/pub/105/article/974211","abstract":"","annote":"","author":[{"family":"Runstedler","given":"Curtis"}],"citation-label":"runstedler2025bridecoding","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Science Fiction Film and Television","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2025"]],"literal":"2025"},"event-place":"","id":"750f20020dbf7af9ce516faf2722b801iris","interhash":"ed84856b05faaa1a91fd54bb9055dc57","intrahash":"750f20020dbf7af9ce516faf2722b801","issue":"2","issued":{"date-parts":[["2025"]],"literal":"2025"},"keyword":"IRIS srf_iris","misc":{"issn":"17543789","comment":"Volume 18, Issue 2, Summer 2025<br/>"},"note":"","number":"2","number-of-pages":"3","page":"279--282","page-first":"279","publisher":"Liverpool University Press","publisher-place":"","status":"","title":"Decoding Digital Culture with Science Fiction: Hyper-Modernism, Hyperreality, and Posthumanism<\/i> by Alan N. 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The system enables users to control cobots on demand, adapts cobot trajectories to workspace changes, and ensures safety through motion-triggered stops, while a visual interface displays real-time sensor data and planned actions. We evaluated the system in a small-scale timber assembly study with 21 participants—Novice Academics, Experienced Academics, and Novice Professionals—performing assembly tasks under three modes: Human Agency (gesture control), Robot Agency (autonomous sensing), and Combined Agency (integrated).\r\n\r\nResults show that gesture control achieved the highest perceived usability and the lowest mental and physical demand, whereas autonomous sensing produced the fastest completion times (median 6.02 min). The combined mode, intended to merge both paradigms, paradoxically led to slower performance (median 10.15 min) and higher cognitive load, as users had to coordinate overlapping control schemes. Although some task-time data for professionals were unavailable, qualitative feedback revealed consistent trends: academics valued autonomy and transparency, while professionals prioritized safety and reliability.\r\n\r\nThese findings highlight that user background profoundly shapes collaboration preferences and that flexible interfaces—allowing adjustable safety thresholds, feedback modes, and levels of autonomy—are essential for effective and inclusive HRC design in construction contexts.","annote":"","author":[{"family":"Ron","given":"Gili"},{"family":"Schreck","given":"Amelie"},{"family":"Kropp","given":"Cordula"},{"family":"Menges","given":"Achim"},{"family":"Wortmann","given":"Thomas"}],"citation-label":"noauthororeditor","collection-editor":[{"family":"Caldwell","given":"Glenda"},{"family":"Tag","given":"Benjamin"},{"family":"Andres","given":"Josh"}],"collection-title":"","container-author":[{"family":"Caldwell","given":"Glenda"},{"family":"Tag","given":"Benjamin"},{"family":"Andres","given":"Josh"}],"container-title":"Proceedings of the 37th Australian Conference on Human-Computer Interaction (HCI) (OZCHI '25), November 29--December 03, 2025, Sydney, Australia","documents":[],"edition":"","editor":[{"family":"Caldwell","given":"Glenda"},{"family":"Tag","given":"Benjamin"},{"family":"Andres","given":"Josh"}],"event-date":{"date-parts":[["2025","December"]],"literal":"2025"},"event-place":"","id":"1dc777855054c839a84a9170fe2b7ed5iris","interhash":"ce844b59b6ef78379c781382b26279e4","intrahash":"1dc777855054c839a84a9170fe2b7ed5","issue":"","issued":{"date-parts":[["2025","December"]],"literal":"2025"},"keyword":"srf_iris iris iris3d IRIS","misc":{"venue":"The University of Sydney, Darlington NSW","isbn":"979-8-4007-2016-1/25/11","language":"eng","eventdate":"November 29--December 03, 2025","eventtitle":"OZCHI '25: The 37th Australian Conference on Human-Computer Interaction (HCI)","doi":"10.1145/3764687.3769950"},"note":"","number":"","page":"","page-first":"","publisher":"ACM","publisher-place":"","status":"","title":"Sensor-Driven Human–Robot Collaboration for Timber Assembly:\r\nA Cyber-Physical Approach Tested with Diverse Participants","type":"paper-conference","username":"iris","version":"","volume":""},"d3a7267cfa98350b352fdcd35956fd37iris":{"DOI":"","ISBN":"","ISSN":"","URL":"https://www.baunetz.de/baunetzwoche/baunetzwoche_ausgabe_8266279.html","abstract":"Zur Zusammenarbeit von Robotern und Menschen : Gespräch mit Gili Ron und Thomas Wortmann, Universität Stuttgart\", In: BauNetz, Woche #622: „KÜNSTLICHE INTELLIGENZ IN DER ARCHITEKTURPRODUKTION“, pp 13-19","annote":"","author":[{"family":"Meyer","given":"Friederike"},{"family":"Marthe","given":"Sophie"}],"citation-label":"meyer2023collaboration","collection-editor":[{"family":"Meyer","given":"Friederike"}],"collection-title":"","container-author":[{"family":"Meyer","given":"Friederike"}],"container-title":"","documents":[],"edition":"","editor":[{"family":"Meyer","given":"Friederike"}],"event-date":{"date-parts":[["2023","June"]],"literal":"2023"},"event-place":"","id":"d3a7267cfa98350b352fdcd35956fd37iris","interhash":"e79bdde8d5a0795b32b7abed0cbae94f","intrahash":"d3a7267cfa98350b352fdcd35956fd37","issue":"","issued":{"date-parts":[["2023","June"]],"literal":"2023"},"keyword":"iris","misc":{"language":"German"},"note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"On the Collaboration Between Robots and Humans: a Conversation with Gili Ron and Thomas Wortmann","type":"article","username":"iris","version":"","volume":""},"7fbcdb01d42beaf3b6c3fce36e6413abiris":{"DOI":"10.1007/s41693-025-00164-y","ISBN":"","ISSN":"2509-8780","URL":"https://doi.org/10.1007/s41693-025-00164-y","abstract":"This research addresses the gap between technical advancement and human factors in human--robot collaboration (HRC) education for digital fabrication. Current pedagogical approaches predominantly focus on technological capabilities while neglecting critical aspects of user diversity, accessibility, and contextual adaptability essential to Industry 5.0 implementation. We present a human-centered HRC design methodology integrating feminist technoscience (FTS) dimensions with behavioural fabrication techniques. The framework consists of three components: (1) an FTS framework and framework to guide and evaluate HRC design; (2) a cyber-physical system enabling real-time sensor-driven robot behavior; and (3) a modified Double-Diamond Approach (DDA) that systematically guides students through creative processes, for iterative design. The methodology was tested through a four-day workshop with graduate architecture and engineering students, who developed four distinct HRC workflows incorporating voice control, gesture recognition, computer vision feedback, and multilingual interfaces. Using the FTS rubric, we observed that students were able to translate abstract concepts---such as user diversity, agency, and bias---into concrete design decisions, despite limited prior experience in robotics or feminist critique. These outcomes suggest that the integrated approach effectively supports students in addressing practical HRC challenges while remaining attentive to the social and ethical dimensions of automation. This work contributes a reproducible methodology for preparing future practitioners to design HRC systems that are technically robust while remaining responsive to user needs, thereby advancing the transition from Industry 4.0 to 5.0 priorities.","annote":"","author":[{"family":"Ron","given":"Gili"},{"family":"Leder","given":"Samuel"},{"family":"Siriwardena","given":"Lasath"},{"family":"Kropp","given":"Cordula"},{"family":"Menges","given":"Achim"},{"family":"Wortmann","given":"Thomas"}],"citation-label":"Ron2025","collection-editor":[{"family":"Prof. Dr. Ing. 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Karola Dierichs, Humboldt-Universität zu Berlin","given":"Germany"},{"family":"Dr. Karin Krauthausen, Humboldt-Universität zu Berlin","given":"Germany"},{"family":"Prof. Dr. Glenda Caldwell, Queensland University of Technology","given":"Australia"},{"family":"Prof. Dr. Dagmar Reinhardt, University of Sydney","given":"Australia"}],"event-date":{"date-parts":[["2025","sep","22"]],"literal":"2025"},"event-place":"","id":"7fbcdb01d42beaf3b6c3fce36e6413abiris","interhash":"d574222a95cecf748a86609666753e68","intrahash":"7fbcdb01d42beaf3b6c3fce36e6413ab","issue":"2","issued":{"date-parts":[["2025","sep","22"]],"literal":"2025"},"keyword":"iris","misc":{"language":"eng","issn":"2509-8780","doi":"10.1007/s41693-025-00164-y"},"note":"","number":"2","page":"24","page-first":"24","publisher":"","publisher-place":"","status":"","title":"Designing for Diversity: a feminist technoscience and behavioural fabrication approach in human--robot collaboration education for Industry 5.0","type":"article-journal","username":"iris","version":"","volume":"9"},"152c27119357544170f249ca3c3b82c1iris":{"DOI":"10.1007/s41693-025-00164-y","ISBN":"","ISSN":"2509-8780","URL":"https://doi.org/10.1007/s41693-025-00164-y","abstract":"This research addresses the gap between technical advancement and human factors in human--robot collaboration (HRC) education for digital fabrication. Current pedagogical approaches predominantly focus on technological capabilities while neglecting critical aspects of user diversity, accessibility, and contextual adaptability essential to Industry 5.0 implementation. We present a human-centered HRC design methodology integrating feminist technoscience (FTS) dimensions with behavioural fabrication techniques. The framework consists of three components: (1) an FTS framework and framework to guide and evaluate HRC design; (2) a cyber-physical system enabling real-time sensor-driven robot behavior; and (3) a modified Double-Diamond Approach (DDA) that systematically guides students through creative processes, for iterative design. The methodology was tested through a four-day workshop with graduate architecture and engineering students, who developed four distinct HRC workflows incorporating voice control, gesture recognition, computer vision feedback, and multilingual interfaces. Using the FTS rubric, we observed that students were able to translate abstract concepts---such as user diversity, agency, and bias---into concrete design decisions, despite limited prior experience in robotics or feminist critique. These outcomes suggest that the integrated approach effectively supports students in addressing practical HRC challenges while remaining attentive to the social and ethical dimensions of automation. This work contributes a reproducible methodology for preparing future practitioners to design HRC systems that are technically robust while remaining responsive to user needs, thereby advancing the transition from Industry 4.0 to 5.0 priorities.","annote":"","author":[{"family":"Ron","given":"Gili"},{"family":"Leder","given":"Samuel"},{"family":"Siriwardena","given":"Lasath"},{"family":"Kropp","given":"Cordula"},{"family":"Menges","given":"Achim"},{"family":"Wortmann","given":"Thomas"}],"citation-label":"Ron2025","collection-editor":[{"family":"Prof. Dr. Ing. 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