  Artificial Intelligence (AI) can augment and sometimes even replace human
cognition. Inspired by efforts to value human agency alongside productivity, we
discuss the benefits of solving Citizen Science (CS) tasks with Hybrid
Intelligence (HI), a synergetic mixture of human and artificial intelligence.
Currently there is no clear framework or methodology on how to create such an
effective mixture. Due to the unique participant-centered set of values and the
abundance of tasks drawing upon both human common sense and complex 21st
century skills, we believe that the field of CS offers an invaluable testbed
for the development of HI and human-centered AI of the 21st century, while
benefiting CS as well. In order to investigate this potential, we first relate
CS to adjacent computational disciplines. Then, we demonstrate that CS projects
can be grouped according to their potential for HI-enhancement by examining two
key dimensions: the level of digitization and the amount of knowledge or
experience required for participation. Finally, we propose a framework for
types of human-AI interaction in CS based on established criteria of HI. This
"HI lens" provides the CS community with an overview of several ways to utilize
the combination of AI and human intelligence in their projects. It also allows
the AI community to gain ideas on how developing AI in CS projects can further
their own field.
