Machine-Learning Search Algorithms Can Learn From Human Bias

Computers learning human languages through machine-learning algorithms will also learn human biases, according to research from computer scientists at Princeton. In fact, search engines clearly show the behavior of inherit human-like prejudices that advertisers should become more familiar with. Advertisers target advertisements based on human behavior. This is not a  new phenomenon. Researchers have also published findings on how search results learn from human bias, such as findings on racial bias from a Harvard professor or the paper from Brazil’s Universidade Federal de Minas Gerais. Now there’s one more piece of evidence from researchers at Princeton University. The new part comes with considering how marketers will target consumers based on the ability for search results and ad targeting platforms to learn from human bias. Machine learning algorithms, the same that…

Link to Full Article: Machine-Learning Search Algorithms Can Learn From Human Bias

Pin It on Pinterest

Share This