Computer says no! Why we might have an issue with Artificial Intelligence soon
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A personal reflection on the real-world failures and limitations of AI systems, drawing on examples including a biased facial recognition SDK used at US airports, the Apple Card gender discrimination controversy sparked by DHH, a MIT study showing zero COVID-fighting AI projects had positive impact, and the author's own master's thesis experience with overfitted algorithms. The core argument is that AI reflects the biases and errors of those who build and train it, and blind trust in algorithmic decisions is dangerous. The call to action is public education about AI's limitations rather than treating it as infallible.
