As a person of color navigating the digital landscape, the experience of racist tech often entails a frustrating process of being excessively specific about race to obtain accurate results.
The heart of the problem with tech lies in the unsettling demand for specificity about race when interacting with AI tools. It's an irony that cannot be ignored. While technology has the potential to unite and empower, it instead necessitates the very act of singling out one's race to yield inclusive results. The culprits are algorithms that perpetuate the default prioritization of white individuals unless explicitly instructed otherwise. Yet, the finger-pointing at algorithms alone appears as a mere cop-out, deflecting responsibility from those who wield the power to shape and mold these algorithms in the first place.