Background
The Hswen Lab focuses developing methods to sense society through multimodal artificial intelligence, digital phenotyping, and internet data. By integrating signals from social media, smartphones, wearables, and connected environments, her work develops rigorous methods to measure collective behavior, emotions, and health in real time. This approach provides a methodological foundation for understanding how societal dynamics shape population health.
As AI continues to shape healthcare and research, it’s crucial to ensure it is developed and applied responsibly. Led by Dr. Yulin Hswen, this checklist provides a framework for assessing AI ethical considerations across global contexts.
As AI continues to shape health, it is critical it is developed and applied responsibly. Led by Dr Hswen, AI-Y is a check list that provides a framework for assessing AI ethical considerations across global contexts.
Read the full article, published in Current Epidemiology Reports.
The 6th 'V' of Big Data, Virtuosity (developed by Hswen) refers to the need for AI to be deliberately designed with precision, reliability, and adaptability, ensuring that models are transparent, accountable, and optimized for real-world applications in medical and population health research.
Wesson, P., Hswen, Y., Valdes, G., Stojanovski, K., & Handley, M. A. (2022). Risks and opportunities to ensure equity in the application of big data research in public health. Annual Review of Public Health, 43, 59-78.
Chicago