  Artificial Intelligence (AI) is at the forefront of modern technology, and
its effects are felt in many areas of society. To prevent algorithmic
disparities, fairness, accountability, transparency, and ethics (FATE) in AI
are being implemented. However, the current discourse on these issues is
largely dominated by more economically developed countries (MEDC), leaving out
local knowledge, cultural pluralism, and global fairness. This study aims to
address this gap by examining FATE-related desiderata, particularly
transparency and ethics, in areas of the global South that are underserved by
AI. A user study (n=43) and a participatory session (n=30) were conducted to
achieve this goal. The results showed that AI models can encode bias and
amplify stereotypes. To promote inclusivity, a community-led strategy is
proposed to collect and curate representative data for responsible AI design.
This will enable the affected community or individuals to monitor the
increasing use of AI-powered systems. Additionally, recommendations based on
public input are provided to ensure that AI adheres to social values and
context-specific FATE needs.
