One of the numerous ethical points we're addressing right now is algorithmic bias. AI methods learn from historic data, which suggests they'll continue and even worsen existing societal biases. For example, recruitment algorithms based mostly on previous hiring practices would possibly unintentionally exclude qualified candidates from minority groups (Dastin,...
One of the numerous ethical points we're addressing right now is algorithmic bias. AI methods learn from historic data, which suggests they'll continue and even worsen existing societal biases. For example, recruitment algorithms based mostly on previous hiring practices would possibly unintentionally exclude qualified candidates from minority groups (Dastin,...
One of the numerous ethical points we're addressing right now is algorithmic bias. AI methods learn from historic data, which suggests they'll continue and even worsen existing societal biases. For example, recruitment algorithms based mostly on previous hiring practices would possibly unintentionally exclude qualified candidates from minority groups (Dastin,...
One of the numerous ethical points we're addressing right now is algorithmic bias. AI methods learn from historic data, which suggests they'll continue and even worsen existing societal biases. For example, recruitment algorithms based mostly on previous hiring practices would possibly unintentionally exclude qualified candidates from minority groups (Dastin,...
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