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Artificial Intelligence And Law
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Artificial Intelligence and Law address the development of formal or computational models of legal knowledge, reasoning, and decision making. It also includes in-depth studies of innovative artificial intelligence systems that are being used in the legal domain and gives space to studies addressing the legal, ethical and social implications of the use of artificial intelligence in law.
It welcomes interdisciplinary approaches including not only artificial intelligence and jurisprudence, but also logic, machine learning, cognitive psychology, linguistics, or philosophy.
In addition to original research contributions, this journal welcomes book reviews as well as research notes posing interesting and timely research challenges.
Contains information on theoretical or empirical studies in AI, cognitive psychology, jurisprudence, linguistics, or philosophy
Addresses the development of formal or computational models of legal knowledge, reasoning, and decision making
Includes in-depth studies of innovative artificial intelligence systems that are being used in the legal domain
Features studies that address the ethical and social implications of the field
At the end of this course, you will have a basic understanding of how to: • Understand the legal significance of 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 modeling 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 labor 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.
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