Without proper guardrails, artificial intelligence runs the risk of replicating human bias and limiting broad benefits. As the healthcare industry increasingly integrates AI, researchers have the opportunity to curb bias by ensuring their studies include often-overlooked communities and benefit those in need.
But when researchers attempt to diversify their study participants, they can encounter assumptions about which communities are “ready” for innovative health interventions.
Associate Professor Adrian Aguilera’s research leverages digital & mobile technologies along with innovative methods such as machine learning to improve health & mental healthcare of low-income & ethnic minority populations, with a focus on Latinx & Spanish-speaking populations.
CalHOPE Student Support is a multi-stakeholder, partnered initiative – between sectors, across regions, and between system levels, intended to help California educators since 2021 in the unprecedented task of bringing children back into and improving the normative routines of learning and development by strengthening capacity for Social and Emotional Learning (SEL) implementation statewide.
The CalHOPE Student Support is led by the Sacramento County...
