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Artificial intelligence (AI) has rapidly transitioned from a niche technological capability to a critical socio-technical infrastructure. While delivering transformative efficiencies across domains including financial services and healthcare, AI simultaneously generates novel risks that transcend traditional cybersecurity paradigms. Unlike earlier digital threats, AI-driven risks are systemic, blending technical, organizational, and cognitive dimensions. This article advances three arguments. First, AI penetrates the cognitive domain, enabling manipulation that extends beyond discrete attacks to relationship-based grooming, agentic misalignment, and large-scale cognitive hacking (Carli et al. in Risk and exposure of XAI in persuasion and argumentation: the case of manipulation. In: International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems. Cham: Springer International Publishing, pp.204–220. https://doi.org/10.1007/978-3-031-15565-9_13 , 2022; Baker in What is cognitive hacking? The cyber attack that targets your mind. EM360Tech. Available at: https://www.em360tech.com/tech-articles/what-cognitive-hacking-cyber-attack-targets-your-mind . Accessed 14 Sep 2025, 2025). Second, humans must be reconceptualised as adaptive defenders within hybrid socio-technical ecosystems rather than treated solely as points of failure. Third, effective defense requires integrating agent-based modeling (ABM), user and entity behavior analytics (UEBA), and socio-technical red-teaming into an adaptive governance ecosystem capable of anticipating, rather than merely reacting to, adversarial tactics. The article’s central contribution is to articulate the human firewall as a systemic socio-technical framework that embeds resilience at cognitive, organisational, and cultural levels. An exploratory computational model is introduced to illustrate, conceptually rather than operationally, how behavioral drift might be detected in human–AI interactions. This model is deliberately illustrative and hypothesis-generating; it does not constitute a validated detection system, and its parameters are not empirically calibrated. By reframing humans as critical nodes of resilience, the human firewall paradigm enables organisations to operationalize critical thinking, ethical judgment, and situational awareness as frontline safeguards. Resilient autonomy, achieved through digital literacy, interdisciplinary enrichment, and adaptive governance, is presented as essential to safeguarding democratic resilience, organisational trust, and systemic stability in an AI-permeated world.
#GESISGuides #DBD #DigitalBehavioralData #ABM
Out now: GESIS Guides to Digital Behavioral Data #21: Cristina Chueca Del Cerro: What is Agent-Based Modeling?
https://doi.org/10.60762/GGDBD25021.1.0
This guide offers an introduction to agent-based modeling (ABM), a simulation method used across disciplines to explore emergent behaviors in complex systems.

Acute myeloid leukemia (AML) is a hematologic malignancy originating in the bone marrow and often progressing to extramedullary sites. Despite advances in molecularly targeted therapies and hematopoietic stem cell transplantation, clinical outcomes remain poor. Tyrosine kinase inhibitors (TKIs) provide benefit to a subset of AML patients harboring FLT3-ITD mutations; however, relapse and resistance remain common. These therapeutic failures are driven by both intrinsic properties of leukemic stem cells (LSCs)—a quiescent, self-renewing population—and extrinsic cues from the tumor microenvironment. We previously demonstrated that arteriolar endothelial cells (ECs) produce miR-126, which is transferred to LSCs, promoting quiescence, treatment resistance, and niche retention. During disease progression, TNF-α secreted by expanding blasts suppresses EC miR-126 production. Following TKI administration, blast reduction lowers TNF-ɑ levels, restoring EC miR-126 production, and this miR-126 expression enables LSCs to re-enter quiescence—thereby escaping therapy and facilitating relapse. To explore this dynamic, we developed an agent-based computational model of the AML bone marrow microenvironment, parameterized with in vitro and in vivo data. The model captures vascular niche remodeling and feedback between leukemic populations and endothelial signaling. Simulations reveal that LSC protection mediated by miR-126 can be disrupted by combining TKIs with miRisten, a miR-126 inhibitor. When administered on a defined schedule, this combination dismantles the protective niche and enhances LSC eradication. These findings underscore the therapeutic potential of targeting microenvironmental feedback to overcome resistance and prevent AML relapse.
株式会社しまむら しまむら、乃木坂46の一ノ瀬美空さんが、「正解コーデ」のモデルに就任!毎日がワクワクする着こなしを提案 – Apparel Business Magazine アパレル・ビジネス・マガジン
株式会社しまむら(本社所在地:埼玉県さいたま市大宮区北袋町1-602-1、代表取締役:高橋 維一郎)は、全国のファッションセンターしまむら店舗で販売する「正解コーデ」のモデルに、乃木坂46の一ノ瀬美空さんが就任することを [...]
#MoeZine #JP #JAPAN #乃木坂46 ##ファッションビジネス #ABM #nogizaka46 #アパレルビジネスマガジン #ジーンズカジュアル #トレンド情報 #新アパレル工学事典 #日中英服装技術用語辞典 #繊維専門図書出版 #繊維流通研究会
https://www.moezine.com/2307891/