Artificial Intelligence and legal issues
Artificial Intelligence and legal issues
Reflection on the impacts of artificial intelligence on business and human rights and freedoms. Possible risks, protection needs and future perspectives.
This MOOC was produced as part of the Edvance project – Digital Education Hub per la Cultura Digitale Avanzata. The project is funded by the European Union – Next Generation EU, Component 1, Investment 3.4 “Didattica e competenze universitarie avanzate".
Introduction to Artificial Intelligence Series
This MOOC is one of the MOOCs of the series titled “Introduction to Artificial Intelligence”, aimed at providing technical and non-technical, including historical and political, notions on artificial intelligence. The series investigates why artificial intelligence is nowadays considered the most disruptive enabling technologies up to at least 2050 and gives basic groundings for a preliminary approach to the area. It also deepens ethical issues and national strategies.
See the full seriesCourse description
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.
Total workload of the course: 8 h
This MOOC is provided by Politecnico di Milano.
Intended Learning Outcomes
By actively participating in this MOOC, you will achieve different intended learning outcomes (ILOs).
Week 1
- Recognize that the use of AI requires to be analysed, evaluated and addressed also from a legal point of view.
ESCO: emergent technologies ESCO: comply with legal regulations
Week 2
- Indicate the main legal concepts of liability for the conduct and choices made by or through intelligent systems and compensation for any consequential damage.
- Identify the practical impacts of responsibility and compensation for damages caused from AI, with specific reference to case-studies.
ESCO: ICT security legislation - Verify whether and which criminal law principles apply when an offence is committed by an AI system.
ESCO: criminal law
Week 3
- Recognize the difference between copyright and patent with respect to the protection of AI systems created.
ESCO: copyright legislation ESCO: patents - Identify legislative gaps with respect to the protection of works created autonomously by AI.
ESCO: analyse legislation
Week 4
- Recognize the risks to fundamental rights and freedoms deriving from non-regulated uses of AI.
- Identify the principal conditions for data processing and the limits set out by the law to protect privacy and human rights.
ESCO: use data processing techniques ESCO: protecting privacy and personal data
Prerequisites
No prerequisite knowledge is required.
Activities
Over and above consulting the content, in the form of videos and other web-based resources, you will have the opportunity to discuss course topics and to share ideas with your peers in the Forum of this MOOC.
Topic outline
-
-
Week 1 introduces the topic of Artificial Intelligence and the state of the art of its regulation at legislative level. The main legal issues will also be introduced.
-
Week 2 analyses the liability aspects of using and manufacturing Artificial Intelligence, focusing on the existing legal framework about civil liability both arising from contractual and non-contractual damages and eventually about criminal liability.
-
Week 3 focuses on Artificial Intelligence systems’s intellectual property aspects, both in terms of the protection of the AI system created and the protection of the work created by an AI system.
-
Week 4 focuses on the risks to fundamental rights arising from the usage of Artificial Intelligence, such as privacy, information and massive surveillance and related potentially compressed freedoms.
-
-
Video trancripts FolderNot available unless: You are a(n) Student
-
Assessment
Your final grade for the course will be based on the results of your answers to the graded quizzes. You have unlimited attempts at each quiz, but you must wait 5 minutes before you can try again. You will have successfully completed the course if you achieve 60% (or more) of the total course score. The maximum score possible for each quiz is given at the top of the quiz. You can see your score in the quiz on your last attempt or on the 'Grades' page.
Certificate of accomplishment
You must be registered in POK through Politecnico di Milano personal account to obtain the Certificate of Accomplishment. It will be released to anyone who successfully completed the course by achieving at least 60% of the total score in the graded quizzes and filling the final survey.
You will be able to download the Certificate of Accomplishment directly from Politecnico di Milano web services.
The Certificate of Accomplishment does not confer any academic credit, grade or degree.
Information about fees and access to materials
You can access the course absolutely free of charge and completely online.
Course faculty
Annamaria Italiano
Teacher
Annamaria Italiano is a lawyer and expert in IT and TLC law. She is a Senior Advisor for the Osservatori Digital Innovation of Politecnico di Milano and Partner of Partners4Innovation, an Advisory and Coaching Company, where she carries out consultancy activities to medium and large italian and international companies in relation to legal and contractual profiles related to the use and management of information systems and digitization. She carries out training and dissemination activities in the field of new technology law and is author or co-author of several publications and articles on ICT Law in specialized journals.
Contact details
If you have any enquiries about the course or if you need technical assistance please contact pok@polimi.it. For further information, see FAQ page.