AI trained on AI garbage spits out AI garbage – MIT Technology Review
“Unfortunately, we have more questions than answers,” says Shumailov. “But it’s clear that it’s important to know where your data… read more
“Unfortunately, we have more questions than answers,” says Shumailov. “But it’s clear that it’s important to know where your data… read more
Wide-ranging applications of data science bring utopian proposals of a world free from bias, but in reality, machine learning models… read more
As synthetic images spread across the web, they could give new life to outdated and offensive stereotypes, encoding abandoned ideals… read more
We curate the largest publicly available database of data brokers and make it available to the wider research community. The… read more
Simply put, generative AI systems need as much data as possible to train on. The more they get, the better… read more
The Common Crawl corpus contains petabytes of data, regularly collected since 2008. https://commoncrawl.org/
Online privacy policies may not only be difficult to find but nonexistent, according to Penn State researchers who crawled millions… read more
Put all of this together and there’s the potential that companies could use data they’ve harvested from workers—by monitoring them… read more
The underlying driver of this shift is hard to grapple with. It doesn’t derive from what these models produce, but… read more
Pedestrian detectors in self-driving cars are less likely to detect kids and people of color, study shows. This is due… read more