Humane Recommender Systems

Recommender architectures that explicitly encode human wellbeing metrics—such as recovery time, learning, and pro-social behavior—into their reward functions. These systems constrain content ranking and sequencing to avoid addiction loops, outrage amplification, and harmful spirals, and provide controls for users to inspect and tune their own recommendation profiles.