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Artificial Intelligence
Artificial Intelligence
 Informatics and mathematics
Course content
 “Artificial Intelligence (AI) is the science and engineering of making intelligent machines, in particular intelligent computer programs.” This definition of artificial intelligence by John McCarthy, the father of the area, 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, and at very different levels. This makes it difficult to navigate in the area of AI and understand exactly what it can and cannot do. One of the goals of the course is to clarify the different paradigms, methods and subareas of AI, to provide a clear picture of what AI is, to make it easier to understand the current developments in the area, and to understand the possibilities and limitations of AI methods in general.

AI is about mimicking the most essential abilities of humans, our cognitive abilities: perceiving, reasoning, planning, communicating, learning, etc. Hence AI has the potential of transforming our lives, society and businesses in a much more fundamental way than any other technology. Underlying and unifying the different methods in AI is usually the goal of making machines do what hitherto only humans have been able to, e.g. play chess, recognise faces, engage in a dialogue, drive a car or do medical diagnosis. The main source of inspiration for building AI systems that can solve these problems is human problem-solving. 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 succesfully 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 marked. These aspects will all be thoroughly covered in the course. The World Economic Forum Global Risks report of 2017 deem “artificial intelligence and robotics” to have both the highest potential benefits and the highest potential negative consequences among all emerging technological areas.

The course will address both the benefits and the potential negative consequences, including discussions of the legal, ethical and philosophical aspects of AI.

The course will be held by DTU faculty who are active researchers in the area of AI. The format is lectures, group discussions and group exercises. The course is concluded by a written take-home assignment which consistutes the assessment in the course.
Participant profile
 The target audience is participants who would like to get a better overall understanding of artificial intelligence, both from a technical perspective and concerning its legal, societal, ethical and philosophical aspects. This includes, but is not limited to, industry executives, public decision makers and engineers working with IT. It is targeted anyone who is not currently an expert in AI, but who works in an area where AI plays – or is expected to come to play – a role.
 The course will introduce the main AI techniques, their applications, strengths and weaknesses, but no existing expertise in AI is required.
Price (excl. VAT) EUR 1,333

06-09-2022 09:00 - 07-09-2022 16:00
DTU Mødecenter
Anker Engelunds Vej 1, Bygn 101A
2800  Kgs. Lyngby

Thomas Bolandertobo@dtu.dk45 25 37 15DTU Compute
Contact person
 Thomas Bolander  -  tobo@dtu.dk  -  45253715
Anker Engelunds vej 1101 A2800 Kgs. Lyngby  DenmarkPhone +45 45254525EAN-no. 5798000430839