Digital
Health
Review
We build and amplify awesome things
About this work:
EPISTEMIC INJUSTICE
IN HEALTHCARE AI PROJECT
Healthcare is rapidly going digital and AI models have yet to be evaluated on their epistemic impact.
It is our belief that epistemic injustice, the construction of incomplete knowledge bases in medical research, data and practices, must be examined to better understand adverse impacts on communities as these data will inevitably influence existing and future training models.
“Ideas are easy. Implementation is hard."
Our Approach
Our research marries institutional archival histories with Real World Data to better understand how to engage in responsible use of AI practices in a public health context.
By understanding the depth of epistemic injustice in healthcare systems and technology, we strive to unlock unforeseen potential of reducing harm while still driving innovation in the market.
Through this research, we aim to provide a framework for successful development and use of AI within the framework of epistemic injustice.
This work will focus on researching:
- Use cases of specific medical research practices and affected communities
- Examination of health policies and laws
- Data examination and modeling
- Financial opportunities and market value in epistemic rated AI
- Report and guidelines on AI model bias reduction
Every contribution matters. Make your opinions and expertise heard. Join us in this project!
Open call for contribution closes August 31, 2024.
This is unprecedented work to examine the level of epistemic injustice as it pertains to health AI expansion.
This project was made possible by a multi institutional and industry consortium. As we embark upon this work, we will collaborate with established national institutions, initiatives and experts on medical research and health AI.
To launch this collaboration, we are proudly partnered with academic research, data modeling and review institutions.
All photography sourced from Pexels and Unsplash and falls under the Pexels License and Unsplash License.
Contributing institutions include:
.jpg)
.svg){kind=small}