Shaping the future of work

At the Applied AI in Services Lab of the Digital Service Innovation Research Group (Prof. Dr. Gerhard Satzger) of the Karlsruhe Service Research Institute (KSRI) and Institute of Information Systems and Marketing (IISM) of the Karlsruhe Institute of Technology (KIT) the following opportunity is to be filled immediately:

Bachelor Thesis: Shaping the future of work

player like IBM , McKinsey, Deloitte, and many more envision the future as a synergy of human and AI. Therefore, future decision makers need to question themselves how to design systems for human-machine collaboration (HMC). HMC might be affected by phenomena such as distrust or automation bias. Distrust leads to a reduced exploitation of potential synergies between human and AI. In contrast, automation bias is the tendency to over rely on automation. To enable synergy effects between human and AI, humans need to calibrate their trust with regards to the systems reliability. Emerging topics like explainable AI (XAI) and trustful AI propose solutions to these issues.

Research Goal

The goal of this thesis is to get a holistic overview of the current state-of-the-art in human-machine collaboration. You will conduct a rigorous literature review and dive deep into topics such as XAI and Intelligent Automation. Optional, the literature review can be complemented by applying machine learning techniques such as topic modelling. In detail, you will

• gain a comprehensive understanding of human-machine collaboration • become an expert in XAI
• conceptualize a taxonomy for human-machine collaboration and XAI

This thesis offers the opportunity of writing a scientific publication in form of a conference paper.

We look forward to receiving your application because you...

• are interested in emerging topic in AI like XAI and Intelligent Automation
• work in an independent and accurate way


• Start: immediately
• Duration: 6 Month
• Thesis should be written in English or German

We offer you a challenging research topic, close supervision, and the opportunity to become an expert in emerging topics of AI. If you are interested, please send your CV, Transcript of Records, and a brief letter of motivation to max.schemmer∂kit.edu and patrick.hemmer∂kit.edu.