"Instead of doing manual data analysis, or starting the data labelling, or spending some time to consolidate the data coming from different resources, we have our AI modules that can process the data and generate some insightful information for the decision-makers in the context," Zahra Shakeri, an assistant professor of‘INTEGRATED MIX OF EXPERTS’ REQUIREDand director of the school's HIVE Lab, added that while AI could help improve the readiness and resiliency of the health-care...
Generative AI models, she said, work by trying to detect relationships between words, not necessarily what is factual.One solution could be to have experts from different fields help determine what is true or to make AI models better able to detect misinformation. Increasing public awareness about the potential harms of the information produced by generative AI could also help.
But Shakeri says more leadership, governance, researchers, policymakers and stakeholders from different sectors need to come together to address the issue, similar to the advent of nuclear power. "It might sound very straightforward to talk about these concepts, but when it comes to the implementation of the solutions, we really need to have more expertise, more support," she said."Like myself as a physician, I'm an epidemiologist. We've got veterinarians, we have other people in public health sciences and then we've got to marry that with the data scientist, machine learning experts and the engineers who will build this whole infrastructure," he said.