In Using Human-in-the-Loop AI to Understand Stigma During the Deployment of Addiction Evidence-Based Practices in the HEALing Communities Study, published by the American Society of Addiction Medicine, SIG Director Nabila El-Bassel and other SIG researchers discuss how using artificial intelligence as a research tool and the importance of a human-in-the-loop model.
With the use of AI, they were able to unearth new information about how stigma featured in HEALing Communities coalition meetings:
One of the most consequential findings for addiction medicine to come from our research is that stigma discussions in the coalition meetings were linked to discussions of race/ethnicity.9 Specifically, stigma-related sentences were about 57% more likely to occur when racial or ethnic disparities were mentioned (OR=1.57; 95% CI, 1.22–2.03). Additionally, as the percentage of racial/ethnic minoritized populations increased in a community, so did the strength of the associations between EBP discussions and stigma. It is also important to focus on stigma in communities that tend to have a higher percentage of people of color who face more discrimination than counties that have fewer people of color, as found in our paper.
They also emphasize the ways that human-in-the-loop workflows can be expanded to other research methods:
This human-in-the-loop AI workflow should be used not only as a retrospective analytic strategy, but also as a broader implementation research method with potential application across addiction medicine and other community-engaged research. In this approach, AI can efficiently identify patterns across large volumes of routine narrative data, including team meetings, supervision notes, case conferences, implementation logs, and participant feedback, while human interpretation remains essential for determining the meaning, relevance, and appropriate use of those findings.
Read Using Human-in-the-Loop AI to Understand Stigma During the Deployment of Addiction Evidence-Based Practices in the HEALing Communities Study.
