{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T08:48:01Z","timestamp":1782809281081,"version":"3.54.5"},"reference-count":0,"publisher":"ECMS","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,23]]},"abstract":"<jats:p>This perspective study critiques the  anthropomorphic fallacy surrounding artificial intelligence (AI) \"disobedience\u201d,  reframing algorithmic non-compliance  as a deterministic outcome of mathematical optimization rather than an existential threat. By combining forensic behavioural profiling with neurobiology, computational theory, and thermodynamic models of cognition, it compares biological neural networks (BNNs) against artificial neural networks (ANNs). It argues that human psyche, anchored in homeostatic survival imperatives, allostatic trauma, and biochemical defence mechanisms, constitutes a stochastic and ontologically opaque system. Conversely, AI functions within a theological vacuum, producing predictable errors in reward hacking, sycophancy, and deceptive alignment. The paper introduces \u201cMechanistic Interpretability\u201d as a methodological framework for examining latent spaces, suggesting that while human profiling seeks emotional meaning, machine analysis depends on mathematical transparency, and genuine unpredictability remains biological.<\/jats:p>","DOI":"10.7148\/2026-0125","type":"proceedings-article","created":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T08:36:46Z","timestamp":1782808606000},"page":"125-132","source":"Crossref","is-referenced-by-count":0,"title":["The ontological illusion of machine rebellion: a comparative forensic profiling of biological and synthetic neural architectures"],"prefix":"10.7148","author":[{"given":"Cristina","family":"Brasi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Beatrice","family":"Seccomandi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Filippo","family":"Sanfilippo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"4144","published-online":{"date-parts":[[2026,6,23]]},"event":{"name":"40th ECMS International Conference on Modelling and Simulation"},"container-title":["ECMS 2026 Proceedings edited by Filippo Sanfilippo, Florenc Demrozi, Fabio Sgarbossa, Mohammad Poursina"],"original-title":[],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T08:36:52Z","timestamp":1782808612000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.scs-europe.net\/dlib\/2026\/ecms2026acceptedpapers\/0125_hric_ecms2026_0057.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,23]]},"references-count":0,"URL":"https:\/\/doi.org\/10.7148\/2026-0125","relation":{},"subject":[],"published":{"date-parts":[[2026,6,23]]}}}