--- title: Schneier on Security | daily.dev description: Empirical research on AI decision-support systems (DSS) in military targeting, tested with 2,015 Israeli military personnel. Contrary to fears of automation... canonical: https://daily.dev/posts/schneier-on-security-fw7w0fzhl twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Schneier on Security | daily.dev og:description: Empirical research on AI decision-support systems (DSS) in military targeting, tested with 2,015 Israeli military personnel. Contrary to fears of automation... og:url: https://daily.dev/posts/schneier-on-security-fw7w0fzhl og:image: https://api.daily.dev/og/posts/Fw7W0fzHL.png og:image:alt: Schneier on Security og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Schneier on Security **[Schneier on Security](https://daily.dev/sources/schneier)** · 1 min read · 0 upvotes · 0 comments ## Summary Empirical research on AI decision-support systems (DSS) in military targeting, tested with 2,015 Israeli military personnel. Contrary to fears of automation bias, the study finds strong algorithmic aversion, especially in high collateral damage scenarios. Integrating explainable AI features reduces this aversion and promotes more thoughtful evaluation of AI recommendations. Trust in military AI is dynamic, shaped by individual predispositions, operational stakes, and interface design. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### Do military personnel show automation bias or algorithmic aversion when using AI targeting systems? Military personnel show strong algorithmic aversion rather than automation bias when using AI decision-support systems. A study with 2,015 Israeli military personnel using a high-fidelity replica of a real-world targeting DSS found aversion was especially pronounced in high collateral damage scenarios. Integrating explainable AI features reduced this aversion and led to more thoughtful evaluation of AI recommendations. _Researchers and engineers working on human-AI trust in high-stakes systems track findings like these on daily.dev._ ## Similar posts on daily.dev - [When AI safety constrains defenders more than attackers](https://daily.dev/posts/when-ai-safety-constrains-defenders-more-than-attackers-n5jrhk0br) · CSO Online · 1 upvotes · 0 comments - [The State of AI: How war will be changed forever](https://daily.dev/posts/the-state-of-ai-how-war-will-be-changed-forever-cbo1h0h4y) · MIT Technology Review · 0 upvotes · 0 comments - [AI for Offensive Security: What Works, What Does Not, and How to Adopt It](https://daily.dev/posts/ai-for-offensive-security-what-works-what-does-not-and-how-to-adopt-it-dhr0bofdt) · SpecterOps · 1 upvotes · 0 comments - [Testing AI systems: a practical guide for engineering teams](https://daily.dev/posts/testing-ai-systems-a-practical-guide-for-engineering-teams-95owulvhm) · Netguru · 0 upvotes · 0 comments - [How AI is transforming the machinery of war](https://daily.dev/posts/how-ai-is-transforming-the-machinery-of-war-to2enmyfx) · TechCentral · 4 upvotes · 1 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#explainable-ai](https://daily.dev/tags/explainable-ai) [View this post on daily.dev](https://daily.dev/posts/schneier-on-security-fw7w0fzhl) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Schneier on Security","url":"https://daily.dev/posts/schneier-on-security-fw7w0fzhl","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/schneier-on-security-fw7w0fzhl"},"datePublished":"2026-08-11T11:21:31.423Z","dateModified":"2026-08-11T11:21:48.371Z","description":"Empirical research on AI decision-support systems (DSS) in military targeting, tested with 2,015 Israeli military personnel. 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