  As artificial intelligence (AI) systems become more prevalent, ensuring
fairness in their design becomes increasingly important. This survey focuses on
the subdomains of social media and healthcare, examining the concepts of
fairness, accountability, transparency, and ethics (FATE) within the context of
AI. We explore existing research on FATE in AI, highlighting the benefits and
limitations of current solutions, and provide future research directions. We
found that statistical and intersectional fairness can support fairness in
healthcare on social media platforms, and transparency in AI is essential for
accountability. While solutions like simulation, data analytics, and automated
systems are widely used, their effectiveness can vary, and keeping up-to-date
with the latest research is crucial.
