U nder the new leadership of Marty Makary, the FDA should focus more attention on the critical role of real-world clinical ...

Through her novel three-pronged approach to attacking real-world dataset issues, Jeong hopes to create guidelines and best practices in data preparation for equitable and fair ML.

Data is the lifeblood of both machine learning and ad targeting. But datasets often contain pernicious biases, and the privacy landscape presents challenges for industries and businesses that ...

Black and Latinx homes are more likely to be undervalued by real estate appraisers, who are mostly older white men. New recruiting and technology aims to change how appraisals are done and by whom.

The company's paper on high-stakes decisions made by foundation models joins the conversation on bias in generative AI, but Anthropic doesn’t recommend using its methods in the real world.

This is a real-world problem. In 2021, researchers found that free image databases that could be used to train AI systems to diagnose skin cancer contain very few images of people with darker skin ...

There is no better real-world example of significant data ethics complexities than Facebook. The data privacy scandal that has emerged over the past few years is a unique educational tool for any ...

AI image generators like Stable Diffusion and DALL-E amplify bias in gender, race and beyond, despite efforts to detoxify the data fueling these results.

So argues COTA, a tech company providing oncology real-world data abstraction, curation and analytics to providers and life sciences companies.