Responsible AI: Projects & Talks

Algorithms in decision making

Softwarecampus, Merk

Artificial intelligence (AI) favors the optimization of HR processes and changes human resource management. This raises new questions for companies regarding the design of AI-based work systems and technology acceptance. The aim of the project is to analyze the potential of AI in HR and to investigate which measures ensure successful human-technology interaction. In particular, the project deals with AI-based recommendations in HR and their consequences. The focus is on the question of how the acceptance of AI-based recommendations can be sustainably increased.

Lecture

In his lecture “Decisions under time pressure: Is AI the solution”, Prof. Laumer will discuss the success factors of artificial intelligence in decisions under time pressure. The lecture embeds scientific findings in the soccer context and shows how technologies, algorithms and artificial intelligence can support soccer referees in their decision-making during a soccer match. Referees have to make numerous decisions for 90 minutes under enormous stress conditions. Therefore, decisions made by referees are a good example of how AI can support decisions under time pressure. For example, at the 2022 World Cup, automated offside position detection was used for the first time to strengthen referees’ decision-making with additional information. In his lecture, Prof. Laumer thus combines his passion for soccer and digital technologies by showing how artificial intelligence influences our lives and in particular the way we make decisions.

AI Fairness and Accountability

Research Project Softwarecampus

Project title: “Realization of Ethically Responsible Information Systems for Strategic Decision Making (REVISE)”.When companies or other institutions use data-driven artificial intelligence methods to make or inform strategic decisions, the question arises as to what ethical requirements should be placed on the information systems in question and how these can be realized technically. The aim of this project is to develop and evaluate, in collaboration with Merck, concepts and procedures that support decision makers in anticipating the ethical implications of using such systems and ensuring their responsible use.

AI Governance and Ecosystems

Research project: Siemens Digital Industries – Factory Automation

The research project with Siemens Digital Industries – Factory Automation (Siemens DI FA) addresses the adoption, implementation and use as well as the associated challenges and potentials of artificial intelligence for companies in industrial environments. From a business and technical perspective, we focus on the requirements, framework conditions and feasibility of AI-based systems and the associated necessary resources and capabilities for companies, both internally and across companies.