Disruptive 4.0 A Multidisciplinary Approach of Artificial Intelligence

The 4th industrial revolution has arrived. Artificial Intelligence (AI) is now a reality and is playing an increasingly important role in our daily lives, showing no signs of slowing down. However, as with any progression in civilisation, the rise of AI raises some important questions. One such question is how it will change if/when it becomes fully autonomous. The current debates revolve around a series of key issues, namely the ethics, the implications at a sociological and economic level and on how to properly translate the technical feature of AI into legislation.

Session 2
18 July to 1 August 2020
Course levelAdvanced Bachelor/Master, open to PhD staff and professionals
Co-ordinating lecturers         
Prof. Mr. Arno Lodder, Ioana Bratu, Tina van der Linden
Other lecturersAndrew Lin, Hoyng Rokh, International IP lawyer at Monegier Law Firm
Merel Keijzer, Researcher at Utrecht University and Professional Support Lawyer at law firm CLINT | Littler
Redouane Boumghar, Research Contributor at Libre Foundation
Evgeni Aizenberg, Post Doc Researcher at TU Delft
Maria Luce Lupetti, Post Doc Researcher at TU Delft
Shu-Chien Chien, Researcher at Erasmus University Rotterdam
Forms of tuitionLectures, excursions, discussions, group work
Forms of assessmentGroup presentation and short paper
Credits3 ECTS
Contact hours45 hours
Tuition fee€1150, read more about what's included
Accommodation and social programme
How to apply
Find our application form here
This course is for Advanced Bachelor’s, Master’s and PhD students as well as professionals with various disciplinary backgrounds such as law, economics, business administration, sociology, and computer science. If you have doubts about your eligibility for the course, please let us know. Our courses are multi-disciplinary and therefore are open to students with a wide variety of backgrounds.
As a teaching methodology, this course is a novel concept in the field of AI studies, offering a unique holistic understanding of emerging technologies. The course introduces the new concept of “TELS” related to the study of AI, meaning that for a deep understanding of AI, a multidisciplinary approach is required, combining technology (computer science), economics, law and sociology. 

Through the course, you will learn how to differentiate between simple automation systems, machine learning, deep learning and narrow or general AI. You will also come across international AI strategies employed by several countries and international bodies (such as the European Union, China, South Korea, US, Germany, or UK).

You will also become familiar with international AI regulatory debates, which include topics such as the following:
- Are new regulations necessary for AI or is it possible to extend the application of existing legal concepts and protocol?
- In the case of damages caused by the actions of an AI robot, are traditional legal mechanisms regulating civil liability still reliable? Do the existing laws account for the unpredictable behavior of AI?

Moreover, with this course, you will have the chance to discuss the moral and ethical dilemmas presented by AI and to acknowledge the social impacts of using it, for example:
- What are some potential issues associated with the use of facial recognition?
- Should we use AI to benefit society and community or solely for increasing profits?
- Do AI robots explicitly built for war require the same level of human control?
- Should we allow AI to take on social responsibilities and be our caregivers?

At the same time, you will also understand how AI is changing the future of our jobs. The course includes a session focussed on AI’s role in business management, through which you can learn valuable entrepreneurial skills.

Along with the potential real-world applications of AI, you will also familiarize yourself with the concept of “demystifying” AI. As such, you will evaluate the real limitations and downsides along with the benefits of AI.

In order to accomplish the course goals, a variety of industry professionals and researchers will provide up to date strategic insights. The course materials are highly revered publications in the form of academic research papers. Famous cases (such as the Uber case, the first reported fatal crash involving a self-driving vehicle and a pedestrian in the US) will also be discussed and interpreted in class.
The course will include 1 day excursion at a company or institution where AI technologies are deployed.  A number of guest lectures (international industry professionals and academics) will also attend the course.

Arno R. Lodder
is a professor of Internet Governance and Regulation at Vrije Universiteit Amsterdam, Centre for Law and Internet. He also acts as Of Counsel at SOLV lawyers, a reputed ICT law firm in the Netherlands, and he is a member of AMSEC, the Amsterdam Cyber Security Center, that brings together experts from a variety of disciplines to study all aspects of cyber security.
In his research and lecturing he focuses on topics related to law and internet, such as liability, contracting, security, privacy, freedom of speech, cybercrime; and phenomena related to big data, social media, cyberwar, internet of things, smart devices and apps.

Ioana Bratu is a Ph.D. candidate at the Centre for Law and Internet at Vrije Universiteit Amsterdam. She has previously worked as a corporate lawyer for international law firms and as an entrepreneur, being founder of her boutique law firm. She holds an Executive MBA degree from Vienna University of Economics and Business. Ioana's research interests encompass liability of artificial intelligence and the connection between artificial intelligence and the UN Sustainable Development Goals, specifically, how artificial intelligence can ensure community well-being. She has a particular interest in how artificial intelligence can increase the quality of life for individuals affected by mental health disorders.

Tina van der Linden
is an assistant professor in Law, Ethics and Technology at Vrije Universiteit Amsterdam, Centre for Law and Internet. She now teaches courses on Robot, AI and Law, and on the legal challenges of the use of Blockchain technology. She has been involved in the field of IT law ever since the mid-eighties of the previous century. She successfully defended her PhD on the theoretical assumptions underlying legal expert systems in 1994. In her lectures and research she covers a broad range of topics in Technology Law, including, among others, data protection, privacy, freedom of expression, e-commerce, cybercrime, the position of intermediaries in internet communication, algorithmic decision making, self driving cars, care robots and sex robots. She has been and is involved in the supervision of various PhD students.

Do you want to make the most out of your summer? You can combine this course with the following courses in session 1: