On 04.08.2022 at 11:00 a.m., the 13th lecture of the Living Lab lecture series took place. In this talk, Prof. Dr. Thomas Villmann talked about Interpretable AI for Classification Learning – Towards Model Trustworthiness and Plausibility.

Interpretable and Robust Classification Learning by Learning Vector Quanteizers

After the overwhelming success of deep networks the need for smart classification models is increasingly providing an alternative in cases with hardware constraints. Further, interpretability is frequently demanded and leads to a better acceptance of machine learning tools. Additionally, guarantees for robustness should provide classification certainty and model confidence.

In this talk, we reflected current developments of the learning vector quantization model, which was originally introduced by T. Kohonen in the 80s of the last century but mathematically justified and significantly extended during the last years. Surprisingly, these classifier models are highly flexible and adjustable for various classification tasks while providing interpretability, robustness as well as being smart models with low computational requirements. Prof. Dr. Thomas Villmann presented the most important developments and theoretical results, which ensure the required robustness, certainty and flexibility while keeping the interpretability. Selected application cases illustrated the abilities of the models.

Missed this Living Lab lecture on Interpretable AI for Classification Learning? You can rewatch it on YouTube.

Living Lab Lecture Series

The Living Lab Lecture Series gives you an in-depth insight into the many research topics of ScaDS.AI Dresden/Leipzig. From Natural Language Processing to Ethics and Moral Code in AI, a great variety of topics are discussed. You can join our lectures every first thursday of the month or watch them on YouTube afterwards. If you have ideas for topics to discuss in the future, please let our Living Lab team know. We suggest for you to regularly check our event calendar, to never miss out on upcoming lectures or other interesting events organized by or in cooperation with our center.

FAQ

How can I participate in the lecture?

You can reach the permanent room for all lectures here: https://tud.link/i8zf

When will the room become accessible to the audience?

The room will be accessible 5 minutes before the start of the lecture.

Who can participate in the Living Lab activities?

The participation is free for everyone.

Do I need to be familiar with topics such as Big Data and AI to benefit from the lectures?

No! Not at all. One of our goals in the Living Lab lecture series is to familiarize everyone with these topics.

Is there any technical requirements to participate in the lecture?

You just need an up-to-date browser such as Firefox, Google Chrome or Chromium. We would also recommend using headphones for better audio quality.

Should I also turn on my camera/microphone during the lecture?

Not unless you would like to! In general, there is no need to have a camera or microphone to participate in the lecture.

In that case, how can I ask a question and provide feedback?

Alongside joining the discussion with your camera and microphone, there is also the possibility to submit your question and comments as a written comment in the Chat section.

How can I easily get informed about future activities of the Living Lab?

• • Follow us on X: @Sca_DS

• • Follow us on LinkedIn: ScaDS.AI Dresden/Leipzig

• • Subscribe to our YouTube channel: https://www.youtube.com/channel/UCv7EDPwovn6T1iaMbhlpFjg

• • Subscribe to our mailing list: https://mailman.zih.tu-dresden.de/groups/listinfo/livinglab

Can I participate with my smartphone?