We have selected 3 impactful problems and scoped them down into doable projects to share with our community.
Reflections on the concerns and reactions to deepfakes in the run up to the Indian election.
Uli ‘s collective journey continues.
The meaning of a word, and whether it is abusive, can change according to context. How can Machine Learning tools incorporate this nuance?
On Developing Open Source Slur Lists in Indian English, Hindi, Tamil and Malayalam
Is it possible to imbue the creation of a #machinelearning tool with principles? That was our intent with Uli.
The fatigue caused by online gender-based violence often has a chilling effect. It silences diverse voices in the very spaces that need to be more equitable and inclusive!
We make a case for what federated and centralised platforms must implement in order to tackle cross-platform abuse more effectively
Learning DevSecOps and a security-first approach to software development
Cross-platform harassment on online platforms is a burgeoning issue, we look at responses that have come up to tackle the same
Feluda is one of the highlighted solutions underscoring the importance of DPGs and collaboration for fostering an accountable and fair information environment
Feluda has been recognised by the DPGA
