CULTURAL BIAS AND MORAL RESPONSIBILITY: ADDRESSING ETHICAL CHALLENGES IN AI SYSTEMS
Artificial intelligence (AI) technologies are increasingly being integrated into decision-making processes in a variety of industries, including healthcare and law enforcement. However, these technologies frequently inherit and accentuate the biases inherent in their training data, algorithms, and design decisions. This paper investigates the ethical challenges posed by cultural bias in AI, specifically in terms of moral responsibility. It investigates how AI systems, which are primarily developed using Western epistemic frameworks, may fail to account for diverse cultural perspectives, reinforcing systemic inequalities and marginalizing underrepresented groups. To address these ethical concerns, the paper draws on a range of intercultural ethical perspectives, including Islamic ethics, African communitarianism (Ubuntu), and Buddhist ethics, each of which offers unique insights into fairness, moral responsibility, and human dignity in AI governance. By analyzing case studies of biased AI outcomes—such as racial discrimination in facial recognition technology and algorithmic injustices in hiring practices—this study highlights the urgent need for a more inclusive and globally informed AI ethics framework. The paper argues that achieving fairness in AI requires proactive measures such as diverse training datasets, culturally aware algorithmic auditing, and participatory governance models that incorporate perspectives from different cultural and philosophical traditions. Ultimately, it advocates for an ethical AI landscape where moral responsibility extends beyond technical considerations to embrace a more holistic, intercultural approach to fairness and justice. This study contributes to the ongoing discourse on AI ethics by emphasizing the importance of cultural inclusivity in ensuring equitable and morally responsible AI systems.
Keywords: Cultural Bias, Moral Responsibility, AI Ethics, Fairness, Intercultural Perspectives