AI as a system the erosion of human judgment скачать в хорошем качестве

AI as a system the erosion of human judgment

AI as a system the erosion of human judgmentAI’s Role in Human Judgment — Who’s Really Deciding? Artificial intelligence is often described as a tool. But what changes when AI is not just something we use — but something that quietly reshapes how decisions happen? This video explores how AI alters: • Responsibility • Authority • Accountability • Escalation • Organizational learning Not through dramatic disruption — but through subtle structural shifts. ⸻ What You’ll See in This Discussion We examine how: • Treating AI as a tool preserves the illusion that human judgment remains unchanged • Treating AI as a system reveals shifts in authority that are often invisible • Probabilistic predictions become treated as definitive answers • Automation creates perceived certainty • Speed exposes broken incentives • Optimization can quietly crowd out learning • Responsibility redistributes — and becomes harder to locate This is not a discussion of AI techniques, prompts, or tools. It is an examination of how judgment becomes displaced, diffused, or obscured inside AI-influenced systems. ⸻ For Senior Executives and Decision-Makers As AI becomes embedded in workflows: • Decision speed increases • Prediction authority expands • Escalation paths change • Accountability becomes more complex The central question becomes: If AI is “just a tool,” why does responsibility feel harder to trace? ⸻ This Video Is Not About: • AI implementation tactics • Productivity optimization • Prompt engineering • Replacing human decision-making It is about noticing structural shifts in: • Authority • Learning • Risk • Responsibility Before they become normalized. ⸻ A Core Tension Explored AI outputs are probabilistic predictions. But they often feel: • Objective • Certain • Authoritative When predictions are treated as answers, judgment does not disappear. It becomes quieter. ⸻ If this conversation resonates, consider reflecting on: • Where authority has shifted without formal acknowledgment • Where responsibility has accumulated without visibility • Where learning has slowed while performance appears optimized #AI #Leadership #ArtificialIntelligence #DecisionMaking #OrganizationalDesign #ExecutiveLeadership #AutomationBias