OPM/IS 910 Susanne Klausing – London School of Economics, United Kingdom

Uhr

Susanne Klausing

Online-Seminar

Wir freuen uns sehr Susanne Klausing, London School of Economics, United Kingdom auf Einladung von Herrn Prof. Dr. Jens Förderer im Rahmen des CDSB-Seminars begrüßen zu dürfen.

Frau Susanne Klausing, London School of Economics, United Kingdom, wird online einen Vortrag zum Thema „From Regulatory to Institutional Information Assurance in Artificial Intelligence Innovation: Evidence from the California Consumer Privacy Act“ halten.

Der Vortrag findet am Mittwoch, den 25.03., von 12:00 bis 13:00 Uhr über Zoom statt.

Untenstehend finden Sie die Zugangsdaten zum Portal2 in dem Sie den Zoom Raum über folgenden Link abrufen: 

https://portal2.uni-mannheim.de:443/portal2/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=40547&periodId=1951&navigationPosition=hisinoneLehrorganisation,examEventOverview

Abstract

How do data protection regulations affect firms’ AI innovation in information assurance? Using a difference-in-differences analysis of U.S. AI patent data and text analysis of S&P 500 firms’ disclosed AI strategies, this study examines the impact of the California Consumer Privacy Act on AI innovation. We find that regulation does not suppress overall AI innovation but redirects it toward “assurance AI,” technologies that embed information assurance into system architectures. The regulatory effects display a J-shaped dynamic, an initial decline followed by strong growth; and they exhibit pronounced regional disparities, with high-tech regions leading and low-tech regions lagging, widening the digital divide in data protection capabilities. Firms’ discourse shifts from regulatory compliance to infrastructure investment, and inventive activity concentrates on confidentiality and integrity dimensions closely tied to the CCPA’s requirements. Patent citation analysis shows that firms are increasingly developing assurance AI through original designs rather than building on prior patents, suggesting a shift toward radical innovation. These developments cluster around personal data-processing technologies foundational to generative AI. Overall, the findings illustrate how data protection laws reshape both the direction and scale of innovation, as firms reallocate innovation effort over time and across regions toward information assurance and more responsible AI architectures. 

Speaker Bio

Susanne is a fourth-year PhD student in the Information Systems group at the London School of Economics, where her dissertation examines how organizations navigate the tension between AI innovation and responsibility concerns, with a particular focus on privacy. She holds an MSc in Social Science of the Internet from the University of Oxford, an Honours Degree in Technology Management from the Centre for Digital Technology and Management (CDTM), and a BSc in Business Administration from LMU Munich. Her research experience spans the Oxford Internet Institute, Columbia University, and the Berkman Klein Center for Internet & Society at Harvard University. Prior to joining LSE, she worked as an AI Project Lead at appliedAI in Munich.

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