如何制造帮助而不是伤害人类的AI

TED简介

Speaker： Margaret MitchellKey words：人工智能Abstract：用于训练人工智能的数据要注意全面，不要有biases。@TED: As a research scientist at Google, Margaret Mitchell helps develop computers that can communicate about what they see and understand. She tells a cautionary tale about the gaps, blind spots and biases we subconsciously encode into AI -- and asks us to consider what the technology we create today will mean for tomorrow. "All that we see now is a snapshot in the evolution of artificial intelligence," Mitchell says. "If we want AI to evolve in a way that helps humans, then we need to define the goals and strategies that enable that path now."Rating: ⭐️⭐️⭐️学习笔记

The speaker:

working on helping computers to generate human-like storiesfrom sequences of images

found when computers saw ahorrible, life-changing and life-destroying event and thought it was somethingpositive.

Why:

the computers were trained with images, most of which are positive.

This is Data biases.

Biases that reflect a limited viewpoint, limited to a single dataset --biases that can reflect human biases found in the data, such as prejudice and stereotyping.

参考内容

Link：How we can build AI to help humans, not hurt us | Margaret Mitchell

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