Positive Alignment: Artificial Intelligence for Human Flourishing

The paper introduces the concept of Positive Alignment in AI, which emphasizes the development of systems that actively promote human and ecological flourishing while ensuring safety and cooperation. It critiques existing alignment approaches for being reactive and suggests technical directions such as data filtering, pre- and post-training evaluations, and collaborative value collection to address alignment failures. This framework aims to foster a diverse range of viewpoints and decentralized governance, which is crucial for practitioners to enhance the ethical and societal impact of AI systems.