Inclusion in AI
Meredith highlights the critical lack of representation for older adults and people with disabilities in AI training datasets, which can lead to skewed outcomes in systems like facial recognition and speech recognition. The conversation emphasizes the importance of diverse data contributions while navigating privacy concerns, particularly for individuals with atypical disabilities. Additionally, the need for inclusive testing and labeling processes is underscored to ensure these systems work effectively for all users.In this clip
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The Gradient
Meredith Ringel Morris: Generative AI's HCI Moment
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