USA-based Bangladeshi Sumaiya Shrabony shares her experiences as a technical program manager, AI workflow builder, and content creator with using AI professionally and personally, and how she feels about how AI is using people's data and works.
This interview by Karen Smiley is part of our AI6P interview series on "AI, Software, and Wetware". It showcases how real people around the world are using their wetware (brains) with AI-based software tools or are being affected by AI. The article includes a full human-edited transcript.
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Sumaiya Shrabony is a technical program manager and AI workflow builder by day and a content creator by night. Sumaiya also authors the Ground Truth newsletter on Substack. We discuss:
- Why AI output can be technically correct, polished, and still “miss everything that matters”
- The contradiction of demanding strict data governance at work while benefiting from AI models trained on unconsented data
- How “just opt out” ignores the real professional and economic cost of saying no
- Not trusting genAI tools to draw technical architecture diagrams
- Concerns with Grammarly, GitHub, Atlassian, and X opt-outs and use of data
- The legal shift introduced by California’s AB 2013 law
- Why she believes universal opt-out by default is mandatory as a first step towards transparency and trust
and more. Check it out, and let us know what you think!
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