Cripping AI is a proposed framework that dismantles ableist assumptions in AI by centering disabled ways of knowing and respecting disabled labor in co-creation.
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StateScribe uses a dual-layer memory architecture for episodic scenes and object-centric changes to deliver live and historical descriptions, achieving 83.1% F1 accuracy across revisits in evaluations and user studies with BLV participants.
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Cripping AI: Reimagining AI Through Lived Disability Experiences
Cripping AI is a proposed framework that dismantles ableist assumptions in AI by centering disabled ways of knowing and respecting disabled labor in co-creation.
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StateScribe: Towards Accessible Change Awareness Across Real-World Revisits
StateScribe uses a dual-layer memory architecture for episodic scenes and object-centric changes to deliver live and historical descriptions, achieving 83.1% F1 accuracy across revisits in evaluations and user studies with BLV participants.