As courts modernise procedures and information systems, AI tools are increasingly introduced to support judicial work, case management, evidence analysis and access to legal information. These technologies can strengthen efficiency, consistency and access to justice. Yet they also raise fundamental questions about fairness, due process, transparency, explainability, and accountability. The course will address the following questions, and many more: - How should judges assess algorithmic outputs presented in court? - What safeguards are needed to prevent bias or over-reliance on automated systems? - How can courts adopt innovation while preserving independence and public trust? Developed in partnership with UNESCO, this course provides a human rights-based framework for understanding AI’s impact on justice systems and safeguarding the rule of law.

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Artificial intelligence is rapidly transforming how institutions, governments, and organizations operate. This course equips professionals with the essential understanding and practical tools needed to lead digital transformation responsibly and effectively. It provides a bridge between technical concepts and real-world policy applications, enabling decision-makers to use AI for improved governance, foresight, and institutional performance.
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Generative AI Prompt Engineering Guide

Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics. Prompt engineering skills help to better understand the capabilities and limitations of large language models (LLMs). Researchers use prompt engineering to improve the capacity of LLMs on a wide range of common and complex tasks such as question answering and arithmetic reasoning. Developers use prompt engineering to design robust and effective prompting techniques that interface with LLMs and other tools. Motivated by the high interest in developing with LLMs
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