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Ethical Innovation Hub

The Ethical Innovation Hub is a transdisciplinary project joining technology, society and industry in responsible research and innovation. Since 2020, the EIH is driving sustainable innovation originating from ethical considerations.

The Ethical Innovation Hub is a joint project of the Institute for Electrical Engineering in Medicine and the Institute for the History of Medicine and Science Studies.

The Virtual Ethical Innovation Lecture (The VEIL)

At the EIH, we invite researchers to present their thoughts, ideas, arguments and findings in brief virtual lectures plus Q&A. Subscribe to our newsletter get notified about upcoming lectures.

Our new program for the summer term 2021 is up!

Join the VEIL!

The Virtual Ethical Innovation Lecture (The VEIL)

Digital Sovereignty via E-Government

The project DigS-Gov (Digital Sovereignty via E-Government) addresses ethical implications while devising tools to enhance citizen's digital sovereignty in a human-centered approach.

The Ethical Innovation Hub is collaborating with the City of Lübeck, Institute for Interactive and Multimedia Systems, MACH AG and Nucleon e.V. in this interdisciplinary project. We are currently hiring!

KI-SIGS Responsible Innovation Platform

The Ethical Innovation Hub is part of the consortium KI-SIGS consisting of Northern Germany's leading AI research institutes, industry partners and university hospitals.

The consortium works to establish a synergistic ecosystem for medical AI solutions. The Ethical Innovation Hub is committed to contribute methods for responsible innovation.

Cooperative and Communicating AI

The project CoCoAI (Cooperative and Communicating AI) addresses ethical implications in a mobile deep learning-based deep vein thrombosis diagnostic system currently under development by the our industry partner ThinkSono.

The Ethical Innovation Hub is collaborating with the Institute for Medical Informatics and the Institute for Interactive and Multimedia Systems to devise recommendations for AI methods in the domain of medical image-guided diagnostics.