Abstract

The rapid deployment of artificial intelligence (AI) in public-facing autonomous systems has introduced a range of ethical challenges that must be addressed to ensure these technologies are developed and used responsibly. This paper critically reviews the ethical issues associated with AI-driven autonomous systems, focusing on transparency, safety, fairness, and public accountability. It highlights the challenges of opaque decision-making processes, potential biases in AI algorithms, and the need for reliable and safe autonomous operations. In response, the paper proposes a robust ethical framework centered on transparency, fairness, and accountability, providing a structured approach for integrating these values into AI development and deployment. The framework emphasizes the importance of explainability, bias mitigation, and stakeholder engagement, offering strategies for ethical AI implementation. The paper concludes by discussing the implications of this framework for future research, policy-making, and industry practices and calls for ongoing dialogue and collaboration among all stakeholders to ensure the ethical deployment of AI in autonomous systems.