The familiar adage “garbage in, garbage out” oversimplifies the challenge. Data isn’t inherently garbage. A temperature reading, a point of service transaction record made by a cashier, or a sensor ...
As AI systems grow more autonomous, Walrus argues that verifiable data infrastructure will determine which systems earn trust.
Data provenance encompasses the systematic recording of the origins, transformations and movements of data, thereby establishing the trustworthiness and reproducibility of scientific results. Recent ...
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 ...
In a world where artificial intelligence is quickly creating a situation where the average user can no longer trust the authenticity of the images, files, programs, and content they see online, the ...
NEW YORK--(BUSINESS WIRE)--Based on the work of experts from nineteen leading enterprises, the Data & Trust Alliance (D&TA) announced proposed data provenance standards, believed to be the first with ...
Last week, Anthropic proposed a $1.5 billion settlement to resolve a class-action lawsuit from authors who say their books were used -- without permission -- to train the company’s AI systems. The ...
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