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DaSKITA – Datensouveränität durch KI-basierte Transparenz und Auskunft

Duration

01.01.2020 - 31.03.2024

Description

The aim of the project DaSKITA is the design and prototypical implementation of AI-based concepts, mechanisms and tools which enable consumers to obtain a higher level of awareness and self-determination in the context of data-driven services. Transparency and the right of access have always been an integral part of privacy / data protection regulations: to be able to act in a sovereign and self-determined way in everyday digital life, consumers need to know “who knows what, when, and on what occasion about them" (BVerfG 65, 1). In practice, however, both – the exercise of such rights as well as the actual understanding of provided information – are subject to prohibitive hurdles for consumers who are are, basically existing rights notwithstanding, usually not sufficiently informed to actually act in a sovereign and self-determined manner in everyday digital life. In close cooperation between computer science, legal and socio-political research as well as corporate practice, specific, AI-based technologies for the low-effort exercise of transparency and access rights, for simplified reception of appropriate information and its machine-readable provision by service providers are to be developed in the project DaSKITA. Thus, a sustainable contribution to consumer sovereignty in everyday digital life can be achieved. Following a concept of “privacy engineering” that goes well beyond mere data minimization and security, this shall provide a significant contribution to the technically mediated fulfillment of the requirements given by, in particular, the GDPR (“privacy/data protection by design”). Project partners are the Department of Information Systems Engineering (ISE) at TU Berlin and iRights.lab. The project is supported by funds of the Federal Ministry of Justice and Consumer Protection (BMJV) based on a decision of the Parliament of the Federal Republic of Germany via the Federal Office for Agriculture and Food (BLE) under the innovation support program.


Partner TU Berlin, iRights.lab

Contact person Frank Pallas
TU Berlin, Information Systems Engineering
Einsteinufer 17
10587 Berlin
Germany
E-Mail: frank.pallas[at]tu-berlin.de
Telefon: +49 (0) 30 314 73285

Website https://daskita.github.io