ZHAW researchers win Best Paper Award at the Swiss Conference on Data Science SDS 2024
The Swiss Conference on Data Science (SDS) is Switzerland’s premier event for Applied Data Science. It brings together leaders, scientists and business experts. This year’s conference focused on open AI models, data visualisations and more. ZHAW researchers won the best scientific full paper prize with their work on certification of AI systems and the ZHAW Datalab was the scientific partner of the conference.
![Award ceremony for the best full paper at the SDS 2024.](/storage/_processed_/7/f/csm_Konferenz_Award_Ceremony_all_winner_with_ZHAW_2024-06-21_11_56_32_19ee86ec18.webp)
The Best Scientific full Paper prize was awarded to ZHAW researchers for their paper “Towards the Certification of AI-based Systems”. Two of the authors, Philipp Denzel and Stefan Brunner presented in a talk their ongoing effort to develop a validated AI certification scheme. The certification scheme is a framework for assessing the trustworthiness of AI systems. It combines legal requirements and validated techniques for assessing the compliance of AI systems together. The result is the implementation of a workflow to support AI certification.
“My highlights at the conference were definitely the surprise of the best paper award for me and my co-authors,” says Philipp Denzel after the conference. But there were also other talks, that left an impression on Denzel, such as Thomas Brunschwiler’s talk on AI for mitigating the risks of climate change, or Lukas Tuggener’s talk on efficient GPTs for private Large Language Models (LLMs). “One talk emphasises that AI can really be a research tool to do good - which is becoming more and more urgent now, especially when it comes to the climate; the other talk emphasizes how much research has been done to enable AI for private use. Both are arguments that we are not necessarily in competition with the big companies like Google, Meta, or Microsoft. But above all, the most important thing was the exciting discussions during the breaks with like-minded people I met for the first time and with old friends I met again,” says Denzel.
Next to Denzel, Brunner and Tuggener, many other ZHAW researchers participated in the 11th IEEE SDS with presentations and workshops on various current data science topics. For instance, the talk by Mark Cieliebak from the Center of Artificial Intelligence focused on the reliable evaluation of Large Language Models (LLMs). In the workshops, ZHAW expert Jürg Meierhofer showed how business can be elevated through social values. Ricardo Chavarriaga and Christoph Heitz on the other hand demonstrated the implementation of standards towards a responsible AI. Other talks by ZHAW experts focused on group fairness (Christoph Heitz) or anomaly detection (Lilach Goren Huber). A summary of some of the talks can be found in this blog.
As the official scientific partner, the ZHAW Datalab was also present with a booth, making its commitment to the conference visible to the outside world: “For years, the ZHAW Datalab has been heavily involved behind the scenes in expanding the scientific appeal of the conference, for example through cooperation with the IEEE or involvement in the scientific board that puts together the scientific programme,” says Thilo Stadelmann, founding member of the Datalab.
More information:
- Blog about the SDS2024
- Paper “Towards the Certification of AI-based Systems” by Philipp Denzel, Stefan Brunner, Yann Billeter, Oliver Forster, Carmen Mei-Ling Frischknecht-Gruber, Monika Reif, Frank-Peter Schilling, Amin Amini, Marco Repetto, Arman Iranfar, Joanna Weng, and Ricardo Chavarriaga.
What is the ZHAW Datalab?
The Datalab was founded in 2013 as one of the first Data Science labs in Europe. It currently comprises 12 institutes and centers from 4 different departments (School of Engineering, Life Sciences and Facility Management, School of Management and Law and Applied Linguistics). The members have a background in research and teaching, established a network of data scientists and have connections to partners from industry.
The research agenda covers areas such as database and big data technology, data mining, statistics and predictive modelling, machine learning, privacy, security and ethics and much more.
Datalab - The ZHAW Data Science Laboratory