How to (ab)use Data Science?
Session Chair
Anja Zernig, Data Scientist, KAI GmbH (Villach, Austria)
Speakers
Daniela Ströckl, Professor of software engineering and health informatics, Carinthia University of Applied Sciences (Villach, Austria)
How catchy can fake news be? Eye tracking as an indication of user preference and perceived believability
In times of social media and countless digital offerings on the fast-moving World Wide Web, it is all the more important to understand what keeps potential users on a page and whether they think the content provided is credible. Trends and information go viral, often regardless of whether they are true or not – the important thing is that you keep people glued to their smartphones or laptops and that they think the content might be true. One parameter to find this out is the perceived credibility/believability, which can be recorded with the support of eye tracking paired with a simple questionnaire. But eye tracking can do even more: combined with artificial intelligence, it is possible to make simple predictions about people and their subject preferences. Thanks to advancing technologies, you don’t always need expensive devices for this, simple webcams are sometimes sufficient.
Come with me on a thought experiment: if we were able to combine predictable believability with the knowledge of topic preferences in times of fake news – what possibilities would this offer us? How might this influence our thinking about our health and the health of the planet?
Debora Stickler, Lecturer, University of Applied Sciences JOANNEUM (Graz, Austria)
Perspective is everything: a deeper look into skewed results
The introduction of bias begins with how the data is collected and ends in the visualization of the results – there are countless examples of skewed results in real life Data Science applications. We will discuss how these mistakes were made, how you can spot and avoid them. Take for example the claim that Tennis is the healthiest sport, is this true or was this idea introduced from biased data? We will take a closer look at very well-known perception phenomena in psychology and discuss them in context of Data Science.
Simone Scholz, Analytics & AI Enthusiast, MINTchanger:in, A1 Telekom (Vienna, Austria)
Fair AI @ A1
Insights into how a small task force at A1 started the topic of “Fair AI” in fall 2022. What important discussions were necessary on the way there and what their broad implementation in the operational business looks like today.