Researchers at the company looked into how malicious fine-tuning makes a model go rogue, and how to turn it back.

The Cost Of Bad Data. A 2016 study on bad data shows that $3.1 trillion is wasted from the US economy annually due to bad data. ... No AI model or system can be entirely free from bias, ...

The data wilderness hits major technology initiatives like AI projects when obstacles are created by data accuracy, quality, ...

According to a recent study that polled 300 U.S. data science executives, an alarming 82% of data executives are concerned about major revenue loss or a hit to brand reputation caused by bad or ...

Clean data is good—but not all bad data is bad. ... In a traditional data cleaning model, a company might pick one—say, the legal name—and overwrite all others.

New research shows models can be directly edited to hide selected voices, even when users specifically ask for them.

Bad luck: Often, the data used in a forecasting model is obtained by sampling some underlying population.For example, to measure unemployment, the Bureau of Labor Statistics uses a random sample ...

Poor data quality is enemy number one to the widespread, profitable use of machine learning. The quality demands of machine learning are steep, and bad data can rear its ugly head twice both in ...

Winsberg et al. focus primarily on the Imperial College London (ICL) model in order to undergird their claim that countries relied on bad data and flawed models. As they note, this “model was used to ...

Here are three reasons why centralizing your data is a bad idea. ... This is opposed to Figure 4, where both Service A and Service B access the shared data directly. In this model, ...