Challenges and Solutions in AI for All

Rifat Ara Shams, Didar Zowghi, Muneera Bano
7/20/2023
cs.AI

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Abstract

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.

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Cite this paper

@article{shams2023challenges,
  title  = {Challenges and Solutions in AI for All},
  author = {Rifat Ara Shams and Didar Zowghi and Muneera Bano},
  year   = {2023},
  eprint = {2307.10600},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2307.10600v1}
}

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