Bridging the Gap Between Ethical AI Implementations

Abstract

This paper aims to investigate the existence of artificial intelligence (AI) and its employment has been around for decades, and while it has optimized and advanced various domains of human labour, its developing capabilities have gradually extended into sectors that involve human behaviour and cognition. Naturally, its rapid integration into fields that require unique human behavior, such as creative writing in educational settings, critical thinking, empathetic communication in therapeutic contexts, and many more, has raised ethical issues and concerns from many different aspects throughout the years. In this paper, the ethical implications of AI across various domains and its consequences on societal values, privacy considerations, and human rights are thoroughly examined. Moreover, it highlights the need for robust guidelines, criticizing current frameworks for their lack of enforceability. Examining real-world cases, like IBM Watson's errors and Tesla's autopilot incidents, the paper stresses the urgency for practical and enforceable solutions. A systematic literature review methodology was applied to identify, evaluate, and synthesize existing literature on AI ethics, encompassing aspects like education, healthcare, and social interaction. The findings show the urgent need for robust ethical frameworks that prioritize societal values, privacy, and human rights.