@scientistinpink
The data you use really matters when it comes to AI. That’s why we created AUTALIC: a dataset of sentences from Reddit that classify anti-autistic speech in context. It’s developed to decrease community censorship by lowering false positives, because autism is not a bad word.
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Introducing AUTALIC
We developed the first dataset that contains anti-autistic ableist speech annotated in-context by trained annotators. You can use it to reduce bias and censorship in automated content moderation platforms, and more!
As a research intern at Google, my project focused on improving the accuracy and efficiency of skin type recognition, to improve applications like DermAssist work better for people of all skin types.
UNBIASED: Addressing Implicit Bias in Healthcare
We co-designed technologies with primary care providers to help them become aware of their own implicit biases by analyzing their body language.
As an Adobe intern, I worked on developing a web application that automatically generates summaries of paragraphs to help make speed reading more accessible.
My 2020 NCWIT Collegiate Award application that analyzes electrocardiogram results to help women better understand their own health and advocate for themselves.