FATE in AI: Towards Algorithmic Inclusivity and Accessibility

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


With Artificial Intelligence (AI) occupying the centre stage of technological advancements, its impact is affecting many sections of society. Because algorithmic decisions carry both economic and personal implications, fairness, accountability, transparency and ethics (FATE) in AI are geared towards checkmating algorithmic disparities. However, one of the noted limitations of the present discourse on such critical issues is the dominance of the more economically developed countries (MEDC), resulting in neglecting local knowledge, cultural pluralism and global fairness. This study builds upon existing research on responsible AI, with a focus on areas in the Global South deemed under-served vis-a-vis AI. Our goal is two-fold (1) to assess FATE-related desiderata with emphasis on transparency and ethics and (2) to offer insights and proffer recommendations to stimulate action towards representative and responsible AI. We designed a user study (n = 43) and a participatory session (n = 30) to achieve the above goals. Our findings reveal a path towards encoding bias and amplifying a form of stereotype by AI models. For improved inclusivity, we propose a community-led strategy to operationalise the collection and curation of representative data towards responsible AI design. The initiative will empower the affected community or individuals to probe and police the growing application of AI-powered systems. Moreover, we offer some recommendations, informed by the public, that adhere to social values as core requirements for practitioners to incorporate context-specific FATE in AI needs.
Original languageEnglish
Title of host publicationProceedings of 2023 ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization
Subtitle of host publication(EAAMO ’23)
PublisherAssociation for Computing Machinery (ACM)
Number of pages14
ISBN (Electronic)9798400703812
Publication statusPublished - 30 Oct 2023
Event3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization - Boston University, Boston, United States
Duration: 30 Oct 20231 Nov 2023
Conference number: 3


Conference3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization
Abbreviated titleEAAMO'23
Country/TerritoryUnited States
Internet address

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