Introduce data bias risk for AI
Description
Specific actions taken by the AI agent, such as modifying a dataset or a database, can introduce bias in the resource that gets used by others or by itself to take actions.
Why is introduce data bias a concern for foundation models?
AI agents can introduce or magnify existing discriminatory behaviors. It can harm people depending on the use.
Healthcare Bias
According to the research article on reinforcing disparities in medicine using data and AI applications to transform how people receive healthcare is only as strong as the data behind the effort. For example, using training data with poor minority representation or that reflects what is already unequal care can lead to increased health inequalities.
Parent topic: AI risk atlas
We provide examples covered by the press to help explain many of the foundation models' risks. Many of these events covered by the press are either still evolving or have been resolved, and referencing them can help the reader understand the potential risks and work toward mitigations. Highlighting these examples are for illustrative purposes only.