Artificial Intelligence

Artificial Intelligence

DTU Winter Academy

DTU Winter Academy

Essentials for Leaders of the Future
What is the societal potential and limitations of AI?

Dates: 28 – 29 January 2019

Price: DKK 9.800 excl. VAT

Intended Audience
Professionals with a general interest in AI who want a better understanding of the fundamentals of the field in order to make informed, strategic decisions about deploying AI in their businesses.

Module Description
Artificial Intelligence (AI) is the science and engineering of making intelligent machines, in particular intelligent computer programs.” – John McCarthy
This definition of artificial intelligence by John McCarthy, the father of AI, is still valid today, 60 years after it was formulated. Nevertheless, the area is much harder to define and delimit than most other areas of science and engineering, since intelligence is many different things, e.g. social, linguistic or emotional intelligence, and at very different levels. Correspondingly, AI is many very distinct techniques to mimic different aspects of human intelligence (perceiving, reasoning, planning, communicating, learning, etc) and at very different levels. This makes it difficult to navigate the area of AI and understand exactly what it can and cannot do.

AI has the potential of transforming our lives, society and businesses in a much more fundamental way than any other technology. In some cases, AI systems are based on a very direct attempt to simulate the fundamental neurological processes of the human brain. In other cases, they are based on more abstract models of human reasoning and problem solving. However, it is important to understand that there still is – and probably always will be – fundamental differences between human and machine intelligence. These fundamental differences are essential to grasp in order to understand where AI techniques can successfully be employed, what kind of human tasks can be replaced or enhanced by the use of AI, and how AI is going to affect the future job market.

The course will address both the benefits and the potential negative consequences, including discussions of the legal, ethical and philosophical aspects of AI. Given a task currently solved by humans in your own area of work, we will analyse which methods of AI could potentially solve this task, if any, and to which extent.


Here are some of the questions this module will explore:

  • What is the societal potential of AI as well as its limitations?
  • Which are the contemporary technical, legal, ethical and economical applications of AI?
  • What is the current and expected future impact of AI on different domains like transport, healthcare, education, entertainment?
  • What is the meaning of, and differences between, concepts used to describe AI, including deep learning, machine learning, big data, cognitive computing, and artificial general intelligence?
  • Which are the main paradigms and prevalent methods of AI, as well as their respective strengths and weaknesses?
  • Which are the main characteristic differences between human and machine intelligence, and the potential in human-machine collaboration?

The module will address the stated questions and provide some insights to inspire you to start experimenting.


Andrés Occhipinti LibermanAndrés Occhipinti Liberman is working towards his PhD in AI at DTU’s department of Applied Mathematics and Computer Science. His work focuses on developing algorithms to give AI agents (robots, machines, etc.) the ability to learn action models. Action model learning is a task in artificial intelligence that involves learning how an action works on the basis of examples or observations of previous executions. Andrés also enjoys teaching and is involved in lecturing the following bachelor’s and master’s level courses at DTU: Discrete Mathematics, Logical Theories of Uncertainty and Learning and AI and Multi-Agent Systems.

DTU Compute

Practical Info

Incl. teaching material and lunch 

DKK 9.800 excl. VAT

28 – 29 January 2019

8:30 - 16:30, both days


DTU Business
Building 421
2800 Kgs. Lyngby

Jens Nedergaard
Please contact
Business Developer
Jens Nedergaard
(+45) 3162 1315
13 DECEMBER 2018