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9 articles
This article explains how AI advice can paradoxically reduce human accuracy while increasing confidence, a phenomenon known as AI overconfidence bias.
Wharton researchers have introduced the term 'cognitive surrender' to describe how people are increasingly allowing AI systems to make decisions for them. This trend raises concerns about the long-term impact on human autonomy and critical thinking.
Learn to build a simulation framework for analyzing automotive manufacturing location decisions, similar to Stellantis's strategic expansion plans in North America.
Most startups that fail aren't necessarily running out of money—they're struggling with poor decision-making. A new analysis reveals that strategic missteps are often the root cause of failure.
Learn to build a basic humanoid robot AI decision-making system using Python and machine learning concepts, simulating how Meta's acquisition of Assured Robot Intelligence fits into the broader robotics AI landscape.
Claim Clarity argues that AI can significantly enhance the precision and efficiency of workers’ compensation claims processing, distinguishing it from general healthcare.
A new class of AI tools is revolutionizing decision-making by enabling more accurate probabilistic thinking, moving beyond traditional averages to model uncertainty and risk.
Organizations are failing at AI not due to technology, but because they lack clarity on what data actually matters, leading to amplified confusion.
Learn to build a simple AI-powered business analytics dashboard that combines data insights with human expertise for better decision-making.
