In an attempt to eliminate human bias for millions of sexual assault victims, Companion Chat is a chatbot that asks victims of their conditions to guide them to the necessary trauma-coping and law enforcement resources. The system asks users a series of questions and uses natural language processing to perform sentiment analysis and keyword extraction on these responses. Based on the aggregation of these results, a variable known as the threat constant is developed which is based on the z-score distance of individual cases from the aggregated distribution of sentiment scores and keywords, and it is used to guide victims to adequate resources. The entire system is built using the Messenger SDK for Facebook, Node JS, and MongoDB. We are open-sourcing the data sets derived from the results for their extensive research potential in social sciences and law enforcement.
Ilustrations are the cradle of human imagination and intellect. The Imaginarium of Technology(iMT) believes that engineering starts from dreams, dreams that are made of pictures each worth a thousand words. This illustration was my first attempt to conceive, capture and refine Companion Chat, in collaboration with Adi Sidapara, through pictures in order to communicate the idea, solution and the application of artificial intelligence for social impact.
The “A.I. for Good” idea illustration challenge held by iMT and XPRIZE was an opportunity to expand the possibilities of AI and provide a platform to communicate this vision to an influential audience at A.I. for Good Global summit held in Geneva this June.
An easily accessible chatbot that asks victims of their conditions to guide them to the necessary trauma-coping and law enforcement resources.
Attempt to eliminate human bias and re-victimization of potential victims of sexual assault.
Creates conversations that provide trust, comfort and confidentiality
Seen as a portal for accurate and certified information.
Distinguishes itself as not replacing humans, law enforcement professionals or medical professionals.
Create datasets for exploration of rape culture among different demographics
Allows for better utilization and deployment of existing resources