Due to its name, any clueless person could believe that we are facing a variation of the WhatsApp instant messaging application. But WhatsApp describes itself as “the first online method to detect and prevent bullying using IBM Artificial Intelligence”.
The name of said AI is Watson, and on many previous occasions it has been the subject of different articles where we have analyzed the potential and scope of this relatively restricted access platform.
The truth is that with the recent advances achieved by other platforms such as Midjourney and stable diffusionWatson’s AI has been relatively relegated or a bit out of the spotlight.
But such a situation would also seem to be favoring the finding of new and more ambitious projects, with more complex edges. For example, ending bullying in schools.
This is how WatsomApp works
A recent newspaper report Trade recounts the most recent details of WhatsAppa project composed at its core by a web application built with IBM’s AI, Watson, which has already been used in more than 12 schools in Peru, to help teachers and students improve coexistence in classrooms by fighting bullying .
Although in reality its origins go back to other territories. Since the initiative took off a few years ago in the last decade with the impulse of a team of psychologists, educators and computer technicians from the Spanish company KIOAI, a business partner of IBM, which finally developed this application that combats and prevents bullying. school.
Narciso Lema, leader of the technical community of IBM Peru, Colombia, Ecuador, Venezuela and Bolivia, told the newspaper that the use of this AI in school platforms is of great importance to record the behavior of all students:
“We must remember that no matter how complex technological resources are used, they must be adapted to the user. For example, in this case you work with children or young people, so you have to adapt the AI to collect the data without having to ‘invade’ the students’ space.
It is a collaborative work between the technologies that are within our reach. On the one hand, we have the artificial intelligence platform that is in charge of recording the information and, on the other hand, we have some robots in charge of interacting with the students.”
This is how we ended up creating this complementary robot that gives physical form to WatsomApp, equipped with a screen with a friendly interface for the sector it serves. The system uses the Watson Natural Language Classifier (NLC) platform and integrates a chatbot that talks with the children.
So that in the talks the robot is empathic, does not issue judgments and encourages the establishment of a dynamic of trust so that infants can express themselves completely naturally.
The project bases its lines of action on three key lines: gamification, artificial intelligence and data. So that the robot and the app manage to comply with all this to collect the data, analyze it and thereby outline the behavior patterns between students in the classroom to map the scenario and design strategies or take concrete actions.