Bias risksArtificial intelligence tools are trained on vast quantities of material — articles, images, artwork, research papers, YouTube transcripts, etc. And that means these models often reflect the biases of their creators. While major AI companies try to calibrate their models to avoid offensive or discriminatory statements, these efforts may not always succeed.
In Testing Side Effects Without the Side Effects, we explored a JavaScript Effect System where business logic doesn’t execute actions directly. Instead, it returns a description of what it intends to do in the form of a simple Command object. For example:
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