Teaching & Learning
- The source describes instructional use and support features rather than a student conduct policy
- ESMT states that it uses course-specific AI tools to support students and provide feedback on assignments, but it does not define a rule on whether students may or may not use AI to complete graded coursework
We currently offer over 25 course-specific AI tools – our “course GPTs” – that provide personalized support anytime. These systems explain concepts, offer examples, and give tailored feedback on assignments.
- ESMT permits and actively provides AI-enabled learning support for students
- The university states that its course GPTs offer concept explanations, examples, brainstorming, and feedback, and it also offers a course focused on practical AI literacy
We currently offer over 25 course-specific AI tools – our “course GPTs” – that provide personalized support anytime. These systems explain concepts, offer examples, and give tailored feedback on assignments.
Our course “Supercharge Your Learning with AI” teaches practical AI literacy through hands-on experimentation.
Research
- For PhD research training, ESMT states that candidates can access seminars on using generative AI for research tasks
- However, the university does not define a specific policy on using AI to draft, edit, or prepare manuscripts, theses, or dissertations
Develop your research skills, mostly in the quantitative areas, currently offering a series of seminars on using generative AI for various research tasks.
- The sources do not define a formal rule governing AI use for research data collection, analysis, or interpretation
- ESMT states that PhD candidates may take courses in machine learning, analytics, and data science, and it highlights seminars on using generative AI for research tasks
The courses are not limited to management science, allowing candidates to choose from topics in economics, machine learning, analytics, and data science.
Develop your research skills, mostly in the quantitative areas, currently offering a series of seminars on using generative AI for various research tasks.
- The sources do not define specific rules for grant proposals, IRB applications, ethics declarations, or research-integrity disclosures tied to AI
- ESMT states that its AI governance framework is intended to ensure responsible use through guidelines, transparency, and ongoing review, and it says students and colleagues are asked to question AI's impact on privacy, equity, and society
As educators, we have a responsibility to prepare leaders who can use technology for the greater good. We ask students and colleagues not only to use AI, but to question its impact – on privacy, equity, and society. Our governance framework, developed with the Legal team, ensures responsible use through clear guidelines, transparency, and ongoing review.
Academic Integrity
- ESMT references transparency as part of its governance framework for responsible AI use, but the provided sources do not define a requirement for students or researchers to disclose or cite AI use in submitted work
Our governance framework, developed with the Legal team, ensures responsible use through clear guidelines, transparency, and ongoing review.
Institutional & Administrative
- ESMT permits and promotes faculty use of AI in teaching and administrative work
- The university states that the Digital Innovation and Transformation unit integrates emerging technologies into teaching and operations, that faculty use AI-supported solutions for teaching challenges, and that AI helps with grading, feedback, content development, and administrative tasks
We created the Digital Innovation and Transformation (DIT) unit to integrate emerging technologies into teaching and operations, ensuring they enhance learning and align with our mission.
At ESMT, faculty set high standards for innovation, keen to safeguard academic rigor and preserve meaningful student interaction. We approached this challenge not with sweeping promises but with practical solutions to everyday frustrations: grading and feedback that consumed weekends, administrative tasks that reduced time for student engagement, and course content updates requiring hours of manual research.
In hands-on workshops, faculty tackled their own teaching challenges and left with ready-to-use, AI-supported solutions.
These tools support idea generation, streamline content development, and free up time for mentoring and direct student engagement.
- ESMT defines data-protection conditions for AI-enabled video-conference and learning platforms used by the institution
- It states that personal data from participation in video conferences is not disclosed to third parties unless intended or legally required, identifies specific providers used by ESMT, and records GDPR-related contractual safeguards and cross-border processing conditions for AI features such as transcriptions, meeting summaries, quick-polls, and the Full Fabric 'Mentor' feature
• We do not disclose personal data processed in connection with participation in video conferences to third parties unless it is specifically intended for disclosure or we are legally obligated to do so. This does not affect the processing of personal data by the providers of the video conference tools mentioned below, which may be used at ESMT.
ESMT works with the providers listed below. If these are US companies, they all actively participate in the EU-US Data Privacy Framework (DPF) and are certified accordingly. Since July 10, 2023, there has been a new adequacy decision of the European Commission for participants of the EU-US DPF.
• Engageli (Data Privacy) is an E-learning platform by an US provider. Engageli Employs its AI Tool to generate transcriptions and Quick-Polls. We have concluded Standard Contractual Clauses with Engageli, Inc. that complies with the requirements of Art. 28 GDPR.
• Zoom X (Data privacy | Deutsche Telekom) is a service provided by Telekom Deutschland GmbH. Zoom X utilizes an AI Companion to generate transcriptions and meeting summaries. We have concluded a data processing agreement with Telekom Deutschland GmbH. that complies with the requirements of Art. 28 GDPR. An adequate level of data protection is ensured by the conclusion of the so-called EU standard contractual clauses. In addition, it is agreed that personal data shall be processed on EU servers. Nevertheless, it is not excluded that processing also takes place in a third country.
• Cisco Webex (Cisco Online Datenschutzrichtlinie - Cisco) is a service provided by an US provider. Cisco Webex utilizes its AI-powered Webex Assistant to generate transcriptions and meeting summaries. Cisco Webex utilizes its AI powered Webex Assistant to generate real-time transcriptions and meeting summaries. We have concluded a data processing agreement with Cisco Webex that complies with the requirements of Art. 28 GDPR. An adequate level of data protection is ensured by the conclusion of the so-called EU standard contractual clauses. Personal data is partly processed on an EU server. It is therefore not excluded that processing also takes place in a third country.
• Full Fabric (Data Privacy) is an application and student-management platform provided by a European vendor. Full Fabric uses AI-supported feature “Mentor”. We have concluded a Data Processing Agreement with Full Fabric in accordance with Art. 28 GDPR. It is agreed that personal data shall be processed on EU servers. Nevertheless, it is not excluded that processing also
- ESMT states that it has an institutional AI strategy and governance approach
- The university says it invested in digital maturity before generative AI became widespread, created the Digital Innovation and Transformation unit to integrate emerging technologies into teaching and operations, launched an AI Pioneers program to accelerate adoption, and uses a governance framework developed with the Legal team that relies on guidelines, transparency, ongoing review, dialogue, feedback loops, and policy refinement
Long before “generative AI” entered everyday conversation, ESMT leadership made a strategic decision: invest in digital maturity not as a reaction to an immediate problem, but as a way to future-proof the institution. We created the Digital Innovation and Transformation (DIT) unit to integrate emerging technologies into teaching and operations, ensuring they enhance learning and align with our mission.
Our governance framework, developed with the Legal team, ensures responsible use through clear guidelines, transparency, and ongoing review.
We built on this momentum by launching the AI Pioneers program – a voluntary, peer-led community that accelerated adoption across the school.
We address them through ongoing dialogue, feedback loops, and policy refinement guided by our Legal team’s governance framework. This responsive approach keeps our guidelines current with rapidly evolving technology while maintaining accountability.
DocuMark: Responsible AI Use for Academic Integrity
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Common Questions About European School of Management and Technology (Berlin)'s AI Policies
European School of Management and Technology (Berlin) has defined AI policies in 9 of 12 categories, with an overall coverage score of 75%.
ESMT references transparency as part of its governance framework for responsible AI use, but the provided sources do not define a requirement for students or researchers to disclose or cite AI use in submitted work.
No explicit detection or enforcement process is currently defined in the available policy sources.
ESMT defines data-protection conditions for AI-enabled video-conference and learning platforms used by the institution. It states that personal data from participation in video conferences is not disclosed to third parties unless intended or legally required, identifies specific providers used by ESMT, and records GDPR-related contractual safeguards and cross-border processing conditions for AI features such as transcriptions, meeting summaries, quick-polls, and the Full Fabric 'Mentor' feature.