In his masterclass, “Beyond the Algorithm: The Global Supply Chain of Human Labor for AI”, he will expose the dangerous, underpaid work behind AI systems, data labeling and content moderation, tracing it to histories of gendered and colonial exploitation.

Behind every algorithm, who pays the price? Join Data Labelers Association Vice President @ephantuskanyugi.bsky.social Kanyugi who will be speaking at the Singapore Future AI Summit 2025 on October 7th.

Happy Mother's Day!
To all the moms holding it down, pushing through unseen struggles, and showing up no matter what — thank you. You are the backbone of families, communities, and our world.

Here’s to recognizing your sacrifices not just today, but every day. 💐

#MothersDay #ThankYouMoms

𝗙𝘂𝗻 𝗙𝗮𝗰𝘁:
The first "data labeling" for AI can be traced back to the 1960s when researchers manually labeled images of faces to train early facial recognition systems, long before computers could even process images in color! #AI #Datalabeling #DataAnnotation

Kenya’s High Court has ordered Worldcoin to delete all biometric data collected in the country. A win for data privacy—but what does it mean for the rest of us working in the AI pipeline?

#Worldcoin #DataPrivacy #DeleteMyData

Celebrating the hands behind AI this Labour Day in Kenya. Data labelers—the invisible architects—deserve fair pay, mental health support, and real recognition. Join the movement with the Data Labelers Association. #LabourDay #InvisibleArchitects #FairWorkAI

Shoutout to Mercy Mutemi for the big up on DLA! We truly appreciate the recognition and continued support in pushing for fair and dignified digital work. Let’s keep the momentum going!
#DLA #FairWork #DigitalJustice #OnlineWorkMatters

Honored to attend @SiasaPlace’s 10th anniversary! 🎂 Seeing youth-driven civic-tech innovations and hearing passionate leaders in action was truly inspiring. Here’s to another decade of empowering young voices! #SPat10 #CivicTech #DataForGood

AI is evolving at breakneck speed, but what’s fueling this rapid progress? Massive datasets, powerful computing, and advanced algorithms are key. Yet, none of it works without high-quality labeled data, meticulously prepared by data annotators who remain the unsung heroes of AI development.

AI is moving fast, but regulations are struggling to keep up. The lack of clear policies makes it hard for developers to know what’s legal today vs. banned tomorrow. We need global AI standards ASAP!