Elisabeth Lex

 Dr. Elisabeth Lex

As part of our ongoing AI In your Community series, I sat down with Dr. Elisabeth Lex, Assistant Professor at Graz University of Technology and head of Social Computing at Know-Center.

Tara Chklovski:  What problem or area of research are you working on?

Elisabeth Lex:  I’m a computer scientist working on many problems! One project that we are working on is to improve recommender systems. We use models that mimic how humans behave on tasks to then design algorithms that are more effective and personalized than the state-of-the-art is! This is a field of research that I like very much because it’s very interdisciplinary.

Another project I’m working on is to look at patterns of collaboration in networks to identify which factors enhance or impede collaboration. We are also studying the effect of social status on how opinions spread over a network.

Also! One of my research topics is open science. We want to open up the scientific process, the ivory tower of academia so all people can benefit from scientific research — not just the researchers through their publications.

TC:  How are you doing that?

EL:  We are diving into European policy-making! I was involved in several initiatives in the European Commission and we have published certain documents and policies on how, for instance, scientific outreach can be measured using social media activities. We have also developed a tool box on how you could disseminate your research to the general public. We looked at successful examples like, the Pluto fly-by that happened a while ago and was in the media everywhere and everyone knew about it. This was a great example of how to involve people in the fruits of the scientific research, who are actually also paying for it.

Finally everything that we develop is open-source. We’re trying to use publicly available data sets as far as possible so that everyone can take our stuff and build upon that.

TC: So what advice would you give children and parents to become more involved in understanding and using technology to improve their communities and their own environments?

EL:  Think of something that really annoys you! For instance, a few years ago when I was in Austria, the government released an open data set on Vienna, and the first application that people built was an app to find public restrooms! It sounds like such a simple problem, but apparently it was a problem. So, my first advice is to think about something that you have had trouble with in your daily life for a long time, and maybe you don’t know if there is a solution to the problem — it can be a starting point. The next step is to connect with others to see what their viewpoints are on that to further refine the idea.

TC: What do you think makes a good product?

EL:  A good product is one where the users are involved in designing the product. Roll out your prototype to your target community, let them work with it for a certain amount of time and get their feedback. Then you really stick with them, working closely with them thinking about how to improve it – not just monitoring clicks!

TC: What inspires you?

EL: Talking to interesting people. For instance, it is an inspiration to talk to you because yours is a completely different viewpoint than mine!

Also, going to different places and learning about different cultures is very inspiring to me. Currently I’m doing research in Germany and I’m also learning a little about German culture. I also read a lot of biographies. I am reading about Elon Musk right now. It is inspiring to see how other people live their lives. I also recently read the biography of Chris Hadfield, the Canadian astronaut who was the commander of the space station.

TC:  I love that book! It is such an amazing story of a childhood dream that impossibly comes true. He is a little kid on a farm makes up his mind to be an astronaut, works towards it and becomes one!  What do you find difficult?

EL:  I find many things difficult! In terms of AI, I am troubled that a lot of the efforts out there are optimized for more clicks and views. I’m not interested in just large reach, as this also has harmful consequences. For instance, I am very troubled about the issue with YouTube children videos. There is a lot of malicious content now that is being injected into children’s YouTube videos. You could see Peppa Pig, or another children’s character killing another character. The hypothesis is that because children’s videos get many clicks, so they make a good vehicle to carry your message to many people. It’s not completely clear who is doing this and why. But this is stuff that troubles me. What is also difficult with this kind of technology is to figure out how to detect and stop it.

TC:  Right. This is the age-old battle between tools being used for good and bad purposes!

EL: Also, what I find difficult is that my goal through my research is to help people, which is sometimes in opposition to what companies want — to become richer. Both groups don’t always want the same thing. When I build a decision‑making system for people I want to give them access to the best content, which may not be the most popular content!

TC:  How do you think AI can help strengthen societies and communities?

EL:  To a certain extent, it already does that because it lets us connect even though we’re in completely different countries at different time zones, and we have never met before! I’m pretty sure that AI will create a lot of new opportunities, new jobs and new tools that we won’t even be able to predict. My real hope is that AI allows humans to shift their focus to more interesting stuff, by automating many of the repetitive tasks. It will allow us to do something completely out‑of‑the‑box!

TC: What field of AI excites you the most?

EL:  This is so hard to say! I really like the idea of autonomous cars. And then the use of AI in health care is also very exciting — in diagnosis, but also in training doctors. I was visiting a colleague last week and he showed me an augmented reality model of the brain that you can rotate and observe how it really works without cutting somebody open.

I’m also curious about the field of robotics. Many people are scared about “care robots,” but I’m more curious about how our interaction with these robots will be.

In the field of learning, there’s a lot of potential to better target students based on their needs in order to predict what kind of support and training they need.

I think chatbots are kind of interesting. There are chatbot tutoring applications right now, but more interesting ones could be chatbot therapists! Some people may not want to talk to a person about their problems, but they may talk to a chatbot!

TC:  So, last question: how do you think children can learn more about AI?

EL:  I think this is tricky because it’s not enough to just buy a robot or intelligent toy; although it is worth it. You need to teach your kids to be creative and curious and to ask the right questions, but I think it’s also good to show them how AI works in real examples. Show them what happens when they click on a Netflix video and what implication that has.

And at the same time, I think the parents need to learn as well! Because the world is changing — and it is exciting to be part of it!