In this introductory lecture, Dr. Julia Neidhardt, Director of the CDLab for Recommender Systems and UNESCO Co-Chair in Digital Humanism, and Dr. Irina Nalis, psychologist, and interdisciplinary researcher at the CDLab, explore recommender systems from a Digital Humanism viewpoint, focusing on the intersection of technology, psychology, and societal needs. Addressing the limitations and risks of accuracy-centric metrics, they emphasize the importance of establishing new research and development methods to go beyond accuracy and towards more human-potential centered recommendations. Their lecture, based on interdisciplinary research including advanced algorithms, cross-domain recommendations, and the integration of large-language models, demonstrates the potential of recommender systems to foster diversity, serendipity, and democratic fairness. They further discuss the role of choice architecture and affordances in making responsible recommendations, highlighting the importance of aligning with broader policies like the EU Digital Services Act to meet societal needs and enrich the digital landscape.