Data labeling has long been a critical component of helping data scientists to prepare data for machine learning (ML) and artificial intelligence (AI). In the modern era of generative AI, the role of ...

A Michigan-based deliberative study found strong public support for patient-informed artificial intelligence (AI) labeling in health care, emphasizing transparency, privacy, equity, and safety to ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra As LLMs have continued to improve, there has been some discussion in the industry about the continued need for standalone data labeling ...

AI (artificial intelligence) is rapidly gaining traction in mental health care, and for good reason. It offers the potential to streamline care, uncover clinical insights, and broaden access to ...

Some states are passing new laws requiring artificial intelligence to be clearly labeled, especially in regulated industries or on high-stakes... Want to opt out of AI? State labeling laws might help ...

It could be easy to dismiss the work data-labeling firms do. Surge AI CEO Edwin Chen said that could stem from misunderstanding what they do. "I think a lot of people think of data labeling as it ...

Microsoft has built watermarking controls into Microsoft 365 that tag images, video, and audio created or edited by its Copilot AI tools. The feature gives IT administrators and individual users ...

In the past 18 months, the FDA has outlined clear guidelines for designing, documenting, updating, and monitoring AI-powered ...