  In recent years, Artificial Intelligence has become more and more relevant in
our society. Creating AI systems is almost always the prerogative of IT and AI
experts. However, users may need to create intelligent solutions tailored to
their specific needs. In this way, AI systems can be enhanced if new approaches
are devised to allow non-technical users to be directly involved in the
definition and personalization of AI technologies. End-User Development (EUD)
can provide a solution to these problems, allowing people to create, customize,
or adapt AI-based systems to their own needs. This paper presents a systematic
literature review that aims to shed the light on the current landscape of EUD
for AI systems, i.e., how users, even without skills in AI and/or programming,
can customize the AI behavior to their needs. This study also discusses the
current challenges of EUD for AI, the potential benefits, and the future
implications of integrating EUD into the overall AI development process.
