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AI & Society Lab

The AI & Society Lab is an inter- and transdisciplinary research laboratory. It functions as an interface and translator between academia on one side and industry and civil society on the other. The lab’s projects are focused on the concrete changes and challenges AI introduces and their societal implications, alongside the general question of how society is changing with the increasing integration of artificial intelligence in political, social and cultural processes. The lab’s impact can be measured in newly established connections between stakeholders and contributions to the discourse that allow for the conscious and informed governance of AI (be they academic papers, multi-stakeholder workshops, public events or media products). The lab aims to become a thought leader for an open, inclusive, human rights-friendly and sustainable AI in Europe.

 

The AI & Society Lab engages with practically relevant topics in order to explore the societal implications of AI applications, such as the question of how AI infrastructures can be developed and deployed in order to achieve the common good. At the same time, the lab looks at the concrete application of normative guidelines in governance processes. 
The lab sees itself as an experimental space for new formats to advance knowledge generation and knowledge transfer to AI. Together with our partners, we develop innovative research designs and event formats that enable a practical and interactive communication process. 
AI is a hot topic. But beyond the hype, it is about profound social changes that go hand in hand with an increasing automation of infrastructures. Together with our partners, we explore how this development can happen in a way that is inclusive, consistent with human rights and sustainable.

Contact

Theresa Züger, Dr.

Head of project team: Third Engagement Report | Project lead: AI & Society Lab

Recent Blog Posts

Further research programmes

  • Wissensarbeit | HIIG
    Entrepreneurship and innovation · Society and culture

    Artificial Intelligence & Knowledge Work – Implications, Opportunities And Risks

    The research project focuses on the use of Artificial Intelligence (AI) applications in the intraorganizational workplace of knowledge workers. The project investigates with which...
  • Konstruktion von künstlicher Intelligenz
    Politics and law · Society and culture

    The discursive and political construction of AI

    Talk about Artificial Intelligence (AI) is currently abundant. Commentators, politicians, start-up founders make us believe that AI will change how we live, communicate, work...
  • Dewmystifying AI
    Entrepreneurship and innovation · Society and culture

    Demystifying AI in entrepreneurship

    Artificial intelligence (AI) has the potential to sustainably change how value is created in all sectors. In order to tab into this potential for...
  • Gemeinsam digital
    Entrepreneurship and innovation · Society and culture

    Gemeinsam Digital

    _Gemeinsam digital, the Mittelstand 4.0-Kompetenzzentrum Berlin, is a central contact point for all companies in Berlin and nationwide that have questions about digitization. Our...

Completed research projects

Journal articles and conference proceedings

Katzenbach, C., Bareis, J. (2018). Global AI race: States aiming for the top. Digital Society Blog. Publication details

Ogolla, S. & Gupta, A. (2018). Inclusive Design – Methods To Ensure A High Degree Of Participation in Artificial Intelligence (AI) Systems. University of Oxford Connected Life 2018 – Conference Proceedings, 23-34. Publication details

Edited works

Thimm, C., & Bächle, T. C. (Eds.) (2019). Die Maschine: Freund oder Feind? Mensch und Technologie im digitalen Zeitalter. Wiesbaden: Springer VS. Publication details

Book contributions and chapters

Bächle, T. C., Ernst, C., Schröter, J., & Thimm, C. (2018). Selbstlernende autonome Systeme? – Medientechnologische und medientheoretische Bedingungen am Beispiel von Alphabets „Differentiable Neural Computer” (DNC)‘. In C. Engemann & A. Sudmann (Eds.), Machine Learning – Medien, Infrastrukturen und Technologien der Künstlichen Intelligenz (pp. 169-194). Bielefeld: transcript. Publication details

Thimm, C., & Bächle, T. C. (2018). Autonomie der Technologie und autonome Systeme als ethische Herausforderung. In M. Karmasin, F. Krotz, & M. Rath (Eds.), Maschinenethik. Normative Grenzen autonomer Systeme (pp. 73-87). Wiesbaden: Springer VS. Publication details

Bächle, T. C., Regier, P., & Bennewitz, M. (2017). Sensor und Sinnlichkeit. Humanoide Roboter als selbstlernende soziale Interfaces und die Obsoleszenz des Impliziten. In C. Ernst & J. Schröter (Eds.), Medien und implizites Wissen. Themenheft der Zeitschrift „Navigationen“, 2/2017 (pp. 66-85). Siegen: Universitätsverlag. Publication details

Other publications

Bächle, T. C., & Sauer, F. (2019). Autonomous Weapons Systems – Frank Sauer über die Regulation autonomer Waffen, [Audio Podcast] Exploring digital spheres – a podcast by HIIG. Retrieved from: hiig.de/podcast. Publication details

Bächle, T. C., & Baecker, D. (2019). Understanding (A)I? Dirk Baecker über den Beitrag der Systemtheorie zur Debatte um Künstliche Intelligenz, [Audio Podcast] Exploring digital spheres – a podcast by HIIG. Retrieved from: hiig.de/podcast. Publication details

Schmeiss, J., & Friederici, N. (2019). How much magic lies behind German AI production? Digital Society Blog. Publication details

Dreyer, S. / Schulz, W. (2018). Was bringt die Datenschutz-Grundverordnung für automatisierte Entscheidungssysteme? Gutachten zur neuen Datenschutz-Grundverordnung, expert report. Publication details

Ogolla, S. (2017). Artificial Intelligence at a Crossroads. Publication details