There’s no such thing as a “neutral” algorithm. Every AI model reflects human choices: – what data to include – what to ignore – what to optimize – how “success” is defined These aren’t just technical details; they’re value judgments. And according to NIST, AI bias doesn’t just stem from biased data—it’s embedded through design decisions, societal context, and system deployment. https://www.nist.gov/news-events/news/2022/03/theres-more-ai-bias-biased-data-nist-report-highlights As AI takes on more influence, transparency isn’t optional. We need to know how decisions are made and what data they're built on. We’re not just training models. We’re shaping the logic that governs tomorrow. Let’s make sure it’s accountable.