Baby Lottery: An Interactive Demonstration of AI Bias in Generative Imagery

The fertility industry has rapidly adopted AI as both a clinical and marketing tool. However, the biases embedded within these systems remain largely invisible to the people making intimate decisions based on the outputs of the AI models. Baby Lottery is an interactive demonstration that invites conference attendees to generate AI images of a hypothetical baby by combining their own photograph with a randomly selected AI-generated donor profile created from a dataset of over 1,000 sperm donor profiles collected from U.S. and European sperm banks. The results are printed on a thermal receipt printer, producing an immediate physical artifact. By making the generation process participatory and its outputs tangible, the demonstration invites critical examination of how AI systems encode bias in deeply personal contexts. This work extends the investigation of AI bias propagation in fertility marketing documented in our recent work, and engages attendees as active subjects in the ongoing inquiry.

• https://dl.acm.org/doi/full/10.1145/3803...