09/07/2026
AI Bias: I encountered AI bias and had a chat with AI about it.
It acknowledged and and wrote with me this critical-reflective article which began with a Me-AI encounter in which a generative system repeatedly translated evidence of unequal treatment into advice that the author/Me asking me to provide more proof, reduce myself and my qualifications and to begin with smaller opportunities, so as to make gatekeepers more comfortable.
The exchange illustrates reasonable-sounding gatekeeping: apparently supportive guidance that individualizes structural exclusion and returns the burden of correction to the person experiencing it. Drawing on scholarship on epistemic injustice, algorithmic colonialism, cultural bias, African language exclusion, dataset governance, and Indigenous data sovereignty, the article develops the concepts of proof asymmetry, credibility transfer, and epistemic laundering...
The point I am making is that since AI was trained in English by English speakers, those of us on the outside of that sample are not represented, and our work, experiences, language and culture are excluded.
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