Prompting Against the Bias: The Chef’s Struggle for Algorithmic Truth
- Jun 8
- 2 min read

In my daily life as a chef and entrepreneur, I rely on technology to bridge the gap between abstract ideas and professional reality. AI has become a sophisticated translator, capable of taking what might otherwise be "senseless" data and refining it into polished, winning proposals that have secured real-world clients. It is a powerful tool for structure helping me sharpen my vision, draft menus, and articulate concepts that make sense to a broader market.
However, this efficiency comes with a silent, demanding cost.
The same machine that facilitates my business often struggles to comprehend the soul of my craft. When it comes to Afro-fusion cuisine and the use of indigenous ingredients, AI frequently defaults to Western-centric scripts that are either too ambitious or fundamentally distorted. This forces me into a role of "algorithmic architect." I cannot be a passive user; I must constantly "sanitize" my input, choosing my words with extreme precision to prevent the AI from hallucinating or inserting its own biases.
It feels much like when a music streaming service "sneaks" unwanted recommendations into a carefully curated playlist. The algorithm is not just a neutral helper; it is an active participant constantly trying to steer my creative process toward its own predefined, biased paths. These "glitches" these unwanted, skewed suggestions are reminders that the technology was never built to hold my perspective natively.
Yet, this friction has become a form of digital stewardship.
By meticulously architecting my prompts, I am performing an act of resistance against the default. I am forcing a global entity to confront and interpret a context it was not designed to accommodate. I hold the hope that as creators continue to refine these tools, the "glitches" of today will not harden into the cultural erasures of tomorrow. Until then, my work in the kitchen and in the prompt box is to ensure that our identity is not just translated, but accurately understood.



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