DESIGNING AN AI FRAMEWORK TO NURTURE PROSOCIAL BEHAVIOUR AND REDUCE ONLINE TOXICITY

The growing tendency of internet aggression, cyberbullying, and toxic communication has generated the necessity of smart technology to promote desirable digital behaviour. Although psychologists have gone a long way in creating and testing digital interventions that enhance empathy, cooperation, and positive interaction, they have not yet been applied in real technological systems. The current research suggests an Artificial Intelligence (AI) model that makes psychological understanding available in scalable and data-driven digital solutions to curb online toxicity and encourage prosocial behaviour in adolescents and young adults. The suggested framework is designed based on three mutually reinforcing dimensions, namely, proactive, interactive, and reactive interventions, each of which is accommodated by the properties of user interaction timing and nature. Prevention-based solutions will narrow down the adverse interactions on the internet by using educative prompts, emotional awareness devices, and the digital literacy module provided through AI capabilities. The interactive interventions utilise the real-time monitoring and adaptive feedback tool through natural language processing (NLP) and sentiment analysis in order to promote self-regulation and empathy in online interactions. Reactive intervention is premised on Reactive post-event reflection and behavioural strengthening, which involve the provision of Restorative feedback, online counselling referral mechanisms as well as peer-support. The combination of these layers will result in a complete ecosystem that is toxic in the prevention of online behaviour and responsive. The theoretical framework revolves around the methodological integration of the supervised and reinforcement models of learning with the socio-behavioural data sets when distinguishing linguistic and affective signals of aggression, empathy and cooperation. The lessons inform the dynamic provision of the interventions and consequently contextual lessons with the use of the ethical data. The study also embraces the principles of participatory design because the educators, psychologists and adolescent users are invited in system verification to enhance usability and credibility. There are preliminary signs that AI-inspired interventions grounded on the psychological theory and balanced with interdisciplinary cooperation can result in a drastic decrease in cases of verbal aggression and an increase in the number of cases of empathy and meaningful discussions in the virtual environment. The paper is also an extension of the existing discussions in the field of AI ethics, digital well-being and social technology because it provides a path towards transforming AI into a means of behavioural empowerment and digital citizenship rather than a surveillance tool. It suggests cooperation among the industries to transform technological innovation not only to be safer, but also caring, empathetic, and inclusive in the digital world. The proposed AI application can be duplicated as an evidence-based strategy of the promoting of the positive internet communication within the educational, social, and community platforms.