  The development of Natural Language Generation models has led to the creation
of powerful Artificial Intelligence-assisted writing tools. These tools are
capable of predicting users' needs and actively providing suggestions as they
write. In this work, we conduct a comparative user-study between such tools
from an information retrieval lens: pull and push. Specifically, we investigate
the user demand of AI-assisted writing, the impact of the two paradigms on
quality, ownership of the writing product, and efficiency and enjoyment of the
writing process. We also seek to understand the impact of bias of AI-assisted
writing. Our findings show that users welcome seamless assistance of AI in
their writing. Furthermore, AI helped users to diversify the ideas in their
writing while keeping it clear and concise more quickly. Users also enjoyed the
collaboration with AI-assisted writing tools and did not feel a lack of
ownership. Finally, although participants did not experience bias in our
experiments, they still expressed explicit and clear concerns that should be
addressed in future AI-assisted writing tools.
