His article, titled "In the AI science boom, beware: your results are only as good as your data", argues that achieving trustworthy results through machine-learning systems requires intensive vetting of data.
LEXINGTON, Ky. (Feb. 22, 2024) — When Laneshia Conner was in graduate school, an instructor told her that she had great questions. From there, she says she began to find that she had more questions than answers.
The program allows students from underrepresented backgrounds and communities to get a jumpstart in health equity research early in their college experience