EIS at the conference for industrial, organizational and economic psychology (AOW) 2019 in Braunschweig (September 26, 2019)

Last week, Lena Kästner and Markus Langer had the opportunity to present the topic Explainable Artificial Intelligence (XAI) and the idea behind our research project Explainable Intelligent Systems (EIS) to an attentive audience at the AOW 2019. A fascinating discussion was prompted, following the presentation of the two researchers and after having bridged the terminological […]

Workshop: final program, abstracts, new location, …

You can now download the final version of our program as well as a compilation of abstracts on our workshop page. Please note that due to high demand, our workshop location has been changed to building E 2.1, room 0.1. In case you are not familiar with our campus, please find a map of it […]

EIS goes green

At the invitation of the local university branch of the Fridays for Future movement, Kevin Baum gave a talk on digitization and climate change. Besides an overview of the direct and indirect effects of digital products, he also emphasized the need for better ways of decision-making in a complex world with interdependent policy possibilities. He […]

EIS goes Athens: ESPP 2019

At the beginning of September, the EIS team contributed the interdisciplinary symposium on “Explainable Intelligent Systems and the Trustworthiness of Artificial Experts” for the third time. We presented at the 27th International Conference of the European Society for Philosophy and Psychology (ESPP), with Viviane Hähne, Lena Kästner, Daniel Oster, and Timo Speith as speakers. In […]

EIS Symposium at EuroCogSci 2019 in Bochum

The EIS team contributed an interdisciplinary symposium on “Explainable Intelligent Systems and the Trustworthiness of Artificial Experts” to the conference EuroCogSci, with Tina Feldkamp, Daniel Oster, Eva Schmidt, and Timo Speith as speakers. We used the symposium to give some of our junior researchers a chance to present in front of an international audience, and […]

For Otherwise We Don’t Know What They Are Doing: Why AI Systems Need to Be Explainable

Intelligent systems increasingly support or take over human decisions. This development influences all areas of human life: Intelligent systems recommend new shows on streaming portals, support online searches by giving recommendations, automatically screen thousands of applicants, predict crime, or support medical diagnosis. Systems support human decision-making and work tasks by filtering and analyzing information, providing […]

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