Bias considerations

Considerations to help avoid bias in AI classification:

1. Gather diverse data.
2. Include a wide range of judges.
3. Monitor the output of the algorithm.
4. Attend to edge cases.

   Cover as much as you can and make sure you are addressing it as a way to overcome the inherent tendency toward bias when labeling and enhance the generalizability and utility of the work you do.