Coded Bias: How AI Is Learning to Think Like Us (and Why That's a Problem)
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Coded Bias: How AI Is Learning to Think Like Us (and Why That's a Problem)
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We dreamed of a future run by fair, impartial AI. The reality is much more complicated. Our own human biases—our stereotypes, our fears, our flawed patterns of thinking—are being unintentionally coded into the very algorithms that make decisions about our lives.
Our latest feature, "Coded Biases," explores this new frontier where psychology and technology collide. We investigate:
🤖 The Ghost in the Machine: How a hiring AI taught itself to be sexist by learning from biased historical data.
🔄 Algorithmic Echo Chambers: How recommendation engines create powerful feedback loops that can distort our entire perception of reality.
⚖️ The Myth of Neutrality: Why even the definition of "success" for an algorithm can be laden with hidden human values and prejudices.
This isn't science fiction; it's happening right now. Understanding this new form of bias is one of the most critical literacies of the 21st century. Are you ready to look under the hood of our new machines? Read the full article now.
https://englishpluspodcast.com/coded-bias-how-ai-is-learning-to-think-like-us-and-why-thats-a-problem/
#AI #ArtificialIntelligence #CognitiveBias #TechEthics #CodedBias #FutureOfTech #Psychology