Artificial stupidity refers to situations where advanced technologies or artificial intelligence systems make mistakes or exhibit behavior that seems unintelligent despite their capabilities.
Imagine an AI-powered robot trying to pour milk into a glass but ends up spilling it all over the table instead. Despite its advanced programming, it fails at performing a simple task just like how humans sometimes make silly mistakes too.
Machine Learning Bias: When algorithms produce biased results due to flawed data inputs or inherent biases within the system.
Automation Paradox: The idea that while automation can increase productivity, it can also lead to job displacement and economic inequality.
Algorithmic Transparency: The concept of making the decision-making processes of algorithms more understandable and accountable.
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