Responsible AI and the Law

Lund University via Coursera Specialization

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Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

4 weeks, 10 hours a week
Sessions

Self-Paced
Level

Beginner

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Overview

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Artificial intelligence (AI) is reshaping how societies function, how businesses operate, and how public institutions deliver services. Yet, as AI technologies grow more powerful and more embedded in everyday life, understanding their legal, ethical, and societal implications becomes essential-not just for lawyers and policymakers, but for practitioners across all sectors. This MOOC series, AI and Law, has been designed precisely for that purpose: to provide non-lawyers with a foundational yet practical understanding of how law and AI intersect and how this knowledge can be applied in real-world contexts. The series consists of four standalone MOOCs that together form a comprehensive pathway from foundational literacy to applied practice. The first course, AI and Legal Foundations, builds essential literacy on how AI works and how legal principles apply. The second course, Governing AI: Rules, Risks, and Responsibilities, explores how societies regulate AI and manage risks. The third course, AI, Ethics, and Justice, examines fairness, accountability, and rights in the age of automation. The fourth course, AI in Practice: Real-World Challenges, applies AI insights to key sectors such as healthcare, defence, criminal justice, intellectual property, and environmental governance. Stay updated about the course series, visit our Facebook page at: AI and Law - a Lund University MOOC | Lund | Facebook

Syllabus

Course 1: AI and Legal Foundations: Law in the Age of Automation
Course 2: AI Governance: Regulation, Risk & Responsibility
Course 3: AI, Ethics & Justice: Fairness, Accountability, Rights
Course 4: AI in Practice: Challenges & Impact Assessment

Courses

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Welcome to our MOOC on how artificil intelligence is regulated and governed in practice. This course is aimed at professionals and students interested in the legal and societal implications of AI. It is particularly relevant for legal practitioners, policymakers, public sector officials, private sector actors, civil society representatives, academics, and students who want to better understand how existing legal frameworks apply to emerging technologies. Throughout the course, you will examine the EU AI Act and its risk-based approach, understand how AI-related risks are managed through legal and market tools, and analyse how responsibility is allocated across public and private actors. Drawing on theory and pracical examples, the course also considers AI’s impact on legal institutions, security, and migration, as well as the role of standards, sandboxes, soft-law frameworks, and corporate ethics in making AI governance operational. By the end of the course, you will be able to connect real-world AI systems to the rules, risks, and responsibility structures that govern them.
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Welcome to our MOOC on the legal foundations of artificial intelligence. This course is aimed at professionals and students interested in the legal and societal implications of AI. It is particularly relevant for legal practitioners, policymakers, public sector officials, private sector actors, civil society representatives, academics, and students who want to better understand how existing legal frameworks apply to emerging technologies. Throughout the course, you will explore how AI systems function from a legal perspective, including questions related to software, hardware, and legal personhood. You will also examine when and to what extent AI-driven decisions can be trusted. Drawing on legal theory and practical examples, the course will guide you through key issues of responsibility and liability. You will gain insights into how criminal law, negligence, contract law, and product liability apply when AI systems cause harm, as well as how AI intersects with fundamental rights such as privacy, fairness, and non-discrimination. By the end of the course, you will be able to understand how core legal principles adapt to intelligent systems and how individual rights can be protected in an AI-driven society
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Welcome to our MOOC on the legal and ethical goundations of AI in the real world, high-impacts sectors. This course is aimed at professionals and students interested in the legal and societal implications of AI. It is particularly relevant for legal practitioners, policymakers, public sector officials, private sector actors, civil society representatives, academics, and students who want to better understand how existing legal frameworks apply to emerging technologies. Throughout the course, you will examine how artificial intelligence reshapes healthcare, warfare and defence, criminal justice, intellectual property, and environmental governance. Across these domains, the course analyses accountability, human rights, liability, innovation, and justice in contexts where AI decisions have profound consequences. By the end of the course, you will be able to assess how sector-specific legal frameworks respond to AI deployment and evaluate the balance between technological innovation and fundamental rights protection. The course culminates in a Capstone Project, where you develop a structured AI Impact Assessment Paper (2500 – 3000 words). This document can serve as a portfolio-level deliverable - demonstrating to employers, institutions, or academic programs that you can analyse complex AI systems through a legal-ethical lens and design informed, responsible solutions.
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Welcome to our MOOC on how artificial intelligence affects democracy, power, and justice. This course is aimed at professionals and students interested in the legal and societal implications of AI. It is particularly relevant for legal practitioners, policymakers, public sector officials, private sector actors, civil society representatives, academics, and students who want to better understand how existing legal frameworks apply to emerging technologies. Throughout the course, you will explore how bias and discrimination emerge in AI systems, how transparency operates across different areas of law, and who gets to shape AI governance. The course also analyses access to justice when automated decisions cause harm and frames ethical dilemmas through EU and constitutional law perspectives, including applied challenges in healthcare AI. By the end of the course, you will understand how AI reshapes participation, accountability, and fundamental rights in contemporary legal systems.