Why Did It Do That? Experts Warn That Speed, Opacity And Thin Training Erode Human Judgment In AI-Assisted Decisions

A WUNC report on October 5 quotes Paul Scharre of the Center for a New American Security on the opacity of AI systems: “Oftentimes, with AI systems, it’s like, why…

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More Than A Third Of Employees Now Turn To AI For Companionship At Work

Workday’s Human Connection Workplace Index, surveying 2,150 employees across seven countries, found that 37 percent now use AI for companionship at work, while a third rarely have a non-transactional conversation…

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Employee Trust In AI Splits Into Four Distinct Psychological Patterns

New workplace research identifies four employee trust configurations toward AI, ranging from full trust to full distrust, plus two mismatched states, ‘uncomfortable trust’ (high competence belief, low emotional comfort) and…

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Ninety-Six Percent Of Knowledge Workers Have Submitted AI Work Without Disclosing It

A 2026 study of global knowledge workers found near-universal non-disclosure of AI assistance in submitted work product, raising questions about how organizations should define authorship, accountability, and quality control in…

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AI Is Amplifying Existing Organizational Deficiencies Rather Than Fixing Them

New research on AI-enabled decision-making finds that as organizations expand AI’s role in decisions, the technology tends to amplify pre-existing organizational weaknesses, poor data quality, unclear ownership, weak feedback loops,…

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