California vs. xAI: Transparency of Training Data

The legal battle between Elon Musk's xAI and the state of California has ended in a defeat for the company. xAI had sought a preliminary injunction to block the enforcement of Assembly Bill 2013 (AB 2013), which requires companies developing artificial intelligence models accessible in California to publicly disclose detailed information about the data used for training.

What AB 2013 Entails

The law requires specifying the sources of the datasets used, the dates of data collection, whether the collection is ongoing, and whether the datasets include data protected by copyrights, trademarks, or patents. Companies will also have to clarify whether the training data was licensed or purchased, and whether it includes personal information. An important aspect is the transparency regarding the use of synthetic data, which can be an indicator of model quality.

For those evaluating on-premise deployments, there are trade-offs to consider in terms of data sovereignty and infrastructure costs. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects.