mlsanityData to 7 Oct 2026

Challenges and Solutions in AI for All

arXiv 2307.10600 ↗First posted 20 Jul 2023cs.AIcited by 3

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Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 19 of its 87 references that are in the map. First posted on arXiv 20 Jul 2023.

Builds on

19 of 87 references.

References · 19

  1. 2019A Survey on Bias and Fairness in Machine Learningcited by 1,911
  2. 2018AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Biascited by 319
  3. 2022Theories of "Gender" in NLP Bias Researchcited by 62
  4. 2018Racial categories in machine learningcited by 48
  5. 2022Gender and Racial Bias in Visual Question Answering Datasetscited by 39
  6. 2021One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Visioncited by 33
  7. 2020Diversity and Inclusion Metrics in Subset Selectioncited by 27
  8. 2022Fairness Indicators for Systematic Assessments of Visual Feature Extractorscited by 24
  9. 2019Implicit Diversity in Image Summarizationcited by 18
  10. 2021A Framework for Fairness: A Systematic Review of Existing Fair AI Solutionscited by 18
  11. 2023Diversity and Inclusion in Artificial Intelligencecited by 14
  12. 2020Designing Fair AI for Managing Employees in Organizations: A Review, Critique, and Design Agendacited by 12
7 more
  1. 2022Tackling Algorithmic Disability Discrimination in the Hiring Process: An Ethical, Legal and Technical Analysiscited by 9
  2. 2022Social Inclusion in Curated Contexts: Insights from Museum Practicescited by 7
  3. 2021Reconfiguring Diversity and Inclusion for AI Ethicscited by 6
  4. 2021A Systematic Literature Review on Blockchain Governancecited by 4
  5. 2021Computer Science Communities: Who is Speaking, and Who is Listening to the Women? Using an Ethics of Care to Promote Diverse Voicescited by 2
  6. 2018Real-Time Inference of User Types to Assist with More Inclusive Social Media Activism Campaignscited by 1
  7. 2022Don't let Ricci v. DeStefano Hold You Back: A Bias-Aware Legal Solution to the Hiring Paradoxcited by 1

Built on by

Cited by year

Citing papers per year: 2023: 2; 2024: 0; 2025: 1.

3 papers.

  1. 2023AI for All: Operationalising Diversity and Inclusion Requirements for AI Systemscited by 6
  2. 2025Developing Strategies to Increase Capacity in AI Educationcited by 1
  3. 2023Evaluating the Inclusiveness of Artificial Intelligence Software in Enhancing Project Management Efficiency -- A Reviewcited by 0