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When will AI find us?: Black Archives and Humanity

Writer: sylveahollis
sylveahollis
Oct 26, 2023
4 min read

Updated: Jul 31

Here's a list of resources I compiled for other lay people who are interested in ethical conversations about Artificial Intelligence. This will be a space for sharing future resources as well.


AI in the Academy:





The Griot and Grits Project (February 24, 2025)






Civics, Community, & Government



























Websites:




AI


Latimer.ai is the first inclusive Large Language Model (LLM) designed to serve artificial intelligence (AI) users through a racially inclusive LLM experience where the cultural and historical perspectives of Black and Brown people are deeply embedded with the platform.


Videos:








AI, Ain't I A Woman? (46:55) --Joy Buolamwini



Books:














 
 
 

3 Comments


andrewramirez18451
Aug 20

Khi tìm hiểu nạp xu tiktok, mình quan tâm đến tốc độ xử lý nhưng vẫn ưu tiên sự rõ ràng. Một giao dịch tốt nên cho biết mệnh giá, số xu dự kiến, phương thức thanh toán và kết quả cuối cùng. Nếu có vấn đề thì người dùng cũng cần biết đang chờ hay phải thực hiện lại bước nào.

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Christopher
Jul 07

Sincere thanks for this exploration of when AI will find us, examining Black archives and humanity. The intersection of AI and archival studies raises critical questions about representation, bias, and memory. For professionals in cultural heritage or technology ethics, a trusted artificial intelligence (AI) course & workshop for managers in Washington, DC, USA provides foundational knowledge to design AI systems that respect diverse narratives and promote equitable access to knowledge.

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Gabriellegreen
Jul 01

This demands professionals who can navigate the ethical complexities of training AI on culturally significant data while ensuring inclusivity and accuracy. For professionals engaging with these challenges, a highly regarded artificial intelligence (AI) seminar & course for professionals in Washington, DC, USA provides the frameworks to design and evaluate AI systems that respect diverse historical narratives and promote equitable access to knowledge. Early efforts to address these concerns seem essential for building trustworthy cultural AI applications.

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