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Policy Studien zu Artificial Intelligence

  • Autorenbild: Simon Schwaiger
    Simon Schwaiger
  • 16. März 2022
  • 10 Min. Lesezeit

Mittlerweile steht fest, dass AI eine der zentralen Technologien zukünftiger Entwicklungen sein wird und das gesellschaftliche Leben in irgendeiner Art und Weise prägen wird. Wie dieser Einfluss auszusehen hat, wie er kontrolliert und gefördert werden kann, darüber machen sich auch die Politik und Politik-nahe Institutionen Gedanken. Nachfolgend finden Sie eine Liste an Policy Studien im Kontext von AI.



  • Filgueiras, F. (2023). Designing artificial intelligence policy: Comparing design spaces in Latin America. Latin American Policy, 14(1), 5-21. https://doi.org/10.1111/lamp.12282


  • Roberts, H., Cowls, J., Hine, E., Morley, J., Wang, V., Taddeo, M., & Floridi, L. (2023). Governing artificial intelligence in China and the European Union: Comparing aims and promoting ethical outcomes. The Information Society, 39(2), 79-97. https://doi.org/10.1080/01972243.2022.2124565


  • Tallberg, J., Erman, E., Furendal, M., Geith, J., Klamberg, M., & Lundgren, M. (2023). The Global Governance of Artificial Intelligence: Next Steps for Empirical and Normative Research. Available at SSRN 4424123. http://dx.doi.org/10.2139/ssrn.4424123


  • Karpouchtsis, C. B., & Schaal, G. S. (2023). Künstliche Intelligenz und Regierungskommunikation-State of the Art Report. https://doi.org/10.24405/14980


  • Schiff, D. S. (2023). Looking through a policy window with tinted glasses: Setting the agenda for US AI policy. Review of Policy Research. https://doi.org/10.1111/ropr.12535



  • Burnay, M., & Circiumaru, A. (2023). 15. The AI global order: what place for the European Union?. Contestation and Polarization in Global Governance: European Responses, 264.



  • Guenduez A., Mettler, T. (2023). Strategically constructed narratives on artificial intelligence: What stories are told in governmental artificial intelligence policies?, Government Information Quarterly, Volume 40, Issue 1, 101719, https://doi.org/10.1016/j.giq.2022.101719


  • Francisco, M. (2023). Artificial intelligence for environmental security: national, international, human and ecological perspectives, Current Opinion in Environmental Sustainability, Volume 61, https://doi.org/10.1016/j.cosust.2022.101250


  • Gleb Papyshev & Masaru Yarime (2023) The state’s role in governing artificial intelligence: development, control, and promotion through national strategies, Policy Design and Practice, DOI: 10.1080/25741292.2022.2162252


  • Medaglia, R., Gil-Garcia, J. R., & Pardo, T. A. (2023). Artificial intelligence in government: taking stock and moving forward. Social Science Computer Review, 41(1), 123-140. https://doi.org/10.1177/08944393211034087


  • Medaglia, R., Gil-Garcia, J. R., & Pardo, T. A. (2023). Artificial intelligence in government: taking stock and moving forward. Social Science Computer Review, 41(1), 123-140. https://doi.org/10.1177/08944393211034087


  • Djen, R.A.M., Nurmandi, A., Muallidin, I., Kurniawan, D., Loilatu, M.J. (2023). Artificial Intelligence: Bibliometric Analysis in Government Studies. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Seventh International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 465. Springer, Singapore. https://doi.org/10.1007/978-981-19-2397-5_39


  • Pente, P., Adams, C., Yuen, C. (2023). Artificial Intelligence, Ethics, and Art Education in a Posthuman World. In: Knochel, A.D., Sahara, O. (eds) Global Media Arts Education. Palgrave Studies in Educational Futures. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-031-05476-1_12



  • Wylde, V., Prakash, E., Hewage, C., Platts, J. (2023). Ethical Challenges in the Use of Digital Technologies: AI and Big Data. In: Montasari, R., Carpenter, V., Masys, A.J. (eds) Digital Transformation in Policing: The Promise, Perils and Solutions. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-031-09691-4_3



  • Wang, Y., Zhang, N., & Zhao, X. (2022). Understanding the Determinants in the Different Government AI Adoption Stages: Evidence of Local Government Chatbots in China. Social Science Computer Review, 40(2), 534-554. https://doi.org/10.1177/0894439320980132


  • Timothy R. Hannigan, Anthony R. Briggs, Rodrigo Valadao, Marc-David L. Seidel, P. Devereaux Jennings (2022). A new tool for policymakers: Mapping cultural possibilities in an emerging AI entrepreneurial ecosystem, Research Policy, Volume 51, Issue 9, Doi: https://doi.org/10.1016/j.respol.2021.104315


  • Samuel, J., Friedman, L. W., Samuel, Y. and Kashyap, R.,(2022). Artificial Intelligence Education and Governance: Preparing Human Intelligence for AI Driven Performance Augmentation, Frontiers in Artificial Intelligence, SSRN: https://ssrn.com/abstract=4019977


  • Mikalef,M., Lemmer, K., Schaefer, C., Ylinen, M., Olsen, O., Fjørtoft, Yngvar Torvatn, H., Gupta, M., Niehaves, B. (2022). Enabling AI capabilities in government agencies: A study of determinants for European municipalities, Government Information Quarterly, Volume 39, Issue 4. Doi: https://doi.org/10.1016/j.giq.2021.101596


  • Van Noordt, C. & Misuraca, G. (2022) Artificial intelligence for the public sector: results of landscaping the use of AI in government across the European Union, Government Information Quarterly, Volume 39, Issue 3, Doi: https://doi.org/10.1016/j.giq.2022.101714


  • Valle-Cruz, D., Fernandez-Cortez, V., Gil-Garcia, J. G. (2022). From E-budgeting to smart budgeting: Exploring the potential of artificial intelligence in government decision-making for resource allocation, Government Information Quarterly, Volume 39, Issue 2. DOI: https://doi.org/10.1016/j.giq.2021.101644


  • Kunschke, D., Spitz, M., Pohle, J. (2022). Regulierungsbestrebungen der Europäischen Kommission im Themenfeld Künstlichen Intelligenz. In: FinTech. Erich Schmidt Verlag GmbH & Co. KG, Berlin. https://doi.org/10.37307/b.978-3-503-20689-6.16




  • Sousa, M., Dal Mas, F., De Barros, G. & Tavares, N (2022). Artificial Intelligence: Technologies, Applications, and Policy Perspectives. Insights from Portugal. Teil von EAI/Springer Innovations in Communication and Computing book series (EAISICC). https://link.springer.com/chapter/10.1007/978-3-030-82763-2_6





  • Wellstead, A., Heikkila, T., & Wood, M. (2022). Fourth Industrial Revolution and algorithms: new challenges for policy design. In Research Handbook of Policy Design. Cheltenham, UK: Edward Elgar Publishing. https://doi.org/10.4337/9781839106606.00020







  • Salo-Pöntinen, H., & Saariluoma, P. (2022). Reflections on the human role in AI policy formulations: how do national AI strategies view people? Discover Artificial Intelligence, 2(1). https://doi.org/10.1007/s44163-022-00019-3



  • Velasco, C. (2022). Cybercrime and Artificial Intelligence. An overview of the work of international organizations on criminal justice and the international applicable instruments. ERA Forum. https://doi.org/10.1007/s12027-022-00702-z



  • Filgueiras, F. (2022). Artificial Intelligence Policy Regimes: Comparing Politics and Policy to National Strategies for Artificial Intelligence. Global Perspectives, 3(1). https://doi.org/10.1525/gp.2022.32362


  • Benefo, E. O., Tingler, A., White, M., Cover, J., Torres, L., Broussard, C., Shirmohammadi, A., Pradhan, A. K., & Patra, D. (2022). Ethical, legal, social, and economic (ELSE) implications of artificial intelligence at a global level: a scientometrics approach. AI and Ethics. https://doi.org/10.1007/s43681-021-00124-6


  • Sousa, M. J., dal Mas, F., Osório De Barros, G., & Tavares, N. (2022). Artificial Intelligence: Technologies, Applications, and Policy Perspectives. Insights from Portugal. Decision Intelligence Analytics and the Implementation of Strategic Business Management, 69–84. https://doi.org/10.1007/978-3-030-82763-2_6


  • Ulnicane, I., Knight, W., Leach, T., Stahl, B. C., & Wanjiku, W. G. (2021). Framing governance for a contested emerging technology:insights from AI policy. Policy and Society, 40(2), 158–177. https://doi.org/10.1080/14494035.2020.1855800


  • af Malmborg, F., & Trondal, J. (2021). Discursive framing and organizational venues: mechanisms of artificial intelligence policy adoption. International Review of Administrative Sciences, 002085232110075. https://doi.org/10.1177/00208523211007533










  • E. Prem, S. Ruhland. (2019): AI in Österreich: Eine Annäherung auf Basis wirtschaftsstatistischer Analysen. bmk.gv.at/dam/jcr:abf0cdc3-bd4c-4335- aef9-8e5b0a33c119/ai_potenzial_oesterreich.










  • Jelinek, T., Wallach, W. & Kerimi, D. (2021). Policy brief: the creation of a G20 coordinating committee for the governance of artificial intelligence. AI Ethics 1, 141–150. https://doi.org/10.1007/s43681-020-00019-y





  • De Nigris, S., Gomez-Gonzales, E., Gomez Gutierrez, E., Martens, B., Iglesias Portela, M., Vespe, M., Schade, S., Micheli, M., Kotsev, A., Mitton, I., Vesnic Alujevic, L., Pignatelli, F., Hradec, J., Nativi, S., Sanchez Martin, J.I., Hamon, R. and Junklewitz, H. (2021). Artificial Intelligence and Digital Transformation: early lessons from the COVID-19 crisis, Craglia, M. editor(s), EUR 30306 EN, Publications Office of the European Union, Luxembourg, ISBN 978-92-76-20802-0 (online), doi:10.2760/166278 (online), JRC121305. https://publications.jrc.ec.europa.eu/repository/bitstream/JRC121305/covidai_jrc_science_for_policy_report_final_20200720.pdf









  • Lytras, Miltiadis D., and Anna Visvizi. (2021). Artificial Intelligence and Cognitive Computing: Methods, Technologies, Systems, Applications and Policy Making, Sustainability 13, no. 7: 3598. https://doi.org/10.3390/su13073598


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