Through the Lens of Humanity: Unveiling Perspectives on AI Bias

This thesis paper examines what diverse individuals perceive as bias in the AI technologies and how they understand and respond to the embedded biases of man in AI algorithms. The focus of this paper is on perceptions of AI bias, rather than the than the actual biases present in the algorithms themselves or the actions that may result from these perceptions. A qualitative design is used to present a detailed description and in-depth understanding of how biases are perceived and experienced among different ages and nationalities. It will combine semi-structured interviews with participants from varied backgrounds to provide a nuanced view of how biases are perceived and experienced across different ages and nationalities. Significant are the findings about what will be aware and concerned at different levels of augmentation and mitigation by AI about social and ethical challenges. Indeed, this has critical importance in developing transparent, fair, and accountable AI and will be relevant in the more general discussion related to gaining public trust with the deployment of such technologies in an ethical manner. This paper presents challenges that AI has brought on public trust and ethical consideration; hence, it will enhance the visibility of research within the academic audiences and practitioners in fields concerned with AI ethics, technology policy, and the sociotechnical consequences of artificial intelligence.