Theoretical analysis demonstrates risks of algorithmic apathy in healthcare systems, highlighting the necessity of patient engagement and ethical artificial intelligence.
Key Points
To examine how artificial intelligence tools influence perceptions of healthcare justice and explore the ethical threats posed by institutional complacency toward patient autonomy.
Conducted a theoretical analysis integrating Hannah Arendt's concept of the 'banality of evil' and Miranda Fricker's framework of 'epistemic injustice'.
Evaluated systemic vulnerabilities in patient data privacy, algorithmic transparency, and healthcare decision-making.
Identified widespread apathy and institutional complacency, rather than overt malicious intent, as the primary threat to fairness and transparency in healthcare artificial intelligence.
Demonstrated that mitigating epistemic injustice requires active civic engagement, rigorous critical reflection, robust data privacy safeguards, and patient advocacy for ethical algorithmic systems.