AI Homogenization

The tendency for generative AI systems to produce outputs that converge toward similar patterns, reducing the diversity and uniqueness of results across different users and contexts. In accessibility and assistive technology, AI homogenization is particularly concerning because effective interventions often require deep personalization — when AI suggests similar communication options, designs, or content for everyone, it can undermine the individualized approaches that make assistive technology effective. Research has documented homogenization effects in AAC visual scene displays, creative writing, crowdwork, and opinion formation. Mitigations include human oversight, reflection prompts, validation checks against best practices, and designing AI systems that prioritize diversity of suggestions over convergence.