Artificial Intelligence (AI) is transforming the world as we know it,
implying that it is up to the current generation to use the technology for
''good.'' We argue that making good use of AI constitutes aligning it with the
wellbeing of conscious creatures. However, designing wellbeing-aligned AI
systems is difficult. In this article, we investigate a total of twelve
challenges that can be categorized as related to a lack of knowledge (how to
contextualize, operationalize, optimize, and design AI for wellbeing), and lack
of motivation (designing AI for wellbeing is seen as risky and unrewarding).
Our discussion can be summarized into three key takeaways: 1) our understanding
of the impact of systems on wellbeing should be advanced, 2) systems should be
designed to promote and sustain wellbeing intentionally, and 3), above all,
Positive AI starts with believing that we can change the world for the better
and that it is profitable