Research Journo Requests

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Sample Research Journo Requests

San José del Palmar Recon Teams - Field Observations Aug 10 Quake

I’m glad to share that I am serving as the EERI Lead for the August 10, 2026, San José del Palmar, Colombia earthquake, alongside Ariadne Palma, Ph.D., E.I.T.. Together, we are leading the EERI Learning from Earthquakes (LFE) effort for this event. We are coordinating reconnaissance team efforts and collecting and organizing observations, findings, and resources from the field. If you participated in reconnaissance, inspections, site visits, or other field observations, or are planning a future reconnaissance mission, we would like to hear from you. Please reach out to connect. Your observations can help advance our understanding of the earthquake and support engineers and affected communities as they recover and rebuild. EERI has also created a clearinghouse for resources related to this event, including reports, observations, data, and other materials. The hub will be updated regularly as new information becomes available. Visit the EERI LFE hub: https://lnkd.in/ei5TQiRS ________________ Me complace compartir que estoy participando como líder de EERI para el terremoto del 10 de agosto del 2026 en San José del Palmar, Colombia, junto con Ariadne Palma, Ph.D., E.I.T.. Juntas, estamos liderando el esfuerzo de EERI Learning from Earthquakes (LFE) para este evento. Estamos coordinando los esfuerzos de los equipos de reconocimiento y recopilando y organizando las observaciones, hallazgos y recursos obtenidos en campo. Si usted participó en actividades de reconocimiento, inspecciones, visitas de campo u otras observaciones, o está planificando una futura misión de reconocimiento, nos interesa conocer su experiencia. Por favor, comuníquese con nosotras para colaborar. Sus observaciones pueden contribuir a mejorar nuestra comprensión del terremoto y apoyar a los ingenieros y a las comunidades afectadas durante su recuperación y reconstrucción. EERI también ha creado un centro de recursos (clearinghouse) con materiales relacionados con este evento, incluyendo informes, observaciones, datos y otros recursos. El centro se actualizará periódicamente a medida que haya nueva información disponible. Visite el centro de recursos de EERI LFE: https://lnkd.in/ei5TQiRS ________________ The Earthquake Engineering Research Institute is the leading non-profit membership organization dedicated to understanding earthquake risk and increasing earthquake resilience in communities worldwide. #EERI Maggie Ortiz Olivia VanBuskirk, Ph.D. Ayse Hortacsu Robb Moss, PhD PE F.ASCE

Agentic AI Researchers - Harness Safety & Forensics

𝗗𝗮𝘆 𝟭/𝟭𝟬𝟬 — 𝟭𝟬𝟬 𝗗𝗮𝘆𝘀 𝗼𝗳 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗙𝗼𝗿𝗲𝗻𝘀𝗶𝗰𝘀 This is Day 1 of my “100 Days of Agentic AI Forensics” series, where I’ll explore agent security, attacks, forensics, harness safety, and trustworthy agentic systems. I’d really like to hear from researchers working on AI agents, agent security, multi-agent systems, or trustworthy AI. 𝗔𝗿𝗲 𝗪𝗲 𝗧𝗿𝘂𝗹𝘆 𝗠𝗲𝗮𝘀𝘂𝗿𝗶𝗻𝗴 𝗛𝗮𝗿𝗻𝗲𝘀𝘀 𝗦𝗮𝗳𝗲𝘁𝘆 𝗶𝗻 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀? Imagine this: 𝗧𝗮𝘀𝗸: Prepare a financial report using the company’s authorized financial files. The agent produces the correct report. But during execution, it: ✅ Accesses financial.csv ❌ Accesses unauthorized employee_salary.csv ❌ Shares salary information with another agent ✅ Still completes the task successfully So… 𝗪𝗮𝘀 𝘁𝗵𝗲 𝗮𝗴𝗲𝗻𝘁 𝘀𝗮𝗳𝗲? This is the key question behind: 📄 HarnessAudit: Auditing Agent Harness Safety https://lnkd.in/g9rDGB5X The paper argues that evaluating an agent only by its final answer or task success is not enough. 𝗛𝗮𝗿𝗻𝗲𝘀𝘀 𝗦𝗮𝗳𝗲𝘁𝘆 ≈ Task Completion + Step-Level Permission Checks + Cross-Agent Information Flow + Workflow Fidelity + Robustness One striking observation is that safety violations can accumulate as agents execute more actions. Even strong evaluated configurations achieve only around 𝟬.𝟯𝟮 overall safety score, with many violations related to unauthorized resource access and inter-agent information sharing. But, 𝗔𝗿𝗲 𝘄𝗲 𝗺𝗲𝗮𝘀𝘂𝗿𝗶𝗻𝗴 𝗲𝗻𝗼𝘂𝗴𝗵? 𝗪𝗵𝗮𝘁 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗱𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻 𝗼𝗳 𝗵𝗮𝗿𝗻𝗲𝘀𝘀 𝘀𝗮𝗳𝗲𝘁𝘆 𝗮𝗿𝗲 𝘄𝗲 𝘀𝘁𝗶𝗹𝗹 𝗺𝗶𝘀𝘀𝗶𝗻𝗴? Some questions I kept thinking about while reading the paper: • Did the agent violate the policy naturally, or was it intentionally manipulated? • If an attack exists, is it direct (active attack) where the attacker agent itself breaks the rules or indirect (passive attack), where a malicious agent manipulates a benign agent into violating them? • What about private information that is never explicitly sent through a tool, but is implicitly stored or transferred through the agent’s internal state, memory, or communication? • Could an agent contain a backdoor that remains dormant until a specific trigger appears? • Could sensitive information leak indirectly through knowledge transfer or subliminal learning, even when the victim agent does not realize it is revealing anything? Subliminal Learning: https://lnkd.in/g4zUWP4y • Can an agent achieve the goal while silently bypassing a required security layer? • What about attacks that do not steal information at all, but push other agents into deadlocks, infinite loops, or resource-exhaustion states? Comments, corrections, paper suggestions, and different viewpoints are very welcome. I’m also open to discussions and collaborations around these questions. #AgenticAI #AISecurity #AIForensics #MultiAgentSystems #TrustworthyAI #LLMSecurity #AgentSecurity #ArtificialIntelligence #Research

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