abstract
Ethical, fairness, and responsible AI have emerged as pivotal concerns in the design and construction of artificial intelligence systems. This systematic literature review aims to comprehensively analyze the evolving landscape of ethical and responsible AI practices and principles within the domain of AI system development. Over the past decade, the rapid proliferation of AI technologies has underscored the critical need for ethical considerations that extend beyond mere compliance. The review investigates the frameworks, methodologies, and best practices that advocate for embedding ethical, fairness, and responsible AI principles into the very fabric of AI systems during their design and construction. By examining a wide array of scholarly contributions, this review seeks to elucidate the key ethical challenges faced by AI developers, the strategies employed to integrate fairness and ethical considerations, and the emergent best practices for cultivating responsible AI. Furthermore, it will explore the impact of ethical and responsible AI design on society, policy, and the broader AI landscape. The findings from this review will provide valuable insights for AI practitioners, researchers, and policymakers, highlighting the importance of ethical and responsible AI as an inherent part of the AI design process.
outcomes