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UCLA faculty voice: Artificial intelligence can’t reason why



Computer programs have reached a bewildering point in their long and unsteady journey toward artificial intelligence. They outperform people at tasks we once felt to be uniquely human, such as playing poker or recognizing faces in a crowd. Meanwhile, self-driving cars using similar technology run into pedestrians and posts and we wonder whether they can ever be trustworthy.

Amid these rapid developments and nagging setbacks, one essential building block of human intelligence has eluded machines for decades: Understanding cause and effect.

 
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Charlotte Marek

Charlotte takes great interest in new technologies and the startup world and believes that with the right innovations we can change the world we live in for the best. She is also greatly interested in the publishing sector. She speaks French, English, Spanish, studies Italian and has had the opportunity to work in various countries over the last few years.

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