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Guardrails for Good: How AI Containment Methods Protect Neurodivergent Users

AI containment methods are built-in safety controls that govern AI behavior and outputs. For neurodivergent users requiring predictability, clear communication, and sensory management, these guardrails—including input filtering, output constraints, and user-controlled settings—are essential for preventing confusion, anxiety, and sensory overload in AI interactions.

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Hyperfocus and Distraction: Designing AI Interfaces for Variable Attention Patterns

AI interfaces often fail neurodivergent users with variable attention patterns. This article examines how designing for both hyperfocus and distractibility through customization, reduced visual clutter, and user control can create more accessible AI systems. Research shows accessibility features benefit all users, with customizable interfaces improving satisfaction by up to 40% across user groups.

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