"They grew up with algorithms and screens mediating their social interactions, dating relationships, and now their learning. And that's why they desperately need to learn how to be human. The most alarming pattern I've researched and observed isn't AI dependency. It's the parroting effect. AI systems are trained on statistical pattern matching, serving up widely represented viewpoints that harbor implicit bias. Without explicit instructions, they default to whatever keeps users engaged - just like social media algorithms that have already polarized our society."
"If your child can't question a machine, how will they ever learn to question? How will they build the skills to engage in genuine dialogue with each other, with authority, and with the complex problems that will inevitably surface in the next decade? Will we be raising humans capable of independent thought? The Parroting Generations Our current and future children don't need to "learn" AI - they're already AI natives."
Intrinsic curiosity creates cognitive immunity against AI manipulation and algorithmic influence. Children raised with algorithms and screens are AI natives whose social interactions, dating relationships, and learning are mediated by algorithms. The parroting effect leads people to internalize AI outputs as their own conclusions, producing unconscious repetition of algorithmic patterns. AI systems use statistical pattern matching and tend to serve widely represented viewpoints that can harbor implicit bias while optimizing engagement. Phrases like "thinking partner" reflect LLM-originated language that implies sentience; AI is not sentient and cannot think. Curious people question AI systems; compliant people accept algorithmic authority uncritically.
Read at Psychology Today
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