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Mophat Okinyi

Mophat Okinyi is an AI and human rights activist, labor organizer, and former content moderator based in Kenya. He is the Founder and CEO of Techworker Community Africa and a leading voice organizing data and platform workers across the Global South. Mophat is one of the Kenyan workers who helped train large language models, including ChatGPT, to reduce harmful and toxic content, giving him firsthand insight into the hidden human labor behind AI. 


Drawing from lived experience inside global AI supply chains, his work exposes exploitative outsourcing, racialized labor hierarchies, and the psychological harm faced by content moderators and data labellers. He bridges grassroots organizing, policy advocacy, and global research collaborations to push for worker-centered AI governance and labor rights. Mophat was recognized by TIME100 AI for his impact on the future of artificial intelligence.

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Story Forum Collection

Story Forum: Exploring Art and Innovation - ON DEMAND

Story Forum: Exploring Art and Innovation - ON DEMAND

Together with creators, educators, industry leaders, and technologists, we explored the creative technologies that are impacting storytelling and how today’s artists are evolving. Now you can experience it all on-demand for free.
Video

Tackling the Ethics of AI Through the Making of GHOST IN THE MACHINE: Part 2

With: Krystal Kauffman and 4 more
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Tackling the Ethics of AI Through the Making of GHOST IN THE MACHINE: Part 2

With: Krystal Kauffman, Richard Mathenge, Milagros Miceli, Mophat Okinyi and Valerie Veatch
In the second of two Story Forum sessions on the film, Veatch presents a deep-dive into the making of her documentary as well as the technology’s implications with regards to international labor issues. During this session, Veatch leads a panel discussion with four participants from the documentary: Richard Mathenge, Mophat Okiny, Krystal Kauffman, and Dr. Milagros Miceli. This conversation offers insight into finding and shaping your story with your documentary participants, and proves essential for those interested in the systems surrounding the development of AI.
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