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At best ai amplifies existing patterns and biases when handling repetitive work. Over and over we hear how Facebook, Twitter, Google, and others will solve the
by strict9 8y ago
At best ai amplifies existing patterns and biases when handling repetitive work. Over and over we hear how Facebook, Twitter, Google, and others will solve the problem of problematic content and bad actors through ai and neural networks. It's a fraud and the digital potemkin village of our era.
- fx32s 8y agoAI learns from the training data it's given and copies any biases this data exhibits. Pretty much all software today uses ML in some form to improve their services. I feel it's here to stay and not bad by default. We just have to make sure we are aware of its current limitations. Facebook is already auto-flagging content this way but it's just a very hard problem (even for humans).
- mindcrime 8y agoAI learns from the training data it's given and copies any biases this data exhibits I hate to sound like "that pedantic guy", but I'd argue that the quote above is only partially true. It's the case that some subset of AI techniques "learn from the training data it's given and copies any biases this data exhibits". There are AI techniques that aren't based on supervised learning from a pre-existing training set. That doesn't mean that those techniques can't wind up adopting the biases of their human overlords, but I believe some aspects of AI are less susceptible to this kind of bias, than others.