The UNESCO, in collaboration with the University of Oxford, has launched a free global online course designed to help legal and judicial professionals understand the growing role of artificial intelligence in justice systems. The course, titled “AI, Justice and the Rule of Law,” aims to equip court officials, lawyers, policymakers, and other justice system actors with practical tools to evaluate and manage the impact of AI technologies on legal decision-making, evidence assessment, and human rights protection. Overview of the Global AI and Justice Course The course responds to the increasing use of artificial intelligence in courtrooms and legal systems worldwide. AI tools are already being used in areas such as evidence analysis, case management, and legal research, raising important questions about fairness, transparency, accountability, and due process. Developed by the UNESCO in partnership with multiple academic units of the University of Oxford, the programme integrates perspectives from law, governance, and ethics to help professionals navigate emerging challenges in digital justice systems. The initiative is also supported by the European Union and reflects a global effort to strengthen legal systems in the context of rapid technological change. Course Structure and Learning Format The course is delivered online and is self-paced, allowing participants from around the world to engage with the material flexibly. Key features include: Approximately 12 hours of guided learning content Optional additional learning resources Free access for all participants Digital certification upon completion Upon successful completion, participants receive a digital certificate issued by the University of Oxford in partnership with UNESCO and associated academic institutions, including the Blavatnik School of Government and the Faculty of Law. The English version of the course launched on 27 April 2026, with French and Spanish versions scheduled for release in June 2026. Purpose and Importance of the Course The rapid integration of artificial intelligence into legal systems has created new opportunities and risks for judicial institutions. While AI can improve efficiency and access to justice, it also introduces challenges related to bias, accountability, and transparency. The course is designed to strengthen institutional capacity by helping justice professionals understand how AI systems function and how they should be evaluated within legal frameworks. A central feature of the programme is the introduction of an AI and Rule of Law Checklist, which provides practical guidance for assessing AI systems used in courts, including their use in evidence and decision-making processes. Key Themes Covered in the Course The AI, Justice and the Rule of Law course explores several critical areas relevant to modern judicial systems, including: AI in evidence evaluation and court procedures Judicial independence in digital environments Human rights and gender equality considerations in AI systems Algorithmic bias and fairness in automated decision-making Transparency and accountability in AI-assisted justice systems Safeguards against over-reliance on automated tools These themes are designed to help legal professionals critically assess how AI technologies affect judicial processes and how to ensure that legal standards and human rights protections are upheld. Who the Course Is For The programme is designed for a wide range of participants working in or around justice systems. Target participants include: Judges and magistrates Prosecutors and lawyers Court administrators Policymakers involved in justice reform Civil servants and regulatory professionals Legal academics and researchers Early-career legal professionals Importantly, the course does not require a technical background in artificial intelligence, making it accessible to legal practitioners and policymakers who may not have prior experience in data science or computing. Strengthening Justice Systems in the Age of AI As artificial intelligence becomes more deeply integrated into public institutions, courts around the world are increasingly required to evaluate algorithmic systems and digital evidence. The course supports this transition by providing a structured, evidence-based framework to ensure that AI technologies reinforce rather than undermine the rule of law. It encourages judicial actors to critically examine: How AI-generated outputs are used in legal contexts Whether algorithmic systems introduce bias or discrimination How judicial independence can be preserved in digital environments What safeguards are necessary to protect fair trial rights By addressing these issues, the programme aims to strengthen trust in justice systems while supporting responsible technological adoption. A Global Effort for Ethical AI in Justice The collaboration between the UNESCO and the University of Oxford reflects a broader international effort to promote ethical and human rights-based approaches to artificial intelligence. The course is part of a wider initiative to support governments and judicial systems in developing policies and tools that ensure AI is used responsibly in legal contexts. Call for Action The AI, Justice and the Rule of Law course represents a significant step toward preparing global justice systems for the challenges and opportunities of artificial intelligence. By offering free, accessible training to legal professionals worldwide, the initiative aims to strengthen judicial capacity, protect human rights, and ensure that technological innovation supports rather than undermines the rule of law. LEARN MORE & ENROLL HERE For more opportunities such as these please follow us on Facebook, Instagram, WhatsApp, Twitter, LinkedIn and WPChannel Disclaimer: Global South Opportunities (GSO) is not the organization offering this opportunity. For any inquiries, please contact the official organization directly. Please do not send your applications & CVs to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.