{"id":8112,"date":"2026-06-26T14:24:01","date_gmt":"2026-06-26T06:24:01","guid":{"rendered":"https:\/\/moresourcing.com\/employees-arent-questioning-ai-advice-enough\/"},"modified":"2026-06-26T14:24:01","modified_gmt":"2026-06-26T06:24:01","slug":"employees-arent-questioning-ai-advice-enough","status":"publish","type":"post","link":"https:\/\/moresourcing.com\/de\/employees-arent-questioning-ai-advice-enough\/","title":{"rendered":"Mitarbeiter hinterfragen KI-Ratschl\u00e4ge nicht genug"},"content":{"rendered":"<p><\/p>\n<p>Eine neue Studie zeigt, dass Menschen oft aktiv vermeiden, zus\u00e4tzliche Informationen einzuholen, wenn dies ihre Entscheidung verkomplizieren oder moralisches Unbehagen hervorrufen k\u00f6nnte.<\/p>\n<p>#Mitarbeiter #hinterfragen #Ratschl\u00e4ge #nicht<\/p>","protected":false},"excerpt":{"rendered":"<p>Eine neue Studie zeigt, dass Menschen oft aktiv vermeiden, zus\u00e4tzliche Informationen einzuholen, wenn diese ihre Entscheidung verkomplizieren oder moralisches Unbehagen verursachen k\u00f6nnten. #Mitarbeiter #Hinterfragen #Nicht #Ratschl\u00e4ge<\/p>","protected":false},"author":1,"featured_media":8113,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-8112","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-management"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.7.1 (Yoast SEO v25.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Employees Aren\u2019t Questioning AI Advice Enough - MORE SOURCING LTD<\/title>\n<meta name=\"description\" content=\"Many believe that making AI\u2019s decision-making more transparent will help users of AI tools overcome potential biases in the tools\u2019 thinking. But a new study found that people often avoid finding out \u201cwhy\u201d an AI made a decision when it threatens their comfort or incentives. In an online experiment with 2,512 participants acting as loan officers on real $10,000 requests, most sought AI\u2019s assistance to determine applicants\u2019 risk of defaulting on the loan, but fewer than half chose to view explanations about how risk assessments were determined. This was especially true when bonuses for participants depended on repayment or when they were told that explanations may include potential race- or gender-based bias. Explanations, when viewed, increased overrides of the AI. To ensure responsible AI use, mere availability of explanation is not enough. 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In an online experiment with 2,512 participants acting as loan officers on real $10,000 requests, most sought AI\u2019s assistance to determine applicants\u2019 risk of defaulting on the loan, but fewer than half chose to view explanations about how risk assessments were determined. This was especially true when bonuses for participants depended on repayment or when they were told that explanations may include potential race- or gender-based bias. Explanations, when viewed, increased overrides of the AI. To ensure responsible AI use, mere availability of explanation is not enough. 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