Algorithmic Justice: Reassessing Legal Ethics through the Lens of AI and Moral Philosophy

Abstract

As AI is adopted more widely in legal processes across the globe, the ethical issues related to algorithmic choices are becoming more important. This research takes a close look at algorithmic justice by rethinking the principles of legal ethics using moral philosophy. The study investigates how deontology, utilitarianism, Rawlsian justice, and virtue ethics can be used to determine if AI technologies involved in the judicial system are fair, accountable, and transparent. The research uses a qualitative method and involves experts from various fields to analyze AI tools in law and see how they affect legal values such as impartiality, due process, and human dignity. It points out main issues, such as algorithms that are biased, hard to understand, and take away some of our control in legal matters. The study sets up a conceptual model for algorithmic justice that links ethics and law to help guide the use of AI in courts. The results show that AI can make the law more efficient and consistent, but it should still be guided by ethical rules that focus on justice instead of only on accuracy. The study ends by suggesting ways for policy changes, ethical AI development, and future collaboration between different fields to keep legal systems in the digital world just, humane, and morally sound.