Our AI & Bias in Science Panel featured in Advance in Motion
The use of AI in science and healthcare settings is expanding, raising questions about the impacts on gender and ethnoracial minorities. To learn more about this topic, please take a look at the following resources:
- Scientific Literature:
https://www.ajnr.org/content/early/2023/08/31/ajnr.A7963.long
https://www.nature.com/articles/s41746-023-00858-z
https://www.thelancet.com/journals/ebiom/article/PIIS2352-3964(21)00151-1/fulltext
- In the Media:
https://www.nuffieldbioethics.org/news/big-ethical-questions-artificial-intelligence-ai-healthcare
https://medicalfuturist.com/4-approaches-to-eliminate-bias-in-healthcare-a-i/
https://www.youtube.com/watch?v=bcqofACB-Sk
- Tools for Detecting or Reducing Bias in AI:
https://www.ibm.com/opensource/open/projects/ai-fairness-360/
https://www.ibm.com/docs/en/cloud-paks/cp-data/4.0?topic=services-watson-openscale
https://pair-code.github.io/what-if-tool/
https://aws.amazon.com/sagemaker/clarify/
