The inaugural
“Artificial Intelligence (AI) – Opportunities for Schleswig-Holstein” network meeting was held at Kiel University of Applied Sciences on 31 May 2018. It was organised by
Open Campus, the
State Chancellery of Schleswig-Holstein, the
Schleswig-Holstein Digital Economy cluster (DiWiSH) and
Kiel University of Applied Sciences.
The event provided the first major platform for artificial intelligence in Schleswig-Holstein. Around 200 guests listened to some 50 short presentations lasting no more than four minutes. Live polls with
Sli.do at the start and end of the event engaged the entire audience. Welcoming remarks from Minister-President Daniel Günther and from Dirk Schrödter, Head of the State Chancellery, illustrated the importance that politicians in Schleswig-Holstein attach to the issue.
You'll see here the winners of the public votes for the most interesting topics. You'll be able to experience them one again at #Waterkant18:
Prof. Dr. Maciej Liśkiewicz // Universität zu Lübeck
Algorithmic analysis of causal effects
Discovering and understanding of causal relationships is an important topic of empirical sciences. Analyzing causes of diseases, economic crises and other complex phenomena is of great social and economic importance. However, for ethical or economic reasons questions as “Does smoking cause lung cancer?” or “What are the major causes of economic crises?” can be difficult to examine through direct experimentation. On the other hand, there are often available large amounts of observed data that can provide relevant information about these issues.
Michael Martens // fairlanguage.com
Unfair AI - Let’s talk about bias and other nasty stuff machines learn from us.
We live in a world of machines. Machines, that learn. Call it Artificial Intelligence (AI), Machine Learning (ML), smart machines.. These technologies are almost everywhere by now and have huge influence on our lives. Often "smart” technologies are a great support to us, make our lives easier, safer, faster and more convenient. But! There is a problem! Machines are build by us and learn from us. And they also learn the bad, nasty stuff. Bias, stereotypes, discrimination. In this entertaining and non-tech-people-friendly talk we will share some problems and examples and give simple advice on how to do better.
Prof. Hermann Kohlstedt // Christian-Albrechts-Universität Kiel
-Back to the Roots- How analogue Industry 5.0 will be?It is believed, that the upcoming digital revolution, characterized by buzzer words such as “Industry 4.0” or “Internet of Things (IoT)”, will lead to an entire upheaval of today´s manufacturing and selling procedure accompanied by, for example, desert factories. Will this development be an endless story? Not likely – there are fundamental limits set by nature. Any bit (0,1) we write, store or transmit needs energy. Information and energy (consumption) are inseparably linked. Therefore, it`s time to have a closer look at bio-inspired information pathways. Nerve systems, such as the human brain, are a result of evolution and outperform any digital computer when it comes to pattern recognition or cognitive tasks. It particularly shines when power consumption it taken into account – could we use such mechanisms to build more efficient computing systems?
Moderated by Jörg Nickel, Staatskanzlei Schleswig-Holstein
