Gender and sexual identity are crucial parts of one’s identity. Let’s explore whether data structures could ever become advanced enough to capture this diversity accurately. In this final, special episode of Designing Cities for All, the disproportionate impact of AI systems on marginalized groups, specifically on LGBTQIA+ individuals, is explored. Even though the implementation of algorithmic models is heavily increasing, the inclusivity of these structures does not improve evenly. In fact, they worsen discrimination, going as far as building models to detect one's sexual orientation from their facial features. This reinforces the urgency about the trajectory of these technologies as they are becoming the tools to govern societies. As gender and sexual identity are also crucial parts of one's identity, we will explore if data structures could ever reach a complexity to accurately 'decode' this multiplicity.