Research

The vision of autonomous driving, AI-supported medical diagnoses or robots designed to help children learn - the options offered by technological developments often present us with new epistemic and normative questions. Technology ethics weighs up the moral implications of new technologies under the uncertainty of their development and application by, among other things, explicating and discussing inherent value references.

Fo­cal points

Conditions of modern technical-scientific culture

Ethical assessments of technology are based on considerations from the philosophy of technology. The latter analyse human-technology relations in concrete application cases, uncover forms of subjectivation and objectivation of typical socio-technical configurations and highlight epistemic aspects that are intertwined with normative questions (e.g. explainable AI). Philosophy of technology also examines the differences between various understandings of technology and helps to reflect theoretically on the ongoing mechanisation of the modern world.

Eth­ics of ex­plain­able AI: What char­ac­ter­ises good ex­plan­a­tions?

AI is about to permeate all fields of society. Much of the technology contributing to this success is opaque. It is not immediately obvious why it is behaving in a certain way - for various reasons. This opacity can be problematic from an ethical perspective, for example when doctors have to justify decisions they have made using software that they only partially understand.

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Auto­mated and con­nec­ted driv­ing

One research focus of the department is the (post-) phenomenological analysis of automated and connected driving. How do autonomy and agency change with increasing levels of vehicle automation? How can the interaction between man and machine be ethically evaluated? What ideas of the good life underlie various visions of (fully automated) autonomous driving?

Di­git­al sus­tain­ab­il­ity

A further research project of the specialist group on the energy history of data centres is in preparation. Firstly, an overview is to be compiled of when and how the energy requirements of data centres have been assessed. Secondly, the epistemological and normative assumptions of the various standards, concepts and data sources used will be explicated. Thirdly, these findings will be discussed in the light of the news EU recommendations in accordance with the "Code of Conduct for Energy Efficiency in Data Centres".

Net­works

Cultures of the Cryosphere

Infrastructures, Politics and Futures of Artificial Cooling

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Constructing Explainability

Head of project B06: "Ethics and normativity of explainable AI"

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SAIL

SustAInable Life-cycle of Intelligent Socio-Technical Systems

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Yearbook Technikphiosophie

Editorship

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Association of German Engineers

Member of the VDI groups "Philosophy and Technology" and "Philosophy"

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Cooperative and Cognition-enabled AI

Member of the Joint Research Centre

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