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Smart Design and Construction (SDaC)

SDaC is an intelligent platform that forms the basis for artificial intelligence (AI) applications in planning and production processes in the construction industry.

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Teaserbox background FACCT
Paper Presentation at ACM FAccT ’22

“There is not enough information”: On the effects of explanations on perceptions of informational fairness and trustworthiness in automated decision-making

link to the paper
Teaserbox background ECAI
Paper Presentation at IJCAI-ECAI 2022

"Forming Effective Human-AI-Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts"

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ABOUT THE LAB

With the rise of (smart) service systems, there are increasingly opportunities for collaboration and new ways of co-creating value. Every action in a service system produces data that can be a valuable source of information to trigger value co-creation. Although the analysis of this data is crucial for its economic success, fully exploiting its potential still remains one of the challenges for smart service systems. In our lab, we analyze and improve such situations where relevant data sources and analytical knowledge are typically controlled by different entities—but not distributed or shared among them.

RESEARCH TOPICS

We are interested in the utilization of machine learning and artificial intelligence for the development of innovative services. We follow the complete lifecycle of AI from business problem to deployment, e.g. in the industrial sector. By actually designing and implementing AI-based services, we uncover new theoretical and practical knowledge.

Current topics include:

  • AI in Service Systems

    • Meta machine learning

    • Transfer machine learning

    • System-oriented service delivery
       

  • AI for Industrial Services / Smart Services

    • Predictive Maintenance Cyber-physical Systems

    • Human-machine collaboration in services

    • AI-based industrial services

    • Validity of predictive services

LAB LEAD & CONTACT

  name institute e-mail
Prof. Dr. Gerhard Satzger (Owner) IISM-DSI gerhard satzger∂kit edu
Dr.-Ing. Niklas Kühl (Lab Lead) IISM-DSI kuehl∂kit edu
Dr. Michael Vössing (Lab Lead) IISM-DSI michael voessing∂kit edu