capable of understanding and adapting to the complex and dynamic world around us, opening up new avenues
for innovation and discovery.
However, changes often bring risks. In this regard, ethical and societal considerations must be taken into
account since artiﬁcial intelligence can be unprecedentedly powerful and easy to control. We must be mindful
of potential biases and unintended consequences that may arise from the use of tool learning in the real
world. When natural language, which almost everyone knows how to utilize, becomes the driving source of
production, the likelihood of making mistakes is heightened. Mitigating these possible risks is not a one-sided
affair, but a joint effort should be made by the developers of the models, the developers of the applications, the
users, etc. We leave more discussions on safe and trustworthy tool learning in § 5.1.
Tool Learning with Foundation Models