{"id":1895,"date":"2016-02-01T14:31:44","date_gmt":"2016-02-01T14:31:44","guid":{"rendered":"http:\/\/dataethics.eu\/?p=1895"},"modified":"2016-02-03T13:58:30","modified_gmt":"2016-02-03T13:58:30","slug":"1895-2","status":"publish","type":"post","link":"https:\/\/dataethics.eu\/da\/1895-2\/","title":{"rendered":"Dataansvarlighed – et nyt EU-princip"},"content":{"rendered":"

Blog.<\/strong> I januar blev Databeskyttelsesdagen<\/a> fejret ved flere arrangementer i K\u00f8benhavn og rundt om i Europa for at markere 10-\u00e5ret for Europar\u00e5dets introduktion af den 28. januar som international Databeskyttelsesdag.<\/p>\n

Den danske, nationale konference blev holdt p\u00e5 Christiansborg og satte fokus p\u00e5 den nye EU forordning om persondatabeskyttelse. Et af de nye principper, som forordningen introducerer er princippet om dataansvarlighed og de tilknyttede krav til fair og transparent databehandling.<\/p>\n

Accountability <\/em>er nemlig en af de nyskabelser, som den kommende EU-forordningen om persondatabeskyttelse indeholder \u2013 og netop det princip er mere relevant end nogensinde f\u00f8r. Data og is\u00e6r muligheden for at analysere data i stor skala ved hj\u00e6lp af big data analytics<\/em> vurderes at blive fremtidens \u201dolie\u201d, alts\u00e5 det r\u00e5stof, som skaber v\u00e6kst og udvikling i samfundet. P\u00e5 det netop overst\u00e5ede World Economic Forum i Davos var et af hovedtemaerne da ogs\u00e5 \u201cDen fjerde industrielle revolution\u201d. Her blev det diskuteret, hvordan data potentielt kan l\u00f8fte verdens indkomster og vores livskvalitet. Men der var ogs\u00e5 blik for, den nye udnyttelse af data kan skabe endnu st\u00f8rre ulighed.<\/p>\n

Denne risiko bekr\u00e6ftede US Federal Trade Commission tidligere p\u00e5 m\u00e5neden i rapporten Big data \u2013 a tool for inclusion or exclusion?<\/a>\"Privacy FTC gav her eksempler p\u00e5, hvordan big data analyser kan f\u00f8re til, at lavindkomstfamilier og udsattte personer udelukkes fra arbejdsmarkedet, fra uddannelse, l\u00e5n og kredit p\u00e5 grund af en segmentering eller profilering, der fx bygger p\u00e5 indkomst, adresse, alder eller k\u00f8n. Omvendt vil analyserne ogs\u00e5 netop kunne afd\u00e6kke disse grupper og g\u00f8re noget s\u00e6rligt for at inkludere dem i samfundet.<\/p>\n

Risikoen for ulighed og eksklusion opst\u00e5r, fordi de datam\u00e6ngder, vi indsamler er meget st\u00f8rre end tidligere og rummer mange forskellige typer af data. De omfatter data, der lagres om vores daglige brug af sociale medier og apps, eller om vores s\u00f8gning p\u00e5 nettet via cookies, vores bev\u00e6gelser i trafikken og i byrummet ved hj\u00e6lp af wi fi, kameraer og vores mobiltelefoners unikke numre. Ved at kombinere disse data med de data, vi efterlader eller giver fra os som kunder, borgere, patienter, medlemmer og passagerer, er det muligt at skabe indsigt i vores liv og privatsf\u00e6re. Og ved at bruge algoritmer til at analysere disse data er det muligt at skabe detaljerede profiler af vores k\u00f8bem\u00f8nstre, opholdssteder og geografiske bev\u00e6gelser, vores rejser, relationer til andre mennesker og milj\u00f8er samt pr\u00e6ferencer for musik, kultur og politik.<\/p>\n

Et popul\u00e6rt eksempel p\u00e5 brug af big data med overraskende konsekvenser er den amerikanske butiksk\u00e6de Targets brug af deres register over gravide kunders \u00f8nskelister og forventede f\u00f8dselstidspunkt til at afd\u00e6kke forbrugsm\u00f8nsteret hos gravide kvinder. Ved at korrelere f\u00f8dselstidspunkt og k\u00f8bstidspunkt for bestemte produkter, kunne de sende reklamemateriale til de kunder, som havde samme k\u00f8beadf\u00e6rd som gravide. Blandt modtagerne var en teenagepige og hendes far reagerede ved at klage til Target over at hans datter modtog materiale, for hun var jo ikke var gravid. Det viste sig imidlertid, at datteren faktisk var gravid, men endnu ikke havde fortalt det til sin far.<\/p>\n

Netop i \u00e5r er der en helt s\u00e6rlig grund til at se p\u00e5, om danske virksomheder har styr p\u00e5 beskyttelsen persondata om kunder og medarbejdere. EU vedtager nemlig her i for\u00e5ret en forordning om persondatabeskyttelse. Forordningen stiller krav om, at der udf\u00f8res vurderinger af risikoen for at p\u00e5virke den enkelte kunde eller medarbejders persondatabeskyttelse negativt. Det vil fx v\u00e6re n\u00f8dvendigt, hvis tab eller l\u00e6k af de behandlede data eller en medarbejders uatoriserede adgang til data, skaber risiko for fx diskrimination eller ID-tyveri. Forordningen repr\u00e6senterer s\u00e5ledes en modv\u00e6gt til den potente teknologianvendelse og bidrager med sine nye og skrappere krav til beskyttelse af den enkelte persons data og privatliv til, at vi i bev\u00e6gelsen mod at se data som den nye olie husker, at persondatabeskyttelsen er \u201ddet nye sort.\u201d<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Blog. 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