Maseno–Princeton Partnership for African Language AI
A strategic research alliance between MCAAI and Princeton University building language technologies and large language models that integrate low-resource African languages into the global AI ecosystem.
The collaboration between the Maseno Centre for Applied Artificial Intelligence (MCAAI) and Princeton University bridges the global digital divide by developing language technologies for underrepresented African languages. Its cornerstone is a six-week Princeton Global Seminar, "Technology for African Languages in the Digital Age," hosted on the Maseno University campus, where Princeton and Maseno students work in mixed teams to collect, clean, and analyze localized language data and build digital tools that expand African language representation in AI systems. The partnership directly advances MCAAI's mission of countering digital language exclusion through NLP pipelines for local dialects and improved datasets for tools such as AfriVoices-KE and automatic speech recognition systems tuned to regional accents and vocabularies. Led by Princeton scholars including postdoc Happy Buzaaba, the program also introduces students to computational research ethics, examining where internet-harvested data originates and how bias affects data collected from historically marginalized communities.
Objectives
Linguistic Data Harvesting
Princeton and Maseno students collaborate to collect, clean, and analyze localized data for indigenous and widely spoken African languages such as Swahili.
Digital Tool Synthesis
Students design and build digital architecture to expand the footprint of underrepresented African languages within emerging AI and machine learning tools.
Research Ethics
Academic tracks examine the origin, quality, and bias of internet-harvested data from historically marginalized communities.
MCAAI as the Local Research Crucible
MCAAI provides field access, language expertise, and infrastructural deployment for the partnership. As the local research anchor, the Centre connects Princeton's curriculum and funding with grounded, community-facing language work — supporting development of NLP pipelines for local dialects and enriched datasets for tools like AfriVoices-KE and regional automatic speech recognition systems.
6 weeks
Global Seminar Duration
Princeton undergraduate and seminar students spend six weeks on the Maseno University campus, paired with Maseno computing and IT students in mixed peer groups to co-develop African language AI tools.
Get Involved
Explore the Language Technologies Behind This Partnership
Learn more about the NLP models and datasets MCAAI is building, or find out how to apply and participate in future joint Global Seminars.