Name: 劣质数据如何让我们远离优质AI
Uploaded: 2021-01-15T15:52:26Z
Duration: 9 min 59 s
Description: 数据科学家莫伊那克·玛祖达尔说，未来的经济不会由人和工厂，而是由算法和人工智能创造。但是如果这些算法由偏置数据训练而来会怎样？玛祖达尔举了上海和纽约的例子，展示了质量不佳的数据如何导致AI做出错误的决定和预测。他提出了三项让AI更合乎道德的基础设施重置。

莫伊那克·玛祖达尔（Mainak Mazumdar）: 劣质数据如何让我们远离优质AI

劣质数据如何让我们远离优质AI

数据科学家莫伊那克·玛祖达尔说，未来的经济不会由人和工厂，而是由算法和人工智能创造。但是如果这些算法由偏置数据训练而来会怎样？玛祖达尔举了上海和纽约的例子，展示了质量不佳的数据如何导致AI做出错误的决定和预测。他提出了三项让AI更合乎道德的基础设施重置。

Artificial intelligence promises to transform the economy, yet its power can reinforce bias when built on poor data. In one case, an AI model mistakenly turned a nonwhite face into a Caucasian one because African-American images were rare in the training set. Skewed data from censuses and market studies often leaves out marginalized groups, leading to decisions that ignore their needs. Ensuring fair AI starts with investing in representative, high-quality data, not just smarter algorithms.