DaSKI­TA

The chal­lenge

As early as 1983, the Fed­er­al Con­sti­tu­tion­al Court held that in order to be able to act in a self-deter­mined man­ner with regard to infor­ma­tion, con­sumers* must know “who knows what, when and on what occa­sion about them”. We are fur­ther away than ever from this ideal in view of the data vol­umes we gen­er­ate in every­day dig­i­tal life. In prac­tice, there are numer­ous obsta­cles to the exer­cise of infor­ma­tion rights against app providers or plat­form oper­a­tors.

Our approach

Check­ing, design­ing, test­ing: In coop­er­a­tion with the TU Berlin and the start-up Dile­cy, we will devel­op tech­ni­cal con­cepts and tools that effec­tive­ly relieve the bur­den on con­sumers. Instead of impos­ing the task of gath­er­ing infor­ma­tion on them, we want to make it increas­ing­ly auto­mat­ed and as inex­pen­sive as pos­si­ble. At the same time, we are ana­lyz­ing data pro­tec­tion con­cepts with regard to how this can be done in a legal­ly com­pli­ant man­ner and across ser­vices.

The result

At the end of a three-year devel­op­ment cycle there is a tech­ni­cal pro­to­type that con­tin­u­ous­ly obtains trans­paren­cy infor­ma­tion and plays it out in var­i­ous forms: as a plug-in for desk­top browsers, smart­phones or by means of smart home assis­tants. In order to think about the con­sumer pol­i­cy con­se­quences of the project, a con­tin­u­ous exchange with social actors dur­ing the devel­op­ment process is planned.

DaSKI­TA (Data Sov­er­eign­ty through AI-based Trans­paren­cy and Infor­ma­tion) is fund­ed by the Fed­er­al Min­istry of Jus­tice and for Con­sumer Pro­tec­tion based on a res­o­lu­tion of the Ger­man Bun­destag.