Jordan Meyer and Mathew Dryhurst founded Spawning AI to create tools that help artists exert more control over how their works are used online. Their latest project, called Source.Plus, is intended to ...

A new tool, Data Provenance Explorer, lets users pick through the questionable provenance of many large data sets used for AI training. A new online tool allows users to identify, track and learn ...

JPSS-2 data sets are now available at the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC). These data sets include snow cover, sea ice cover, and sea ice ...

New research from the Data Provenance Initiative has found a dramatic drop in content made available to the collections used to build artificial intelligence. By Kevin Roose Reporting from San ...

Massive training datasets are the gateway to powerful AI models — but often, also those models’ downfall. Biases emerge from prejudicial patterns concealed in large datasets, like pictures of mostly ...

Leveraging artificial intelligence is a transformative solution to long-standing issues in healthcare data management and patient outcomes, one that stands to ease the burden and create a balance for ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

As an artist working across media, I’ve used everything from thread to my voice to poetically translate and express information. Recently, I’ve been working with another medium—geologic data sets.