Holding automated systems accountable for the harm and the good they do.
Algorithms increasingly decide what Nepali creators, journalists, and activists can say online, and technology is increasingly used to facilitate gender-based violence and harassment. Both problems share a root cause: automated and platform-mediated systems operating with almost no local accountability or language support.
For us, this area covers two connected workstreams: investigating how algorithmic systems (content moderation, recommendation engines, AI tools) shape Nepali digital life, and building the multilingual evidence base needed to name, document, and respond to technology-facilitated gender-based violence.
Automated systems that are legible and answerable to the Nepali public they affect, in Nepali languages, and digital spaces where technology-facilitated abuse can be documented, named, and acted on rather than dismissed for lack of evidence.
Primarily through research and analysis (diagnostic reports, corpus building), with training and community-facing outputs (zines, carousels, educational content) to make the findings usable beyond an academic audience.