Responsible AI: Ethical and Societal Dimensions

Big Data and AI technologies are becoming increasingly significant in the lives of both individuals and society. However, the omnipresence of these technologies harbors numerous uncertainties and open questions: How will AI change our work, our lives, and the way we perceive ourselves? Against this background, how will we continue to take responsibility? Moreover, what kind of education will we need in the future?

Research Focus

Our research offers a framework for responsible innovation in the development and the employment of AI-related technology. Therefore, we focus on both technological and human factors that arise in the multiple interactions with AI. As an interdisciplinary team, we represent equally ethical, legal, technological, and pedagogical perspectives and address relevant issues on different levels. We examine where, when, and how the development respectively the application of AI technologies is generating norms. This implies e.g. as a precondition to analyze the location of normatively relevant choices in technological design. Furthermore, we identify explicit and implicit anthropologies of all stakeholders, as these shape their views on and understandings of AI – including its acceptance, possible capabilities, and limitations. Transparency requirements for AI are of central importance in this context. The same applies to a regulatory framework for training data for AI, which is to be developed in the course of our research. In a broader sense, we investigate what changes the democratic discourse and its constitutional preconditions are facing due to the described changes from a legal perspective.

In addition, we are researching possibilities for the technological realization of the above-mentioned predominantly legally and politically shaped conditions and goals, for example via privacy preserving record linkage in data collection and Machine Learning. Furthermore, we aim at making language-processing systems transparent and explainable in relevant functions (e.g. in the course of argument-based explanations). Aside from privacy, transparency and explainability, we seek ways to advance language procession to improve its abilities at manipulating language and turning it into actionable knowledge.

Finally, yet importantly, we focus on ethical and educational questions for today and even more in the future, it is of crucial importance to understand AI as a technology as well as a factor that influences how we perceive ourselves and our sense of responsibility. Therefore, we analyze which competencies can already be taught in schools, especially with regard to students’ everyday life in which they interact with these technologies. This implies technological knowledge, application competencies as well as the ability to reflect upon the individual role when powerful technologies become part of our everyday life.

Contact

Portrait of Prof. Dr. Birte Platow

Prof. Dr. Birte Platow

Leading Principal Investigator

TU Dresden

birte.platow@tu-dresden.de

Find out more about our research areas.

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut