Women remain significantly underrepresented in computing and artificial intelligence (AI), facing barriers such as limited access to tools, training, and opportunities. As AI becomes increasingly integral to daily life, it has the potential to address these disparities and foster greater inclusion. Realizing this potential requires fair access, inclusive design, and strategies that actively promote confidence, participation, and representation. This study explores these dimensions, identifying pathways for AI to serve as a catalyst for change. A key finding is the lack of tools explicitly designed to support women's participation in AI. Beyond reducing bias, fostering diversity in AI development requires designing artifacts that actively promote knowledge, skills, and confidence. Empowerment in this context refers to equipping individuals to engage with and influence AI, whether as users or developers. Women's participation in AI can thus be understood as a cyclical process, where increased engagement leads to further inclusion and representation in the field. The research objective of this study is to provide information on the relation between empowerment and women in AI, using the Systematic Literature Review (SLR) methodology. The SLR proposes and analyzes 14 studies that serve as a basis to understand the relationship between women, empowerment, and AI. The results show that there is still scarce research explicitly connected to AI artifacts designed for empowerment, but there is a growing recognition of its importance. The SLR also reveals various challenges and success factors related to the role of AI in fostering gender inclusivity and empowerment, which calls for further attention. As further work, the authors will conduct empirical research to validate the findings and gather new insights, while co-designing an artifact to empower women in AI.

@inproceedings{VestvikJ25,
  title = {AI for Empowering Women in AI},
  author = {Hanna Meland Vestvik and Letizia Jaccheri},
  booktitle = {FSE},
  year = {2025},
  doi = {10.1145/3696630.3728693}
}