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The 7 Biggest Ethical Challenges of Artificial Intelligence

By | Bernard Marr

Today, artificial intelligence is essential across a wide range of industries, including healthcare, retail, manufacturing, and even government.

But there are ethical challenges with AI, and as always, we need to stay vigilant about these issues to make sure that artificial intelligence isn’t doing more harm than good.

Here are some of the biggest ethical challenges of artificial intelligence.

Biases

We need data to train our artificial intelligence algorithms, and we need to do everything we can to eliminate bias in that data.

The ImageNet database, for example, has far more white faces than non-white faces. When we train our AI algorithms to recognize facial features using a database that doesn’t include the right balance of faces, the algorithm won’t work as well on non-white faces, creating a built-in bias that can have a huge impact.

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