Public Interest AI
The use of artificial intelligence for the public interest is repeatedly formulated as a central goal in political AI strategies, guidelines and government funding measures, as well as in projects from commercial enterprises. However, it is still unclear whether and, above all, how the public interest orientation of AI applications can be realised and how it can be checked. The “Public Interest AI” research group is therefore developing an operationalisable analysis procedure that will allow Public Interest to be defined in an AI-specific way and tested in technical prototypes. With this practice-oriented research approach, the research group is developing an exemplary catalog of requirements for assessing to what extent socially oriented AI projects serve the public interest. As a result, this can function both as an important contribution to the discourse on AI development in Europe and as practical implementation guidelines for AI developers.
| Duration | October 2020 – September 2024 |
| Sponsor | Federal Ministry of Education and Research | FKZ 01IS20058 |
Theresa Züger, Dr.
New Open Talk Format
In our "Open Talk" series, we invite experts from the field of public good-oriented AI. With their different perspectives from research and practice, they help us to develop holistic answers on the use of artificial intelligence for the public interest.
Christopher RichterStudent Assistant: Public Interest AI
Ferdinand Bálint DorendorfStudent Assistant: AI & Society Lab
Freya HewettResearcher: AI & Society Lab
Hadi Asghari, Dr.Researcher: AI & Society Lab-
Irina KühnleinStudent Assistant: AI & Society Lab
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Johanna Teresa WallenbornAssociate Researcher: Knowledge & Society and SET
Judith FaßbenderResearcher: AI & Society Lab
Sami NennoResearcher: AI & Society Lab
Theresa Züger, Dr.Research Group Lead: Public Interest AI | AI & Society Lab
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Jakob Stolberg-LarsenFormer Researcher: AI & Society Lab
Journal articles and conference proceedings
Asghari, H., Stolberg-Larsen, J., & Züger, T. (2022). Approximating Accessibility of Regions from Incomplete Volunteered Data. CHI EA '22: CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-6. DOI: 10.1145/3491101.3519706 Publication details
Asghari, H., van Biemen, Thomas, & Warnier, Martijn (2021). Amplifying Privacy: Scaling Up Transparency Research Through Delegated Access Requests. 5th Workshop on Technology and Consumer Protection (ConPro ’21). Publication details
Mahieu, R., Asghari, H., Parsons, C., van Hoboken, J., Crete-Nishihata, M., Hilts, A., & Anstis, S. (2021). Measuring the Brussels Effect through Access Requests: Has the European General Data Protection Regulation Influenced the Data Protection Rights of Canadian Citizens? Journal of Information Policy, 11, 301-349. DOI: 10.5325/jinfopoli.11.2021.0301 Publication details
Hewett, F., & Stede, M. (2021). Automatically evaluating the conceptual complexity of German texts. Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021), 228–234. Publication details
Book contributions and chapters
Züger, T. (2021). The world we think is the world we get. In T. Bazzichelli, Whistleblowing for Change. Exposing Systems of Power & Injustice. Berlin, Germany: transcript. Publication details
Other publications
Fassbender, J. (2022). Why explainable AI needs such a thing as Society. Digital society blog. Publication details
Nenno, S. (2021). Siri’s evil sister. When the Dutch public service steals your data. Digital society blog. Publication details
Hewett, F., & Stede, M. (2021). Lexica corpus, . Publication details
Hewett, F., & Nenno, S. (2021). How to identify bias in Natural Language Processing. Digital society blog. Publication details
Nenno, S. (2021). How to find the right survey tool:problems and proposals. Elephant in the Lab. Publication details
Lectures and presentations
Particles of a whole: design patterns for transparent and auditable AI-systemsUbiComp '21: The 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Session: Particles of a whole: design patterns for transparent and auditable AI-systems). UbiComp. Online, New York, USA: 25.09.2021 Further information
Judith Faßbender
Automatically evaluating the conceptual complexity of German textsKONVENS 2021 (Session: Automatically evaluating the conceptual complexity of German texts). German Society for Computational Linguistics and Language Technology, the Special Interest Group on Computational Linguistics of the German Linguistic Society and the Austrian Society for Artificial Intelligence. Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany: 09.09.2021 Further information
Freya Hewett
AI with Volunteering CommunitiesThe 3rd Workshop on Artificial Intelligence for Social Good (Session: AI with Volunteering Communities). International Joint Conferences on Artificial Intelligence, Montreal, Canada: 21.08.2021 Further information
Stolberg-Larsen, J.
Amplifying Privacy: Scaling Up Transparency Research Through Delegated Access Requests5th Workshop on Technology and Consumer Protection (ConPro ’21) (Session: Amplifying Privacy: Scaling Up Transparency Research Through Delegated Access Requests). ConPro ’21. Online, San Francisco, USA: 27.05.2021 Further information
Hadi Asghari
Panels
Wie vermitteln wir Wissen über KI an die Bevölkerung?Auftaktveranstaltung: Zentrum für vertrauenswürdige Künstliche Intelligenz. iRights.Lab, Berlin, Germany: 07.12.2021 Further information
Theresa Züger
Young activists & human rights in a digital ageFundamental Rights Forum. Online, Fundamental Rights Forum, Warsaw, Poland: 11.10.2021 Further information
Theresa Züger
Gemeinwohlorientiert = Gemeinnützig? Unternehmen und gemeinwohlorientierte KIre:publica 21. Im Internet, Berlin, Germany: 21.05.2021 Further information
Theresa Züger
Organisation of events
Digitaler Salon: KI – Die Letzte räumt das Internet auf31.03.2021. Livestream, Berlin, Deutschland (National) Further information
Natasha Vukajlovic, Philip Meier, Christian Grauvogel