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See detailMediating the Tension between Data Sharing and Privacy: The Case of DMA and GDPR
Weigl, Linda UL; Barbereau, Tom Josua UL; Sedlmeir, Johannes UL et al

in Proceedings of the 31st European Conference on Information Systems (ECIS) (2023, June 11)

The Digital Markets Act (DMA) constitutes a crucial part of the European legislative framework addressing the dominance of 'Big Tech'. It intends to foster fairness and competition in Europe's digital ... [more ▼]

The Digital Markets Act (DMA) constitutes a crucial part of the European legislative framework addressing the dominance of 'Big Tech'. It intends to foster fairness and competition in Europe's digital platform economy by imposing obligations on 'gatekeepers' to share end-user-related information with business users. Yet, this may involve the processing of personal data subject to the General Data Protection Regulation (GDPR). The obligation to provide access to personal data in a GDPR-compliant manner poses a regulatory and technical challenge and can serve as a justification for gatekeepers to refrain from data sharing. In this research-in-progress paper, we analyze key tensions between the DMA and the GDPR through the paradox perspective. We argue through a task-technology fit approach how privacy-enhancing technologies-particularly anonymization techniques-and portability could help mediate tensions between data sharing and privacy. Our contribution provides theoretical and practical insights to facilitate legal compliance. [less ▲]

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See detailFederated Learning as a Solution for Problems Related to Intergovernmental Data Sharing
Sprenkamp, Kilian; Delgado Fernandez, Joaquin UL; Eckhardt, Sven et al

in Proceedings of the 56th Hawaii International Conference on System Sciences (2023, January 03)

To address global problems, intergovernmental collaboration is needed. Modern solutions to these problems often include data-driven methods like artificial intelligence (AI), which require large amounts ... [more ▼]

To address global problems, intergovernmental collaboration is needed. Modern solutions to these problems often include data-driven methods like artificial intelligence (AI), which require large amounts of data to perform well. However, data sharing between governments is limited. A possible solution is federated learning (FL), a decentralised AI method created to utilise personal information on edge devices. Instead of sharing data, governments can build their own models and just share the model parameters with a centralised server aggregating all parameters, resulting in a superior overall model. By conducting a structured literature review, we show how major intergovernmental data sharing challenges like disincentives, legal and ethical issues as well as technical constraints can be solved through FL. Enhanced AI while maintaining privacy through FL thus allows governments to collaboratively address global problems, which will positively impact governments and citizens. [less ▲]

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See detailUser-centricity and Public Values in eGovernment: Friend or Foe?
Weigl, Linda UL; Amard, Alexandre UL; Marxen, Hanna UL et al

in Proceedings of the 30th European Conference on Information Systems (ECIS) (2022, July)

In their delivery of services, public administrations seek to develop a ‘citizen-centric’ approach. Concomitantly, user-centricity is emerging as a widely accepted construct for Web 3.0 applications ... [more ▼]

In their delivery of services, public administrations seek to develop a ‘citizen-centric’ approach. Concomitantly, user-centricity is emerging as a widely accepted construct for Web 3.0 applications supporting the digital interaction between service providers and recipients. The digitalization of public services can positively impact important public values, such as efficiency and transparency. However, the digital divide highlights that information and communication technologies can simultaneously neglect public needs. This begs the question of whether user-centricity reflects or conflicts with public values. To answer this question, we present a systematic review of existing literature on user-centricity and public values. The contribution of this paper is an extended taxonomy of public values for user-centricity, as well as recommendations for public policy to address conflicts between public values and user-centricity. [less ▲]

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