AI@School - Research-Based AI Literacy in Schools

Researchers:

Mohnen, Alwine; Toporova, Nevena

Outline:

AI@School is a structural knowledge-transfer initiative designed to bring current, research-based AI knowledge into schools. TUM students spend one month working directly with AI experts from research and industry, one month translating their findings into didactically sound workshop formats, and one month delivering these workshops in schools. The rolling three-month cycle ensures that knowledge is continuously updated. In planned summer schools at TUM, students become researchers themselves: together with TUM students, they conduct their own experiments on how AI affects motivation, creativity, learning, and feedback. AI School Design translates these findings into recommendations for educational institutions on how AI education must be structured to foster critical competence and ensure educational equity.

AI@Work - Artificial Intelligence in the Workplace

Researchers:

Mohnen, Alwine; Toporova, Nevena

Outline:

This project investigates how the use of artificial intelligence affects six core dimensions of work: critical thinking, motivation and commitment, stress experience, feedback culture, moral behavior, and willingness to learn. Using laboratory and online experiments, biomarker assessments, and field studies, the project systematically compares individual and organizational outcomes of working with versus without AI. Building on these findings, AI Work Design derives concrete recommendations for organizations on how AI must be implemented to realize its benefits at scale while retaining top talent.

AI@Work - Generative AI Adoption Across Occupations

Researchers:

Beck, Philipp; Burger, Anna; Mohnen Alwine

Outline:

Generative AI is disrupting work across occupations. This project investigates how occupational job characteristics, particularly job demands and job resources, shape the adoption and effective use of GenAI at work. It analyzes why some occupations adopt GenAI more extensively than others and how these job characteristics influence whether GenAI is used primarily for directive task completion or for iterative, learning-oriented interaction. By linking occupational characteristics to GenAI usage patterns, we contribute to a better understanding of where GenAI currently creates value, where barriers to meaningful use arise, and how work design can support effective and equitable AI adoption across occupations.

Megatrends in Collaboration Using the Automotive Industry as an Example

Researchers:	Klett, Mona; Mohnen, Alwine
Outline:	This project analyzes how major digital transformation trends reshape human collaboration. In particular, it examines the effects of remote and hybrid work as well as artificial intelligence on collaboration, work practices, and organizational dynamics.

Digitalization - Algorithmic Organizational Decision-Making

Researchers:

Beck, Philipp; Mohnen, Alwine

Outline:

Algorithmic systems are increasingly used to guide organizational decision-making. This project examines how fairness in algorithmic decision-making is perceived across technical, business, and employee perspectives. Drawing on organizational justice theory, we investigate distributive, procedural, interpersonal, and informational fairness in contexts in which algorithms are embedded in organizational decision processes. Using qualitative interviews and stakeholder-perspective triangulation, the study generates insights into how algorithmic decision-making systems are understood and how their design can foster organizational acceptance.

Analogous vs. digital negotiation

Researchers:

Mohnen, Alwine; Toporova, Nevena; Drobner, Christoph; Uhl, Matthias; Walkowitz, Gari; Bodenschatz, Anja;

Outline:

The new designed master’s seminar „Successful negotiation with digital communication channels“ is supported by the “TUM Lehrfonds 2018”. The cross-faculty applicable course will demonstrate the influence of analogous and digital communication channels on individual negotiation successes. Individual learning objectives and learning progress will be recorded with an innovative Track-Record-App. Students should work out negotiation strategies and conduct negotiations individually or in groups successfully considering modern means of communication. The course is based on the existing lecture "basics of negotiation" which is already offered in the bachelor's studies TUM-BWL and will be extended by the digital frame. Negotiation in the analogous area will be amplified to include the digital perspective and should be expanded to other faculties. Special attention is paid to the comparison of negotiation characteristics and results of personal and digital communication in the negotiation process.