Ethical and Trustworthy Artificial and Machine Intelligence

Project Number: A1



Principal Investigators:
Ingo Schulz-Schaeffer

Postdoctoral Researchers:
Dafna Burema


Expected Project Duration
2020 - 2025

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Ethical and Trustworthy Artificial and Machine Intelligence

Etami stands for Ethical and Trustworthy Artificial and Machine Intelligence, and is a Europe-based consortium which actively supports the ethical and trustworthy development and use of artificial intelligence.

Etami actively supports and promotes the trustworthy and ethical development and use of Artificial Intelligence. The consortium joins ten multinational companies with seven universities and research organisations in their pledge to follow European and global guidelines on the ethical use of AI. etami sets off to develop actionable and measurable guidelines to satisfy these ethical principles. It thus enables accountability by developing standardised criteria and assessment procedures for ethics and AI.

In collaboration with ABB Asea Brown Boveri Ltd, ATOS SE, AVL List GmbH, Continental Automotive GmbH, Deutsche Bahn AG, Deutsche Telekom AG, Leonardo S.p.A., Siemens Aktiengesellschaft, Volkswagen Aktiengesellschaft, Zalando SE, Eötvös Loránd University, Katholieke Universiteit Leuven, Technische Universität Kaiserslautern, Technische Universität Berlin, Technische Universität München, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI), UnternehmerTUM GmbH.

Project Results

SCIoI’s contribution to the development of new ideas to foster ethical AI, is the introduction of a sectors based approach to AI ethics together with etami partners Volkswagen Group, the German Research Center for Artifical Intelligence (DFKI), the Responsible Technology Hub. This perspective acknowledges that sectors have their own internal rules and structures that could influence AI deployment. After analyzing 125 cases of incidents with AI after deployment, a cross sectoral analysis was conducted. Results show that, while certain ethical issues are found across sectors, pre-existing sector specific issues trickle down to AI deployment. Moving forward, one has to have historical knowledge about sectors and their institutions in order to foster ethical principles such as fairness.

Burema, D., Jacobs, M., & Rozborski, F. (2023). Elusive technologies, elusive responsibilities: on the perceived responsibility of basic AI researchers. AI and Ethics.
Burema, D., Debowski-Weimann, N., Janowski, A. V., Grabowski, J., Maftei, M., Jacobs, M., Smagt, P. V. D., & Benbouzid, D. (2023). A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context. AAAI/ACM Conference on AI, Ethics, and Society (AIES ’23).


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