When will AI find us?: Black Archives and Humanity
- sylveahollis
- Oct 26, 2023
- 3 min read
Updated: Nov 13, 2025
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.
Videos:
Doing Grueling Work for an AI: Data Labeling (2:59)--DW
The Coded Gaze: Unmasking Algorithmic Bias (2:41)--Joy Buolamwini
AI, Ain't I A Woman? (46:55) --Joy Buolamwini
Books:
Articles:
Civics, Community, & Government
Lila MacClellan, "Exclusive: Mozilla adds 4 New Directors from Diverse Backbardouns to It's Nonprofit Board in Stark Contrast to OpenAI,"December 4, 2023
AI in the Academy:
The Griot and Grits Project (February 24, 2025)
Ancestry.com Is Using AI Technology To Help Black Americans Trace Their Family Trees , Essence (June 24, 2024)
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.





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.
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.