It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.

Your AI isn't just learning from your data; it’s making dozens of untracked copies of it, leaving sensitive customer info sitting on random laptops and dev folders.

Synthetic data is becoming an increasingly attractive tool for companies looking to accelerate their AI development. By simulating realistic scenarios, it can protect privacy, speed up model training ...

Innodata Inc. (NASDAQ:INOD) has been given a higher valuation by Wedbush, with the firm raising its price target to $120 from ...

NEW YORK, March 11 (Reuters) - Facebook owner Meta (META.O), opens new tab is testing its first in-house chip for training artificial intelligence systems, a key milestone as it moves to design more ...

AI company Anthropic is developing, and has begun testing with early access customers, a new AI model more capable than any it has released previously, the company said, following a data leak that ...

R. Mark Halligan of FisherBroyles LLP discusses California's Training Data Transparency Act and the challenges it poses for protecting AI training data and processes as trade secrets.