Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- المدة 22 ساعات hours
- الطبع بواسطة Lund University
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Offered by
عن
About this Course This four-week course titled AI and Law explores the way in which the increasing use of artificially intelligent technologies (AI) affects the practice and administration of law defined in a broad sense. Subject matters discussed include the connection between AI and Law in the context of legal responsibility, law-making, law-enforcing, criminal law, the medical sector and intellectual property law. The course aims to equip members of the general public with an elementary ability to understand the meaningful potential of AI for their own lives. The course also aims to enable members of the general public to understand the consequences of using AI and to allow them to interact with AIs in a responsible, helpful, conscientious way. Please note that the law and content presented in this course is current as of the launch date of this course. At the end of this course, you will have a basic understanding of how to: • Understand the legal significance of the artificially intelligent software and hardware. • Understand the impact of the emergence of artificial intelligence on the application and administration of law in the public sector in connection with the enforcement of criminal law, the modelling of law and in the context of administrative law. • Understand the legal relevance of the use of artificially intelligent software in the private sector in connection with innovation and associated intellectual property rights, in the financial services sector and when predicting outcomes of legal proceedings. • Understand the importance of artificial intelligence for selected legal fields, including labour law, competition law and health law. Syllabus and Format The course consists of four modules where one module represents about one week of part-time studies. A module includes a number of lectures and readings, and finishes with an assessment – a quiz and/or a peer graded assignment. The assessments are intended to encourage learning and ensure that you understand the material of the course. Participating in forum discussions is voluntary. Modules Module 1. AI and Law Module 2. Legal AI in the Public Sector Module 3. Legal AI in the Private Sector Module 4. Selected Challenges Lund University Lund University was founded in 1666 and has for a number of years been ranked among the world’s top 100 universities. The University has 47 700 students and 7 500 staff based in Lund, Sweden. Lund University unites tradition with a modern, dynamic, and highly international profile. With eight different faculties and numerous research centers and specialized institutes, Lund is the strongest research university in Sweden and one of Scandinavia's largest institutions for education and research. The university annually attracts a large number of international students and offers a wide range of courses and programmes taught in English. The Faulty of Law is one of Lund University’s four original faculties, dating back to 1666. It is a modern faculty with an international profile, welcoming both international and Swedish students. Education, research and interaction with the surrounding community are the main focus of the Faculty’s work. The connection between the three is particularly apparent in the programmes and courses offered by the university, including the university’s MOOC course in European Business Law. The students get the chance to engross themselves in traditional legal studies, while interacting with both researchers and professionally active lawyers with qualifications and experience from various areas of law. The faculty offers three international Masters: two 2-year Master’s programmes in International Human Rights Law and European Business Law, and a 1-year Master’s in European and International Tax Law. Students from around 40 countries take part in the programmes which offer a unique subject specialization within each field, with highly qualified researchers and professional legal practitioners engaged in the teaching.الوحدات
Information about upcoming updates to the course
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- Information about upcoming updates to the course
Introduction to AI and Law
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- Introduction to AI and Law
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- Course synopsis
- Course instructions
- Course syllabus
Lecture 1: Law and AI Software
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- Law and AI Software
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- Law and AI Software
Lecture 2: Law and AI Hardware
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- Law and AI Hardware
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- Law and AI Hardware
Assessment
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- AI and Law
Introduction to Legal AI in the Public Sector
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- Introduction to Legal AI in the Public Sector
Lecture 1: AI and Legal Responsibility
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- AI and Legal Responsibility
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- AI and Legal Responsibility
Lecture 2: AI and Criminal Law
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- AI and Criminal Law
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- AI and Criminal Law
Lecture 3: Using AI to Model Law
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- Part I: The Promise of AI for Modeling Law
- Part II: Why We Model Law
- Part III: How AI can be used to Model Law
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- Using AI to Model Law
Lecture 4: AI and Administrative Law
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- AI and Administrative Law
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- AI and Administrative Law
Assessment
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- Legal AI in the Public Sector
Introduction to Legal AI in the Private Sector
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- Introduction to Legal AI in the Private Sector
Lecture 1: AI and IP Law
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- AI and IP Law
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- AI and IP Law
Lecture 2: Predicting Legal Outcomes
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- Part I: The Utility of Legal Outcome Predictions
- Part II: Textual Approaches to Predicting Legal Outcomes
- Part III: AI's use of External Data
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- Predicting Legal Outcomes
Lecture 3: AI and Financial Technology
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- Part I: Use of AI in Credit Decisions
- Part II: AI Portfolio Management
- Part III: Fraud Detection
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- AI and Financial Technology
Assessment
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- Legal AI in the Private Sector
Introduction to Selected Challenges
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- Introduction to Selected Challenges
Lecture 1: AI and Health Law
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- AI and Health Law part I
- AI and Health Law part II
- AI and Health Law part III
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- AI and Health Law
Lecture 2: AI and Labour Law
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- AI and Labour Law
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- AI and Labour Law
Lecture 3: AI and Competition Law
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- AI and Competition Law
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- AI and Competition Law
Assessment
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Assignment
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- Selected Challenges
Assessment
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PeerReview
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Peer Review
- Legal Essay
Auto Summary
Embark on a transformative learning journey with the "AI & Law" course, designed to delve into the intricate relationship between artificial intelligence and the legal domain. Over a span of four weeks, this personal development course, curated by Lund University, offers an in-depth exploration of how AI is reshaping legal responsibilities, law-making, criminal law, and intellectual property rights. This course is tailored for those eager to grasp the profound implications of AI in both public and private sectors. From understanding AI's legal significance to its impact on law enforcement, administrative law, and innovation, learners will gain a foundational comprehension of AI's role in shaping modern legal landscapes. Key legal fields such as labor, competition, and health law are also covered, providing a comprehensive overview of AI's influence across various sectors. Structured into four modules, each representing a week of part-time study, the course includes engaging lectures, insightful readings, and assessments to consolidate learning. Optional forum discussions provide an avenue for collaborative learning and exchange of ideas. Lund University, a prestigious institution renowned for its strong research and international profile, brings its rich legacy and expertise to this course. The Faculty of Law, one of Lund's original faculties, integrates traditional legal studies with cutting-edge research and practical insights from seasoned legal professionals. Ideal for members of the general public seeking to understand AI's potential and implications, this course is available through Coursera with flexible subscription options—Starter and Professional. With a commitment of 1,320 minutes, learners will emerge with the knowledge to interact with AI responsibly and conscientiously. Join us in this foundational course to navigate the evolving intersection of AI and law, and equip yourself with the skills to understand and leverage AI's transformative power in the legal realm.
Jeffery Atik
Lena Wahlberg
Valentin Jeutner
Niklas Selberg
Ulrika Andersson
Titti Mattsson
Ana Nordberg
Julian Nowag
Vilhelm Persson