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            Was machen Digitalisierung und Künstliche Intelligenz mit der Psychotherapie?

            Einwürfe und Provokationen

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            Contributor(s)
            Lauer, Gerhard (editor)
            Schmidt, Robin (editor)
            te Wildt, Bert (editor)
            Language
            German
            Show full item record
            Abstract
            Throughout their history, the protagonists of psychoanalysis and psychotherapy research have not only dealt with individual disorders but also with collective conflicts, for example when it comes to dealing with transgenerational trauma or dealing with new technologies. In this tradition, the 3rd Dießen retreat asks questions about what the future of psychotherapy will look like under the influence of virtual reality, artificial intelligence and robotics and how it will change humanity's self-image of its vastness and limits. In this volume, representatives from science and practice, politics and business, journalism and culture who are concerned with psychotherapeutic questions in a narrower or broader sense have their say to discuss what the digital future of psychotherapy and its image of humanity could best look like.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/162665
            Keywords
            psychotherapy; Artificial intelligence; digitalization; Political education; thema EDItEUR::3 Time period qualifiers::3M c 1500 onwards to present day::3MR 21st century, c 2000 to c 2100::3MRB Early 21st century c 2000 to c 2050; thema EDItEUR::N History and Archaeology::NH History::NHT History: specific events and topics::NHTB Social and cultural history
            DOI
            10.1515/9783111509341
            ISBN
            9783111509341, 9783111508726, 9783111509624
            Publisher
            De Gruyter
            Publisher website
            http://www.degruyter.com/
            Publication date and place
            Berlin/Boston, 2024
            Imprint
            De Gruyter Oldenbourg
            Pages
            244
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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