Continuing Education: Artificial Intelligence

About the course:
Artificial Intelligence (AI) is the science and engineering of making intelligent machines, in particular intelligent computer programs.

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.

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

This course provides insight into:
•In depth knowledge about contemporary applications of AI from technical, legal, ethical and economical perspectives
•The main paradigms of AI and explain their respective strengths and weaknesses
•The most prevalent methods in current AI and their respective application areas, strengths and weaknesses
•Which methods of AI could potentially solve a given human task
•Main trade-offs in designing AI systems in terms of generality vs. scalability, flexibility/learnability vs. predictability/explainability, etc.
•Impact of increase in available data and computing power on AI
•characteristic differences between human and machine intelligence, and the potential in human-machine collaboration

Course content:
Half of the course will be dedicated to technical aspects of AI, introducing the main paradigms, methods and application areas. The other half will be discussions of legal, societal, economical, ethical, and philosophical aspects.

Subscribe here.

Time

Tue 12 Nov 19 9:00 -
Wed 13 Nov 19 17:00

Organizer

DTU Compute

Where

DTU, Anker Engelunds Vej 1, Building 101A, meeting center 101, Kgs. Lyngby