Description: Algorithms and Justice focus on how mathematical models and legal principles guide the ethical use of Artificial Intelligence (AI). Algorithms process large amounts of data to make decisions, but they can unintentionally reflect bias or discrimination. To ensure fairness, transparency, and accountability, both technical methods and legal frameworks are needed. Mathematically, algorithms must be designed to avoid biased outcomes, using techniques like fairness constraints and regular audits. Legally, regulations define rights, responsibilities, and remedies when AI decisions affect individuals. Together, these foundations help govern AI systems, ensuring they support justice, protect human rights, and promote trust in automated decision-making processes.