  Artificial Intelligence (AI)'s pervasive presence and variety necessitate
diversity and inclusivity (D&I) principles in its design for fairness, trust,
and transparency. Yet, these considerations are often overlooked, leading to
issues of bias, discrimination, and perceived untrustworthiness. In response,
we conducted a Systematic Review to unearth challenges and solutions relating
to D&I in AI. Our rigorous search yielded 48 research articles published
between 2017 and 2022. Open coding of these papers revealed 55 unique
challenges and 33 solutions for D&I in AI, as well as 24 unique challenges and
23 solutions for enhancing such practices using AI. This study, by offering a
deeper understanding of these issues, will enlighten researchers and
practitioners seeking to integrate these principles into future AI systems.
