Without inclusive datasets, AI becomes dangerously narrow in perspective—failing users across race, gender, and context. Diverse, representative data reduces bias, improves generalisation, and ensures AI reflects the real world. Building ethical AI begins long before the algorithm—it starts with who’s in the training set.