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Disruptive 4.0 A Multidisciplinary Approach to Artificial Intelligence

Vrije Universiteit Amsterdam
2 weeks
Full time
Summer / Short course
Online / Distance
Amsterdam
English
06 July 2020
500 EUR

Program description

Disruptive 4.0 A Multidisciplinary Approach to Artificial Intelligence

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

Admission requirements

Who should join?

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.Our courses are multi-disciplinary and therefore are open to students with a wide variety of backgrounds.

Bachelor, Master students, PhD and professionals

Good English

For more information about admission requirements, please visit the university website.


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Program content

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.

Tuition fees

Local/EU and International/Non-EU students full tuition fees is €500

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About this institute

Vrije Universiteit Amsterdam

Welcome to Vrije Universiteit Amsterdam

Vrije Universiteit Amsterdam (‘VU Amsterdam’) is an internationally renowned research university founded in 1880. The university offers over 170 English-taught programmes at Bachelor’s, Master’s and PhD level to more than 24,000 students from all over the world. Students and staff...


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Contact info

Vrije Universiteit Amsterdam

De Boelelaan 1105
1081 HV Amsterdam
Netherlands, the

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