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The purpose of the course is to help students understand the legal implications related to the design and use of artificial intelligence systems, providing an overview of the risks and legal protections that can be envisaged and giving an overview of the legislation and legal principles currently applicable on the subject. In particular, the profiles of civil and criminal liability, protection in terms of intellectual property and the impacts of AI on the fundamental rights of the individual - including privacy and the right to non-discrimination – will be examined.

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What's inside

Syllabus

Artificial Intelligence, Law and legal issues
Artificial Intelligence and Liability
Artificial Intelligence and Intellectual Property
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Artificial Intelligence and risks to fundamental rights

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines the legal frameworks that regulate AI, which is essential for managing risks and ensuring compliance
Covers a diverse range of topics, providing a comprehensive overview of the legal implications of AI
Taught by experts in the field of AI law, ensuring that learners receive up-to-date and accurate information
Emphasizes practical applications, enabling learners to apply legal principles to real-world AI scenarios
Requires a basic understanding of legal concepts, which may pose a challenge for complete beginners
Does not provide hands-on practice or interactive exercises, which may limit the practical application of the concepts

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Artificial Intelligence and legal issues with these activities:
Organize Course Materials
Review and organize course materials to enhance understanding and retention of key concepts.
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  • Gather all course notes, slides, and assignments
  • Create a structured filing system or digital folder
  • Review and summarize key points from each lecture
  • Annotate materials with personal insights and questions
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Career center

Learners who complete Artificial Intelligence and legal issues will develop knowledge and skills that may be useful to these careers:
Artificial Intelligence Lawyer
An Artificial Intelligence Lawyer is a lawyer who focuses on the intersection of AI and the law. They currently work primarily on issues related to copyright, intellectual property rights, data privacy, and liability.
Data Scientist
A Data Scientist is a professional who uses machine learning and AI to collect and analyze large amounts of data. As AI plays an increasingly large role in all industries, the need for Data Scientists will continue to grow.
Legal Consultant
Legal Consultants advise businesses on legal issues and help them to develop and implement legal strategies. As AI becomes more commonly used in business, Legal Consultants will need to have a strong understanding of the legal implications of AI.
Privacy Analyst
Privacy Analysts are responsible for protecting the privacy of individuals. As AI becomes more widely used, Privacy Analysts will need to have a strong understanding of the privacy risks associated with AI.
Information Security Analyst
Information Security Analysts are responsible for protecting organizations from cyberattacks and data breaches. As AI becomes more widely used, Information Security Analysts will need to have a strong understanding of the security risks associated with AI.
Software Engineer
Software Engineers design, develop, and maintain software systems. As AI becomes more widely used, Software Engineers will need to have a strong understanding of AI.
Computer Scientist
Computer Scientists conduct research on the theory and implementation of computers and computer systems. As AI becomes more widely used, Computer Scientists will play a key role in developing new AI algorithms and technologies.
Data Protection Officer
Data Protection Officers are responsible for ensuring that organizations comply with data protection laws and regulations. As AI becomes more widely used, Data Protection Officers will need to have a strong understanding of the data protection risks associated with AI.
Intellectual Property Lawyer
Intellectual Property Lawyers specialize in the legal protection of intellectual property, such as patents, trademarks, and copyrights. As AI becomes more widely used, Intellectual Property Lawyers will need to have a strong understanding of the intellectual property rights associated with AI.
Patent Attorney
Patent Attorneys help their clients to obtain patents for their inventions. As AI becomes more widely used, Patent Attorneys will need to have a strong understanding of the patentability of AI inventions.
Risk Manager
Risk Managers identify, assess, and mitigate risks. As AI becomes more widely used, Risk Managers will need to have a strong understanding of the risks associated with AI.
Robotics Engineer
Robotics Engineers design, develop, and maintain robots. As AI becomes more widely used, Robotics Engineers will need to have a strong understanding of AI.
Compliance Officer
Compliance Officers ensure that organizations comply with applicable laws and regulations. As AI becomes more widely used, Compliance Officers will need to have a strong understanding of the regulatory compliance risks associated with AI.
Forensic Accountant
Forensic Accountants investigate financial crimes. As AI becomes more widely used, Forensic Accountants will need to have a strong understanding of the forensic accounting risks associated with AI.
Cybersecurity Analyst
Cybersecurity Analysts protect organizations from cyberattacks. As AI becomes more widely used, Cybersecurity Analysts will need to have a strong understanding of the cybersecurity risks associated with AI.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Artificial Intelligence and legal issues.
A practical guide to natural language processing, covering topics such as text classification, sentiment analysis, and machine translation.
A comprehensive textbook on computer vision, providing a detailed overview of the field.
A non-technical introduction to artificial intelligence, providing a broad overview of the field.

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